Index A | C | D | E | G | H | I | K | L | M | N | O | P | Q | R | S | T | V | X | Y A auto_ml() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) C check_random_forest() (in module edamame.classifier.diagnose) (in module edamame.regressor.diagnose) check_xgboost() (in module edamame.classifier.diagnose) (in module edamame.regressor.diagnose) class_prediction_error() (edamame.classifier.diagnose.ClassifierDiagnose method) classifier_metrics() (in module edamame.classifier.classification) ClassifierDiagnose (class in edamame.classifier.diagnose) coefficients() (edamame.regressor.diagnose.RegressorDiagnose method) correlation_categorical() (in module edamame.eda.eda) correlation_pearson() (in module edamame.eda.eda) correlation_phik() (in module edamame.eda.eda) D dataframe_review() (in module edamame.eda.tools) describe_distribution() (in module edamame.eda.eda) dimensions() (in module edamame.eda.eda) drop_columns() (in module edamame.eda.eda) dummy_control() (in module edamame.eda.tools) E edamame.classifier.classification module edamame.classifier.diagnose module edamame.eda.eda module edamame.eda.tools module edamame.regressor.diagnose module edamame.regressor.regression module G gaussian_nb() (edamame.classifier.classification.TrainClassifier method) H handling_missing() (in module edamame.eda.eda) I identify_types() (in module edamame.eda.eda) inspection() (in module edamame.eda.eda) interaction() (in module edamame.eda.eda) K knn() (edamame.classifier.classification.TrainClassifier method) L lasso() (edamame.regressor.regression.TrainRegressor method) linear() (edamame.regressor.regression.TrainRegressor method) load_model() (in module edamame.eda.tools) logistic() (edamame.classifier.classification.TrainClassifier method) M missing() (in module edamame.eda.eda) model_metrics() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) modify_cardinality() (in module edamame.eda.eda) module edamame.classifier.classification edamame.classifier.diagnose edamame.eda.eda edamame.eda.tools edamame.regressor.diagnose edamame.regressor.regression N num_to_categorical() (in module edamame.eda.eda) num_variable_study() (in module edamame.eda.eda) O ohe() (in module edamame.eda.tools) P plot_categorical() (in module edamame.eda.eda) plot_numerical() (in module edamame.eda.eda) plot_roc_auc() (edamame.classifier.diagnose.ClassifierDiagnose method) prediction_error() (edamame.regressor.diagnose.RegressorDiagnose method) Q qqplot() (edamame.regressor.diagnose.RegressorDiagnose method) R random_forest() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) random_forest_fi() (edamame.classifier.diagnose.ClassifierDiagnose method) (edamame.regressor.diagnose.RegressorDiagnose method) regression_metrics() (in module edamame.regressor.regression) RegressorDiagnose (class in edamame.regressor.diagnose) residual_plot() (edamame.regressor.diagnose.RegressorDiagnose method) ridge() (edamame.regressor.regression.TrainRegressor method) S save_model() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) scaling() (in module edamame.eda.tools) setup() (in module edamame.eda.tools) split_and_scaling() (in module edamame.eda.eda) svm() (edamame.classifier.classification.TrainClassifier method) T TrainClassifier (class in edamame.classifier.classification) TrainRegressor (class in edamame.regressor.regression) tree() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) V view_cardinality() (in module edamame.eda.eda) X X_test (edamame.classifier.classification.TrainClassifier attribute) (edamame.classifier.diagnose.ClassifierDiagnose attribute) (edamame.regressor.diagnose.RegressorDiagnose attribute) (edamame.regressor.regression.TrainRegressor attribute) X_train (edamame.classifier.classification.TrainClassifier attribute) (edamame.classifier.diagnose.ClassifierDiagnose attribute) (edamame.regressor.diagnose.RegressorDiagnose attribute) (edamame.regressor.regression.TrainRegressor attribute) xgboost() (edamame.classifier.classification.TrainClassifier method) (edamame.regressor.regression.TrainRegressor method) xgboost_fi() (edamame.classifier.diagnose.ClassifierDiagnose method) (edamame.regressor.diagnose.RegressorDiagnose method) Y y_test (edamame.classifier.classification.TrainClassifier attribute) (edamame.classifier.diagnose.ClassifierDiagnose attribute) (edamame.regressor.diagnose.RegressorDiagnose attribute) (edamame.regressor.regression.TrainRegressor attribute) y_train (edamame.classifier.classification.TrainClassifier attribute) (edamame.classifier.diagnose.ClassifierDiagnose attribute) (edamame.regressor.diagnose.RegressorDiagnose attribute) (edamame.regressor.regression.TrainRegressor attribute)