Merge pull request 'vcpkg' (#1) from vcpkg into main

Reviewed-on: #1

.gitmodules

@@ -1,10 +0,0 @@
-
-[submodule "lib/json"]
-	path = lib/json
-	url = https://github.com/nlohmann/json.git
-[submodule "lib/catch2"]
-	path = lib/catch2
-	url = https://github.com/catchorg/Catch2.git
-[submodule "lib/mdlp"]
-	path = lib/mdlp
-	url = https://github.com/rmontanana/mdlp

CMakeLists.txt

@@ -45,6 +45,8 @@ endif()
 find_package(Python3 3.11 COMPONENTS Interpreter Development REQUIRED)
 message("Python3_LIBRARIES=${Python3_LIBRARIES}")
 
+find_package(nlohmann_json CONFIG REQUIRED)
+
 # CMakes modules
 # --------------
 set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake/modules ${CMAKE_MODULE_PATH})
@@ -64,9 +66,10 @@ endif (ENABLE_CLANG_TIDY)
 
 # External libraries - dependencies of PyClassifiers
 # --------------------------------------------------
-find_library(BayesNet NAMES libBayesNet BayesNet libBayesNet.a PATHS ${PyClassifiers_SOURCE_DIR}/../lib/lib REQUIRED)
+find_library(bayesnet NAMES libbayesnet bayesnet libbayesnet.a PATHS ${PyClassifiers_SOURCE_DIR}/../lib/lib REQUIRED)
-find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet PATHS ${PyClassifiers_SOURCE_DIR}/../lib/include)
+find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet PATHS ../lib/include)
-message(STATUS "BayesNet=${BayesNet}")
+
+message(STATUS "BayesNet=${bayesnet}")
 message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
 
 
@@ -78,9 +81,8 @@ add_subdirectory(pyclfs)
 # -------
 if (ENABLE_TESTING)
   MESSAGE("Testing enabled")
-  add_git_submodule(lib/catch2)
+  find_package(Catch2 CONFIG REQUIRED)
-  add_git_submodule(lib/mdlp)
+  find_package(arff-files CONFIG REQUIRED)
-  add_subdirectory(lib/Files)
   include(CTest)
   add_subdirectory(tests)
 endif (ENABLE_TESTING)
@@ -92,4 +94,4 @@ install(TARGETS PyClassifiers
         LIBRARY DESTINATION lib
         CONFIGURATIONS Release)
 install(DIRECTORY pyclfs/ DESTINATION include/pyclassifiers FILES_MATCHING CONFIGURATIONS Release PATTERN "*.h" PATTERN "*.hpp")
-install(FILES ${Bayesnet_INCLUDE_DIRS}/bayesnet/config.h DESTINATION include/pyclassifiers CONFIGURATIONS Release)
+install(FILES ${Bayesnet_INCLUDE_DIRS}/bayesnet/config.h DESTINATION include/pyclassifiers CONFIGURATIONS Release)

Makefile

@@ -52,14 +52,14 @@ debug: ## Build a debug version of the project
 	@echo ">>> Building Debug PyClassifiers...";
 	@if [ -d ./$(f_debug) ]; then rm -rf ./$(f_debug); fi
 	@mkdir $(f_debug); 
-	@cmake -S . -B $(f_debug) -D CMAKE_BUILD_TYPE=Debug -D ENABLE_TESTING=ON -D CODE_COVERAGE=ON
+	@cmake -S . -B $(f_debug) -D CMAKE_BUILD_TYPE=Debug -D ENABLE_TESTING=ON -D CODE_COVERAGE=ON -DCMAKE_TOOLCHAIN_FILE=${VCPKG_ROOT}/scripts/buildsystems/vcpkg.cmake
 	@echo ">>> Done";
 
 release: ## Build a Release version of the project
 	@echo ">>> Building Release PyClassifiers...";
 	@if [ -d ./$(f_release) ]; then rm -rf ./$(f_release); fi
 	@mkdir $(f_release); 
-	@cmake -S . -B $(f_release) -D CMAKE_BUILD_TYPE=Release
+	@cmake -S . -B $(f_release) -D CMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${VCPKG_ROOT}/scripts/buildsystems/vcpkg.cmake
 	@echo ">>> Done";	
 
 opt = ""

