Add folder to b_best

README.md

@@ -2,6 +2,7 @@
 
 ![C++](https://img.shields.io/badge/c++-%2300599C.svg?style=flat&logo=c%2B%2B&logoColor=white)
 [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](<https://opensource.org/licenses/MIT>)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/rmontanana/Platform)
 ![Gitea Last Commit](https://img.shields.io/gitea/last-commit/rmontanana/platform?gitea_url=https://gitea.rmontanana.es&logo=gitea)
 
 Platform to run Bayesian Networks and Machine Learning Classifiers experiments.

src/commands/b_best.cpp

@@ -9,9 +9,8 @@
 
 void manageArguments(argparse::ArgumentParser& program)
 {
-    program.add_argument("-m", "--model")
+    program.add_argument("-m", "--model").help("Model to use or any").default_value("any");
-        .help("Model to use or any")
+    program.add_argument("--folder").help("Results folder to use").default_value(platform::Paths::results());
-        .default_value("any");
     program.add_argument("-d", "--dataset").default_value("any").help("Filter results of the selected model) (any for all datasets)");
     program.add_argument("-s", "--score").default_value("accuracy").help("Filter results of the score name supplied");
     program.add_argument("--friedman").help("Friedman test").default_value(false).implicit_value(true);
@@ -38,12 +37,13 @@ int main(int argc, char** argv)
 {
     argparse::ArgumentParser program("b_best", { platform_project_version.begin(), platform_project_version.end() });
     manageArguments(program);
-    std::string model, dataset, score;
+    std::string model, dataset, score, folder;
     bool build, report, friedman, excel, tex, index;
     double level;
     try {
         program.parse_args(argc, argv);
         model = program.get<std::string>("model");
+        folder = program.get<std::string>("folder");
         dataset = program.get<std::string>("dataset");
         score = program.get<std::string>("score");
         friedman = program.get<bool>("friedman");
@@ -66,7 +66,7 @@ int main(int argc, char** argv)
         exit(1);
     }
     // Generate report
-    auto results = platform::BestResults(platform::Paths::results(), score, model, dataset, friedman, level);
+    auto results = platform::BestResults(folder, score, model, dataset, friedman, level);
     if (model == "any") {
         results.buildAll();
         results.reportAll(excel, tex, index);

src/experimental_clfs/ExpClf.h

@@ -43,6 +43,7 @@ namespace platform {
         void add_active_parents(const std::vector<int>& active_parents);
         void add_active_parent(int parent);
         void remove_last_parent();
+        void setHyperparameters(const nlohmann::json& hyperparameters_) override {};
     protected:
         bool debug = false;
         Xaode aode_;

src/main/Experiment.cpp

@@ -270,7 +270,6 @@ namespace platform {
                 //
                 if (!quiet)
                     showProgress(nfold + 1, getColor(clf->getStatus()), "c");
-                std::cout << "Discretized: " << discretized << " " << score_train_value << std::endl;
                 test_timer.start();
                 // auto y_predict = clf->predict(X_test);
                 auto y_proba_test = clf->predict_proba(X_test);