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Add test

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Ricardo Montañana Gómez
2025-03-12 16:27:19 +01:00
parent 3bdb14bd65
commit 7876d1a370
1 changed files with 61 additions and 68 deletions
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tests/TestXBAODE.cc
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@@ -4,87 +4,80 @@
// SPDX-License-Identifier: MIT
// ***************************************************************
#include "TestUtils.h"
#include "bayesnet/ensembles/XBAODE.h"
#include <catch2/catch_approx.hpp>
#include <catch2/catch_test_macros.hpp>
#include <catch2/generators/catch_generators.hpp>
#include <catch2/matchers/catch_matchers.hpp>
#include "TestUtils.h"
#include "bayesnet/ensembles/XBAODE.h"
TEST_CASE("Normal test", "[XBAODE]") {
auto raw = RawDatasets("iris", true);
auto clf = bayesnet::XBAODE();
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states,
raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 20);
REQUIRE(clf.getNumberOfEdges() == 36);
REQUIRE(clf.getNotes().size() == 1);
REQUIRE(clf.getVersion() == "0.9.7");
REQUIRE(clf.getNotes()[0] == "Number of models: 4");
REQUIRE(clf.getNumberOfStates() == 256);
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.933333));
auto raw = RawDatasets("iris", true);
auto clf = bayesnet::XBAODE();
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 20);
REQUIRE(clf.getNumberOfEdges() == 36);
REQUIRE(clf.getNotes().size() == 1);
REQUIRE(clf.getVersion() == "0.9.7");
REQUIRE(clf.getNotes()[0] == "Number of models: 4");
REQUIRE(clf.getNumberOfStates() == 256);
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.933333));
}
TEST_CASE("Feature_select CFS", "[XBAODE]") {
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "CFS"}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states,
raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] ==
"Used features in initialization: 6 of 9 with CFS");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.720930219));
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "CFS"}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 9 with CFS");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.720930219));
}
TEST_CASE("Feature_select IWSS", "[XBAODE]") {
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "IWSS"}, {"threshold", 0.5}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states,
raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] ==
"Used features in initialization: 4 of 9 with IWSS");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.697674394));
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "IWSS"}, {"threshold", 0.5}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] == "Used features in initialization: 4 of 9 with IWSS");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.697674394));
}
TEST_CASE("Feature_select FCBF", "[XBAODE]") {
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "FCBF"}, {"threshold", 1e-7}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states,
raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] ==
"Used features in initialization: 4 of 9 with FCBF");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.720930219));
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({{"select_features", "FCBF"}, {"threshold", 1e-7}});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 90);
REQUIRE(clf.getNumberOfEdges() == 171);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] == "Used features in initialization: 4 of 9 with FCBF");
REQUIRE(clf.getNotes()[1] == "Number of models: 9");
REQUIRE(clf.score(raw.X_test, raw.y_test) == Catch::Approx(0.720930219));
}
TEST_CASE("Test used features in train note and score", "[XBAODE]") {
auto raw = RawDatasets("diabetes", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({
{"order", "asc"},
{"convergence", true},
{"select_features", "CFS"},
});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.getNumberOfNodes() == 72);
REQUIRE(clf.getNumberOfEdges() == 136);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 8 with CFS");
REQUIRE(clf.getNotes()[1] == "Number of models: 8");
auto score = clf.score(raw.Xv, raw.yv);
auto scoret = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(0.819010437f).epsilon(raw.epsilon));
REQUIRE(scoret == Catch::Approx(0.819010437f).epsilon(raw.epsilon));
}
TEST_CASE("Test used features in train note and score", "[XBAODE]")
{
auto raw = RawDatasets("diabetes", true);
auto clf = bayesnet::XBAODE();
clf.setHyperparameters({
{"order", "asc"},
{"convergence", true},
{"select_features","CFS"},
});
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states,
raw.smoothing); REQUIRE(clf.getNumberOfNodes() == 72);
REQUIRE(clf.getNumberOfEdges() == 136);
REQUIRE(clf.getNotes().size() == 2);
REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 8 with CFS");
REQUIRE(clf.getNotes()[1] == "Number of models: 8");
auto score = clf.score(raw.Xv, raw.yv); auto scoret = clf.score(raw.Xt, raw.yt);
REQUIRE(score == Catch::Approx(0.819010437f).epsilon(raw.epsilon));
REQUIRE(scoret == Catch::Approx(0.819010437f).epsilon(raw.epsilon));
}
// TEST_CASE("Voting vs proba", "[XBAODE]")
// {
// auto raw = RawDatasets("iris", true);