lib/Files/ArffFiles.cc

@@ -1,168 +0,0 @@
-#include "ArffFiles.h"
-#include <fstream>
-#include <sstream>
-#include <map>
-#include <iostream>
-
-ArffFiles::ArffFiles() = default;
-
-std::vector<std::string> ArffFiles::getLines() const
-{
-    return lines;
-}
-
-unsigned long int ArffFiles::getSize() const
-{
-    return lines.size();
-}
-
-std::vector<std::pair<std::string, std::string>> ArffFiles::getAttributes() const
-{
-    return attributes;
-}
-
-std::string ArffFiles::getClassName() const
-{
-    return className;
-}
-
-std::string ArffFiles::getClassType() const
-{
-    return classType;
-}
-
-std::vector<std::vector<float>>& ArffFiles::getX()
-{
-    return X;
-}
-
-std::vector<int>& ArffFiles::getY()
-{
-    return y;
-}
-
-void ArffFiles::loadCommon(std::string fileName)
-{
-    std::ifstream file(fileName);
-    if (!file.is_open()) {
-        throw std::invalid_argument("Unable to open file");
-    }
-    std::string line;
-    std::string keyword;
-    std::string attribute;
-    std::string type;
-    std::string type_w;
-    while (getline(file, line)) {
-        if (line.empty() || line[0] == '%' || line == "\r" || line == " ") {
-            continue;
-        }
-        if (line.find("@attribute") != std::string::npos || line.find("@ATTRIBUTE") != std::string::npos) {
-            std::stringstream ss(line);
-            ss >> keyword >> attribute;
-            type = "";
-            while (ss >> type_w)
-                type += type_w + " ";
-            attributes.emplace_back(trim(attribute), trim(type));
-            continue;
-        }
-        if (line[0] == '@') {
-            continue;
-        }
-        lines.push_back(line);
-    }
-    file.close();
-    if (attributes.empty())
-        throw std::invalid_argument("No attributes found");
-}
-
-void ArffFiles::load(const std::string& fileName, bool classLast)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    if (classLast) {
-        className = std::get<0>(attributes.back());
-        classType = std::get<1>(attributes.back());
-        attributes.pop_back();
-        labelIndex = static_cast<int>(attributes.size());
-    } else {
-        className = std::get<0>(attributes.front());
-        classType = std::get<1>(attributes.front());
-        attributes.erase(attributes.begin());
-        labelIndex = 0;
-    }
-    generateDataset(labelIndex);
-}
-void ArffFiles::load(const std::string& fileName, const std::string& name)
-{
-    int labelIndex;
-    loadCommon(fileName);
-    bool found = false;
-    for (int i = 0; i < attributes.size(); ++i) {
-        if (attributes[i].first == name) {
-            className = std::get<0>(attributes[i]);
-            classType = std::get<1>(attributes[i]);
-            attributes.erase(attributes.begin() + i);
-            labelIndex = i;
-            found = true;
-            break;
-        }
-    }
-    if (!found) {
-        throw std::invalid_argument("Class name not found");
-    }
-    generateDataset(labelIndex);
-}
-
-void ArffFiles::generateDataset(int labelIndex)
-{
-    X = std::vector<std::vector<float>>(attributes.size(), std::vector<float>(lines.size()));
-    auto yy = std::vector<std::string>(lines.size(), "");
-    auto removeLines = std::vector<int>(); // Lines with missing values
-    for (size_t i = 0; i < lines.size(); i++) {
-        std::stringstream ss(lines[i]);
-        std::string value;
-        int pos = 0;
-        int xIndex = 0;
-        while (getline(ss, value, ',')) {
-            if (pos++ == labelIndex) {
-                yy[i] = value;
-            } else {
-                if (value == "?") {
-                    X[xIndex++][i] = -1;
-                    removeLines.push_back(i);
-                } else
-                    X[xIndex++][i] = stof(value);
-            }
-        }
-    }
-    for (auto i : removeLines) {
-        yy.erase(yy.begin() + i);
-        for (auto& x : X) {
-            x.erase(x.begin() + i);
-        }
-    }
-    y = factorize(yy);
-}
-
-std::string ArffFiles::trim(const std::string& source)
-{
-    std::string s(source);
-    s.erase(0, s.find_first_not_of(" '\n\r\t"));
-    s.erase(s.find_last_not_of(" '\n\r\t") + 1);
-    return s;
-}
-
-std::vector<int> ArffFiles::factorize(const std::vector<std::string>& labels_t)
-{
-    std::vector<int> yy;
-    yy.reserve(labels_t.size());
-    std::map<std::string, int> labelMap;
-    int i = 0;
-    for (const std::string& label : labels_t) {
-        if (labelMap.find(label) == labelMap.end()) {
-            labelMap[label] = i++;
-        }
-        yy.push_back(labelMap[label]);
-    }
-    return yy;
-}

