Update models versions
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@@ -13,10 +13,10 @@ if(ENABLE_TESTING)
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)
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set(TEST_SOURCES_PLATFORM
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TestUtils.cpp TestPlatform.cpp TestResult.cpp TestScores.cpp
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${Platform_SOURCE_DIR}/src/common/Datasets.cpp ${Platform_SOURCE_DIR}/src/common/Dataset.cpp
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${Platform_SOURCE_DIR}/src/common/Datasets.cpp ${Platform_SOURCE_DIR}/src/common/Dataset.cpp ${Platform_SOURCE_DIR}/src/common/Discretization.cpp
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${Platform_SOURCE_DIR}/src/main/Scores.cpp
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)
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add_executable(${TEST_PLATFORM} ${TEST_SOURCES_PLATFORM})
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target_link_libraries(${TEST_PLATFORM} PUBLIC "${TORCH_LIBRARIES}" ArffFiles mdlp Catch2::Catch2WithMain BayesNet)
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target_link_libraries(${TEST_PLATFORM} PUBLIC "${TORCH_LIBRARIES}" mdlp Catch2::Catch2WithMain BayesNet)
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add_test(NAME ${TEST_PLATFORM} COMMAND ${TEST_PLATFORM})
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endif(ENABLE_TESTING)
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@@ -7,6 +7,7 @@
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#include <string>
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#include "TestUtils.h"
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#include "folding.hpp"
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#include <ArffFiles.hpp>
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#include <bayesnet/classifiers/TAN.h>
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#include "config.h"
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@@ -14,7 +15,7 @@
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TEST_CASE("Test Platform version", "[Platform]")
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{
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std::string version = { platform_project_version.begin(), platform_project_version.end() };
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REQUIRE(version == "1.0.4");
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REQUIRE(version == "1.1.0");
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}
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TEST_CASE("Test Folding library version", "[Folding]")
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{
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@@ -24,10 +25,15 @@ TEST_CASE("Test Folding library version", "[Folding]")
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TEST_CASE("Test BayesNet version", "[BayesNet]")
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{
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std::string version = bayesnet::TAN().getVersion();
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REQUIRE(version == "1.0.5.1");
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REQUIRE(version == "1.0.6");
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}
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TEST_CASE("Test mdlp version", "[mdlp]")
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{
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std::string version = mdlp::CPPFImdlp::version();
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REQUIRE(version == "1.1.2");
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REQUIRE(version == "1.2.1");
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}
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TEST_CASE("Test Arff version", "[Arff]")
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{
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std::string version = ArffFiles().version();
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REQUIRE(version == "1.1.0");
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}
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@@ -13,13 +13,14 @@
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TEST_CASE("ZeroR comparison in reports", "[Report]")
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{
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auto dotEnv = platform::DotEnv(true);
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auto margin = 1e-2;
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std::string dataset = "liver-disorders";
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auto margin = 1e-4;
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std::string dataset_name = "liver-disorders";
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auto dt = platform::Datasets(false, platform::Paths::datasets());
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dt.loadDataset(dataset);
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std::vector<int> distribution = dt.getClassesCounts(dataset);
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double nSamples = dt.getNSamples(dataset);
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auto& dataset = dt.getDataset(dataset_name);
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dataset.load();
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std::vector<int> distribution = dataset.getClassesCounts();
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double nSamples = dataset.getNSamples();
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std::vector<int>::iterator maxValue = max_element(distribution.begin(), distribution.end());
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double mark = *maxValue / nSamples * (1 + margin);
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REQUIRE(mark == Catch::Approx(0.585507f).epsilon(1e-5));
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REQUIRE(mark == Catch::Approx(0.57976811f).epsilon(margin));
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}
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@@ -128,7 +128,7 @@ TEST_CASE("Confusion Matrix JSON", "[Scores]")
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REQUIRE(res_json_str["Car"][1] == 2);
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REQUIRE(res_json_str["Car"][2] == 3);
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}
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TEST_CASE("Classification Report", "[Scores]") -
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TEST_CASE("Classification Report", "[Scores]")
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{
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std::vector<int> y_test = { 0, 2, 2, 2, 2, 0, 1, 2, 0, 2 };
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std::vector<int> y_pred = { 0, 1, 2, 2, 1, 1, 1, 0, 0, 2 };
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@@ -5,7 +5,7 @@
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#include <vector>
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#include <map>
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#include <tuple>
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#include "ArffFiles.h"
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#include <ArffFiles.hpp>
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#include "CPPFImdlp.h"
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bool file_exists(const std::string& name);
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@@ -1,8 +1,8 @@
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diabetes,class, all
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ecoli,class, all
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glass,Type, all
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iris,class, all
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kdd_JapaneseVowels,speaker, [2,3,4,5,6,7,8,9,10,11,12,13]
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letter,class, all
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liver-disorders,selector, all
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mfeat-factors,class, all
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diabetes;class;all
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ecoli;class;all
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glass;Type,all
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iris;class;all
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kdd_JapaneseVowels;speaker;[2,3,4,5,6,7,8,9,10,11,12,13]
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letter;class;all
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liver-disorders;selector;all
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mfeat-factors;class;all
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