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Set smoothing as fit parameter

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Ricardo Montañana Gómez
2024-06-11 11:40:45 +02:00
parent 27a3e5a5e0
commit b34869cc61
30 changed files with 168 additions and 178 deletions
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8
tests/TestA2DE.cc
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@@ -16,7 +16,7 @@ TEST_CASE("Fit and Score", "[A2DE]")
{
auto raw = RawDatasets("glass", true);
auto clf = bayesnet::A2DE();
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.score(raw.Xv, raw.yv) == Catch::Approx(0.831776).epsilon(raw.epsilon));
REQUIRE(clf.getNumberOfNodes() == 360);
REQUIRE(clf.getNumberOfEdges() == 756);
@@ -30,18 +30,18 @@ TEST_CASE("Test score with predict_voting", "[A2DE]")
{"predict_voting", true},
};
clf.setHyperparameters(hyperparameters);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.score(raw.Xv, raw.yv) == Catch::Approx(0.82243).epsilon(raw.epsilon));
hyperparameters["predict_voting"] = false;
clf.setHyperparameters(hyperparameters);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
REQUIRE(clf.score(raw.Xv, raw.yv) == Catch::Approx(0.83178).epsilon(raw.epsilon));
}
TEST_CASE("Test graph", "[A2DE]")
{
auto raw = RawDatasets("iris", true);
auto clf = bayesnet::A2DE();
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states, raw.smoothing);
auto graph = clf.graph();
REQUIRE(graph.size() == 78);
REQUIRE(graph[0] == "digraph BayesNet {\nlabel=<BayesNet A2DE_0>\nfontsize=30\nfontcolor=blue\nlabelloc=t\nlayout=circo\n");