lib/Files/ArffFiles.h

@@ -1,32 +0,0 @@
-#ifndef ARFFFILES_H
-#define ARFFFILES_H
-
-#include <string>
-#include <vector>
-
-class ArffFiles {
-private:
-    std::vector<std::string> lines;
-    std::vector<std::pair<std::string, std::string>> attributes;
-    std::string className;
-    std::string classType;
-    std::vector<std::vector<float>> X;
-    std::vector<int> y;
-    void generateDataset(int);
-    void loadCommon(std::string);
-public:
-    ArffFiles();
-    void load(const std::string&, bool = true);
-    void load(const std::string&, const std::string&);
-    std::vector<std::string> getLines() const;
-    unsigned long int getSize() const;
-    std::string getClassName() const;
-    std::string getClassType() const;
-    static std::string trim(const std::string&);
-    std::vector<std::vector<float>>& getX();
-    std::vector<int>& getY();
-    std::vector<std::pair<std::string, std::string>> getAttributes() const;
-    static std::vector<int> factorize(const std::vector<std::string>& labels_t);
-};
-
-#endif

lib/Files/CMakeLists.txt

@@ -1 +0,0 @@
-add_library(ArffFiles ArffFiles.cc)

pyclfs/AdaBoostPy.cc

@@ -0,0 +1,20 @@
+#include "AdaBoostPy.h"
+
+namespace pywrap {
+    AdaBoostPy::AdaBoostPy() : PyClassifier("sklearn.ensemble", "AdaBoostClassifier", true)
+    {
+        validHyperparameters = { "n_estimators", "n_jobs", "random_state" };
+    }
+    int AdaBoostPy::getNumberOfEdges() const
+    {
+        return callMethodSumOfItems("get_n_leaves");
+    }
+    int AdaBoostPy::getNumberOfStates() const
+    {
+        return callMethodSumOfItems("get_depth");
+    }
+    int AdaBoostPy::getNumberOfNodes() const
+    {
+        return callMethodSumOfItems("node_count");
+    }
+} /* namespace pywrap */

pyclfs/AdaBoostPy.h

@@ -0,0 +1,15 @@
+#ifndef ADABOOSTPY_H
+#define ADABOOSTPY_H
+#include "PyClassifier.h"
+
+namespace pywrap {
+    class AdaBoostPy : public PyClassifier {
+    public:
+        AdaBoostPy();
+        ~AdaBoostPy() = default;
+        int getNumberOfEdges() const override;
+        int getNumberOfStates() const override;
+        int getNumberOfNodes() const override;
+    };
+} /* namespace pywrap */
+#endif /* ADABOOST_H */

pyclfs/CMakeLists.txt

@@ -4,5 +4,5 @@ include_directories(
     ${PyClassifiers_SOURCE_DIR}/lib/json/include
     ${Bayesnet_INCLUDE_DIRS}
 )
-add_library(PyClassifiers ODTE.cc STree.cc SVC.cc RandomForest.cc XGBoost.cc PyClassifier.cc PyWrap.cc)
+add_library(PyClassifiers ODTE.cc STree.cc SVC.cc RandomForest.cc XGBoost.cc AdaBoostPy.cc PyClassifier.cc PyWrap.cc)
-target_link_libraries(PyClassifiers ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy)
+target_link_libraries(PyClassifiers nlohmann_json::nlohmann_json ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy)

tests/CMakeLists.txt

@@ -2,9 +2,6 @@ if(ENABLE_TESTING)
     set(TEST_PYCLASSIFIERS "unit_tests_pyclassifiers")
     include_directories(
         ${PyClassifiers_SOURCE_DIR}
-        ${PyClassifiers_SOURCE_DIR}/lib/Files
-        ${PyClassifiers_SOURCE_DIR}/lib/mdlp/src
-        ${PyClassifiers_SOURCE_DIR}/lib/json/include
         ${Python3_INCLUDE_DIRS}
         ${TORCH_INCLUDE_DIRS}
         ${CMAKE_BINARY_DIR}/configured_files/include
@@ -13,5 +10,5 @@ if(ENABLE_TESTING)
     file(GLOB_RECURSE PyClassifiers_SOURCES "${PyClassifiers_SOURCE_DIR}/pyclfs/*.cc")
     set(TEST_SOURCES_PYCLASSIFIERS TestPythonClassifiers.cc TestUtils.cc ${PyClassifiers_SOURCES})
     add_executable(${TEST_PYCLASSIFIERS} ${TEST_SOURCES_PYCLASSIFIERS})
-    target_link_libraries(${TEST_PYCLASSIFIERS} PUBLIC "${TORCH_LIBRARIES}" ${Python3_LIBRARIES} ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy ArffFiles fimdlp Catch2::Catch2WithMain)
+    target_link_libraries(${TEST_PYCLASSIFIERS} PUBLIC "${TORCH_LIBRARIES}" ${Python3_LIBRARIES} ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy fimdlp Catch2::Catch2WithMain)
 endif(ENABLE_TESTING)

tests/TestPythonClassifiers.cc

@@ -10,14 +10,16 @@
 #include "pyclfs/SVC.h"
 #include "pyclfs/RandomForest.h"
 #include "pyclfs/XGBoost.h"
+#include "pyclfs/AdaBoostPy.h"
 #include "pyclfs/ODTE.h"
 #include "TestUtils.h"
+#include <iostream>
 
 TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
 {
     map <pair<std::string, std::string>, float> scores = {
         // Diabetes
-        {{"diabetes", "STree"}, 0.81641}, {{"diabetes", "ODTE"}, 0.854166687}, {{"diabetes", "SVC"}, 0.76823}, {{"diabetes", "RandomForest"}, 1.0},
+        {{"diabetes", "STree"}, 0.81641}, {{"diabetes", "ODTE"}, 0.856770813f}, {{"diabetes", "SVC"}, 0.76823}, {{"diabetes", "RandomForest"}, 1.0},
         // Ecoli
         {{"ecoli", "STree"}, 0.8125}, {{"ecoli", "ODTE"}, 0.875}, {{"ecoli", "SVC"}, 0.89583}, {{"ecoli", "RandomForest"}, 1.0},
         // Glass
@@ -35,8 +37,8 @@ TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
     map<std::string, std::string> versions = {
         {"ODTE", "1.0.0-1"},
         {"STree", "1.4.0"},
-        {"SVC", "1.5.1"},
+        {"SVC", "1.5.2"},
-        {"RandomForest", "1.5.1"}
+        {"RandomForest", "1.5.2"}
     };
     auto clf = models[name];
 
@@ -58,6 +60,15 @@ TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
         REQUIRE(clf->getVersion() == versions[name]);
     }
 }
+TEST_CASE("AdaBoostClassifier", "[PyClassifiers]")
+{
+    auto raw = RawDatasets("iris", false);
+    auto clf = pywrap::AdaBoostPy();
+    clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
+    clf.setHyperparameters(nlohmann::json::parse("{ \"n_estimators\": 100 }"));
+    auto score = clf.score(raw.Xt, raw.yt);
+    REQUIRE(score == Catch::Approx(0.9599999f).epsilon(raw.epsilon));
+}
 TEST_CASE("Classifiers features", "[PyClassifiers]")
 {
     auto raw = RawDatasets("iris", false);

tests/TestUtils.h

@@ -5,8 +5,8 @@
 #include <vector>
 #include <map>
 #include <tuple>
-#include "ArffFiles.h"
+#include "ArffFiles/ArffFiles.hpp"
-#include "CPPFImdlp.h"
+#include "fimdlp/CPPFImdlp.h"
 
 bool file_exists(const std::string& name);
 std::pair<vector<mdlp::labels_t>, map<std::string, int>> discretize(std::vector<mdlp::samples_t>& X, mdlp::labels_t& y, std::vector<string> features);

vcpkg-configuration.json

@@ -0,0 +1,21 @@
+{
+  "default-registry": {
+    "kind": "git",
+    "baseline": "760bfd0c8d7c89ec640aec4df89418b7c2745605",
+    "repository": "https://github.com/microsoft/vcpkg"
+  },
+  "registries": [
+    {
+      "kind": "git",
+      "repository": "https://github.com/rmontanana/vcpkg-stash",
+      "baseline": "1ea69243c0e8b0de77c9d1dd6e1d7593ae7f3627",
+      "packages": [
+        "arff-files",
+        "bayesnet",
+        "fimdlp",
+        "folding",
+        "libtorch-bin"
+      ]
+    }
+  ]
+}

vcpkg.json

@@ -0,0 +1,47 @@
+  {
+    "name": "platform",
+    "version-string": "1.1.0",
+    "dependencies": [
+      "arff-files",
+      "nlohmann-json",
+      "fimdlp",
+      "libtorch-bin",
+      "folding",
+      "argparse",
+      "catch2"
+    ],
+    "overrides": [
+      {
+        "name": "arff-files",
+        "version": "1.1.0"
+      },
+      {
+        "name": "fimdlp",
+        "version": "2.0.1"
+      },
+      {
+        "name": "libtorch-bin",
+        "version": "2.7.0"
+      },
+      {
+        "name": "bayesnet",
+        "version": "1.1.1"
+      },
+      {
+        "name": "folding",
+        "version": "1.1.1"
+      },
+      {
+        "name": "argpase",
+        "version": "3.2"
+      },
+      {
+        "name": "catch2",
+        "version": "3.8.1"
+      },
+      {
+        "name": "nlohmann-json",
+        "version": "3.11.3"
+      }
+    ]
+  }