Add features used to selectKPairs
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@@ -141,7 +141,8 @@ TEST_CASE("Select K Pairs descending", "[Metrics]")
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{
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auto raw = RawDatasets("iris", true);
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bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
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auto results = metrics.SelectKPairs(raw.weights, false);
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std::vector<int> empty;
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auto results = metrics.SelectKPairs(raw.weights, empty, false);
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auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
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{ { 1, 3 }, 1.31852 },
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{ { 1, 2 }, 1.17112 },
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@@ -168,7 +169,8 @@ TEST_CASE("Select K Pairs ascending", "[Metrics]")
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{
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auto raw = RawDatasets("iris", true);
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bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
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auto results = metrics.SelectKPairs(raw.weights, true);
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std::vector<int> empty;
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auto results = metrics.SelectKPairs(raw.weights, empty, true);
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auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
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{ { 0, 1 }, 0.0 },
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{ { 2, 3 }, 0.210068 },
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@@ -190,4 +192,77 @@ TEST_CASE("Select K Pairs ascending", "[Metrics]")
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}
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REQUIRE(results.size() == 6);
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REQUIRE(scores.size() == 6);
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}
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TEST_CASE("Select K Pairs with features excluded", "[Metrics]")
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{
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auto raw = RawDatasets("iris", true);
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bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
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std::vector<int> excluded = { 0, 3 };
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auto results = metrics.SelectKPairs(raw.weights, excluded, true);
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auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
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{ { 1, 2 }, 1.17112 },
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};
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auto scores = metrics.getScoresKPairs();
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for (int i = 0; i < results.size(); ++i) {
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auto result = results[i];
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auto expect = expected[i];
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auto score = scores[i];
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REQUIRE(result.first == expect.first.first);
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REQUIRE(result.second == expect.first.second);
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REQUIRE(score.first.first == expect.first.first);
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REQUIRE(score.first.second == expect.first.second);
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REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
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}
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REQUIRE(results.size() == 1);
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REQUIRE(scores.size() == 1);
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}
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TEST_CASE("Select K Pairs with number of pairs descending", "[Metrics]")
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{
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auto raw = RawDatasets("iris", true);
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bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
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std::vector<int> empty;
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auto results = metrics.SelectKPairs(raw.weights, empty, false, 3);
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auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
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{ { 1, 3 }, 1.31852 },
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{ { 1, 2 }, 1.17112 },
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{ { 0, 3 }, 0.403749 }
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};
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auto scores = metrics.getScoresKPairs();
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REQUIRE(results.size() == 3);
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REQUIRE(scores.size() == 3);
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for (int i = 0; i < results.size(); ++i) {
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auto result = results[i];
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auto expect = expected[i];
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auto score = scores[i];
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REQUIRE(result.first == expect.first.first);
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REQUIRE(result.second == expect.first.second);
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REQUIRE(score.first.first == expect.first.first);
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REQUIRE(score.first.second == expect.first.second);
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REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
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}
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}
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TEST_CASE("Select K Pairs with number of pairs ascending", "[Metrics]")
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{
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auto raw = RawDatasets("iris", true);
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bayesnet::Metrics metrics(raw.dataset, raw.features, raw.className, raw.classNumStates);
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std::vector<int> empty;
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auto results = metrics.SelectKPairs(raw.weights, empty, true, 3);
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auto expected = std::vector<std::pair<std::pair<int, int>, double>>{
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{ { 0, 3 }, 0.403749 },
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{ { 1, 2 }, 1.17112 },
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{ { 1, 3 }, 1.31852 }
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};
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auto scores = metrics.getScoresKPairs();
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REQUIRE(results.size() == 3);
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REQUIRE(scores.size() == 3);
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for (int i = 0; i < results.size(); ++i) {
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auto result = results[i];
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auto expect = expected[i];
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auto score = scores[i];
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REQUIRE(result.first == expect.first.first);
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REQUIRE(result.second == expect.first.second);
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REQUIRE(score.first.first == expect.first.first);
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REQUIRE(score.first.second == expect.first.second);
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REQUIRE(score.second == Catch::Approx(expect.second).epsilon(raw.epsilon));
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}
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}
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