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First functional BoostA2DE with its 1st test

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Ricardo Montañana Gómez 2024-05-16 16:33:33 +02:00
parent 80043d5181
commit 291ba0fb0e
Signed by: rmontanana
GPG Key ID: 46064262FD9A7ADE
1 changed files with 10 additions and 21 deletions
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31
tests/TestBoostA2DE.cc
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@ -16,27 +16,16 @@
TEST_CASE("Build basic model", "[BoostA2DE]")
{
auto raw = RawDatasets("diabetes", true);
bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
auto expected = std::map<std::pair<int, int>, double>{
{ { 0, 1 }, 0.0 },
{ { 0, 2 }, 0.287696 },
{ { 0, 3 }, 0.403749 },
{ { 1, 2 }, 1.17112 },
{ { 1, 3 }, 1.31852 },
{ { 2, 3 }, 0.210068 },
};
for (int i = 0; i < raw.features.size() - 1; ++i) {
for (int j = i + 1; j < raw.features.size(); ++j) {
double result = metrics.conditionalMutualInformation(raw.dataset.index({ i, "..." }), raw.dataset.index({ j, "..." }), raw.yt, raw.weights);
// REQUIRE(result == Catch::Approx(expected.at({ i, j })).epsilon(raw.epsilon));
auto clf = bayesnet::SPnDE({ i, j });
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
auto score = clf.score(raw.Xt, raw.yt);
std::cout << " i " << i << " j " << j << " cmi "
<< std::setw(8) << std::setprecision(6) << fixed << result
<< " score = " << score << std::endl;
}
}
auto clf = bayesnet::BoostA2DE();
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
REQUIRE(clf.getNumberOfNodes() == 342);
REQUIRE(clf.getNumberOfEdges() == 684);
REQUIRE(clf.getNotes().size() == 3);
REQUIRE(clf.getNotes()[0] == "Convergence threshold reached & 15 models eliminated");
REQUIRE(clf.getNotes()[1] == "Used pairs not used in train: 20");
REQUIRE(clf.getNotes()[2] == "Number of models: 38");
auto score = clf.score(raw.Xv, raw.yv);
REQUIRE(score == Catch::Approx(0.919271).epsilon(raw.epsilon));
}
// TEST_CASE("Feature_select IWSS", "[BoostAODE]")
// {