A collection of Python tools for model searching tasks and experiments in regression and classification problems.

• Tester: a class that helps conduct experiments for a given model, data and set of features.
• KFoldCrossValidator: a class that helps to conduct k-folds cross validation experiments for a given model, data and set of features.
• LOOCrossValidator: a class that helps to conduct LOOCV experiments for a given model, data and set of features.
• Explorer: a class used to explore sets of regressors with various settings using cross validation.
• RandomizedSearchCrossValidator: a class that helps to cross validate a model with different features and randomized search for best hyperparameters.
• GridSearchCrossValidator: a class that helps to cross validate a model with different features and grid search for best hyperparameters.