Fix b_main order of datasets if --datasets parameter used
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@@ -33,7 +33,6 @@ void assignModel(argparse::ArgumentParser& parser)
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}
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}
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);
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);
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}
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}
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void add_search_args(argparse::ArgumentParser& program)
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void add_search_args(argparse::ArgumentParser& program)
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{
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{
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auto env = platform::DotEnv();
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auto env = platform::DotEnv();
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@@ -43,6 +43,22 @@ namespace platform {
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}
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}
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}
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}
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}
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}
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Experiment& Experiment::setSmoothSrategy(const std::string& smooth_strategy)
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{
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this->smooth_strategy = smooth_strategy;
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this->result.setSmoothStrategy(smooth_strategy);
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if (smooth_strategy == "ORIGINAL")
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smooth_type = bayesnet::Smoothing_t::ORIGINAL;
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else if (smooth_strategy == "LAPLACE")
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smooth_type = bayesnet::Smoothing_t::LAPLACE;
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else if (smooth_strategy == "CESTNIK")
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smooth_type = bayesnet::Smoothing_t::CESTNIK;
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else {
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std::cerr << "Experiment: Unknown smoothing strategy: " << smooth_strategy << std::endl;
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exit(1);
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}
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return *this;
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}
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void Experiment::go()
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void Experiment::go()
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{
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{
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for (auto fileName : filesToTest) {
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for (auto fileName : filesToTest) {
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@@ -64,6 +80,8 @@ namespace platform {
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std::cout << " --- " << string(max_name, '-') << " ----- ----- ---- " << string(4 + 3 * nfolds, '-') << " ----------" << Colors::RESET() << std::endl;
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std::cout << " --- " << string(max_name, '-') << " ----- ----- ---- " << string(4 + 3 * nfolds, '-') << " ----------" << Colors::RESET() << std::endl;
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}
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}
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int num = 0;
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int num = 0;
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// Sort files to test to have a consistent order even if --datasets is used
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std::stable_sort(filesToTest.begin(), filesToTest.end());
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for (auto fileName : filesToTest) {
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for (auto fileName : filesToTest) {
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if (!quiet)
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if (!quiet)
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std::cout << " " << setw(3) << right << num++ << " " << setw(max_name) << left << fileName << right << flush;
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std::cout << " " << setw(3) << right << num++ << " " << setw(max_name) << left << fileName << right << flush;
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@@ -25,22 +25,7 @@ namespace platform {
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{
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{
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this->discretization_algo = discretization_algo; this->result.setDiscretizationAlgorithm(discretization_algo); return *this;
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this->discretization_algo = discretization_algo; this->result.setDiscretizationAlgorithm(discretization_algo); return *this;
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}
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}
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Experiment& setSmoothSrategy(const std::string& smooth_strategy)
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Experiment& setSmoothSrategy(const std::string& smooth_strategy);
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{
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this->smooth_strategy = smooth_strategy;
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this->result.setSmoothStrategy(smooth_strategy);
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if (smooth_strategy == "ORIGINAL")
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smooth_type = bayesnet::Smoothing_t::ORIGINAL;
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else if (smooth_strategy == "LAPLACE")
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smooth_type = bayesnet::Smoothing_t::LAPLACE;
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else if (smooth_strategy == "CESTNIK")
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smooth_type = bayesnet::Smoothing_t::CESTNIK;
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else {
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std::cerr << "Experiment: Unknown smoothing strategy: " << smooth_strategy << std::endl;
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exit(1);
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}
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return *this;
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}
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Experiment& setLanguageVersion(const std::string& language_version) { this->result.setLanguageVersion(language_version); return *this; }
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Experiment& setLanguageVersion(const std::string& language_version) { this->result.setLanguageVersion(language_version); return *this; }
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Experiment& setDiscretized(bool discretized) { this->discretized = discretized; result.setDiscretized(discretized); return *this; }
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Experiment& setDiscretized(bool discretized) { this->discretized = discretized; result.setDiscretized(discretized); return *this; }
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Experiment& setStratified(bool stratified) { this->stratified = stratified; result.setStratified(stratified); return *this; }
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Experiment& setStratified(bool stratified) { this->stratified = stratified; result.setStratified(stratified); return *this; }
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