Base class of parameter tuning ============================== This class is used for inheritance only, So you shouldn't use this class directly. Tuning class of each ML estimator inherits this class. .. note:: If you want to see default arguments of each tuning class, See the following link - Classification * LGBMClassifierTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.lgbm_tuning.LGBMClassifierTuning * LogisticRegressionTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.logisticregression_tuning.LogisticRegressionTuning * RFClassifierTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.rf_tuning.RFClassifierTuning * SVMClassifierTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.svm_tuning.SVMClassifierTuning * XGBClassifierTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.xgb_tuning.XGBClassifierTuning - Regression * ElasticNetTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.elasticnet_tuning.ElasticNetTuning * LGBMRegressorTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.lgbm_tuning.LGBMRegressorTuning * RFRegressorTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.rf_tuning.RFRegressorTuning * SVMRegressorTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.svm_tuning.SVMRegressorTuning * XGBRegressorTuning https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.xgb_tuning.XGBRegressorTuning * LinearRegression - No optimization, only display https://c60evaporator.github.io/tune-easy/each_estimators.html#tune_easy.linearregression_tuning.LinearRegressionTuning tune\_easy.param\_tuning module ----------------------------------- .. automodule:: tune_easy.param_tuning :members: :show-inheritance: