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Update tests to last version

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This commit is contained in:
Ricardo Montañana Gómez
2024-03-06 18:04:34 +01:00
parent c8826fc3b4
commit 101fb02da5
3 changed files with 8 additions and 2 deletions
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4
src/CMakeLists.txt
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@@ -2,10 +2,12 @@ include_directories(
${PyClassifiers_SOURCE_DIR}/lib/Files
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/lib/json/include
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/classifiers
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/bayesian_network
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/utils
${CMAKE_BINARY_DIR}/configured_files/include
${Python3_INCLUDE_DIRS}
${TORCH_INCLUDE_DIRS}
)
add_library(PyClassifiers SHARED ${PyClassifiers_SOURCES})
#target_link_libraries(PyClassifiers ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy xgboost::xgboost)
target_link_libraries(PyClassifiers BayesNet ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy)

3
tests/CMakeLists.txt
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@@ -6,6 +6,9 @@ if(ENABLE_TESTING)
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/lib/Files
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/lib/mdlp
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/classifiers
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/bayesian_network
${PyClassifiers_SOURCE_DIR}/lib/BayesNet/src/utils
${Python3_INCLUDE_DIRS}
${TORCH_INCLUDE_DIRS}
${CMAKE_BINARY_DIR}/configured_files/include

3
tests/TestPythonClassifiers.cc
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@@ -35,11 +35,12 @@ TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
};
SECTION("Test Python Classifier " + name + " score ")
{
for (auto file_name : { "glass", "iris", "ecoli", "diabetes" }) {
for (std::string file_name : { "glass", "iris", "ecoli", "diabetes" }) {
auto raw = RawDatasets(file_name, false);
auto clf = models[name];
clf->fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
auto score = clf->score(raw.Xt, raw.yt);
INFO("File: " + file_name + " Classifier: " + name + " Score: " + to_string(score));
REQUIRE(score == Catch::Approx(scores[{file_name, name}]).epsilon(raw.epsilon));
}
}