Index _ | A | B | C | D | E | F | G | I | L | M | N | O | P | R | S | T | U | V | X | Y _ __class_getitem__() (slickml.base.Metrics class method) __dir__() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) __format__() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) __getstate__() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) __hash__() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) __init_subclass__() (slickml.base.BaseXGBoostEstimator class method) (slickml.base.Metrics class method) (slickml.classification.GLMNetCVClassifier class method) (slickml.classification.XGBoostClassifier class method) (slickml.classification.XGBoostCVClassifier class method) (slickml.optimization.XGBoostBayesianOptimizer class method) (slickml.optimization.XGBoostHyperOptimizer class method) (slickml.regression.GLMNetCVRegressor class method) (slickml.regression.XGBoostCVRegressor class method) (slickml.regression.XGBoostRegressor class method) (slickml.selection.XGBoostFeatureSelector class method) __post_init__() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.metrics.BinaryClassificationMetrics method) (slickml.metrics.RegressionMetrics method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) __reduce_ex__() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) __repr__() (slickml.base.BaseXGBoostEstimator method) (slickml.base.ExtendedEnum method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) (slickml.utils.Colors method) __setstate__() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) __sklearn_clone__() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) __slots__ (slickml.base.BaseXGBoostEstimator attribute) (slickml.base.Metrics attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) __str__() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) __version__ (in module slickml) A accuracy_ (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) acquisition_criterion (slickml.optimization.XGBoostBayesianOptimizer attribute) add_noisy_features() (in module slickml.utils) alpha (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) array_to_df() (in module slickml.utils) auc_pr_ (slickml.metrics.BinaryClassificationMetrics attribute) auc_rec_ (slickml.metrics.RegressionMetrics attribute) auc_roc_ (slickml.metrics.BinaryClassificationMetrics attribute) average_method (slickml.metrics.BinaryClassificationMetrics attribute) average_methods_ (slickml.metrics.BinaryClassificationMetrics attribute) average_precision_ (slickml.metrics.BinaryClassificationMetrics attribute) B B_Black (slickml.utils.Colors attribute) B_Blue (slickml.utils.Colors attribute) B_Cyan (slickml.utils.Colors attribute) B_DarkGray (slickml.utils.Colors attribute) B_Default (slickml.utils.Colors attribute) B_Green (slickml.utils.Colors attribute) B_LightBlue (slickml.utils.Colors attribute) B_LightCyan (slickml.utils.Colors attribute) B_LightGray (slickml.utils.Colors attribute) B_LightGreen (slickml.utils.Colors attribute) B_LightMagenta (slickml.utils.Colors attribute) B_LightRed (slickml.utils.Colors attribute) B_LightYellow (slickml.utils.Colors attribute) B_Magenta (slickml.utils.Colors attribute) B_Red (slickml.utils.Colors attribute) B_White (slickml.utils.Colors attribute) B_Yellow (slickml.utils.Colors attribute) balanced_accuracy_ (slickml.metrics.BinaryClassificationMetrics attribute) BaseXGBoostEstimator (class in slickml.base) best_params_ (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) best_results_ (slickml.optimization.XGBoostBayesianOptimizer attribute) BinaryClassificationMetrics (class in slickml.metrics) BLUE (slickml.utils.Colors attribute) BOLD (slickml.utils.Colors attribute) C callbacks (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) check_var() (in module slickml.utils) cli() (in module slickml.cli) coeff_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) Colors (class in slickml.utils) cut_point (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) cv_results_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) cv_y_ratio_ (slickml.metrics.RegressionMetrics attribute) CYAN (slickml.utils.Colors attribute) D DARKCYAN (slickml.utils.Colors attribute) deprecated() (in module slickml.utils) deviation_ (slickml.metrics.RegressionMetrics attribute) df_to_csr() (in module slickml.utils) display_df (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) dtest_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) dtrain_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) E early_stopping_rounds (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) END (slickml.utils.Colors attribute) ev_ (slickml.metrics.RegressionMetrics attribute) ExtendedEnum (class in slickml.base) F f05_ (slickml.metrics.BinaryClassificationMetrics attribute) f1_ (slickml.metrics.BinaryClassificationMetrics attribute) f2_ (slickml.metrics.BinaryClassificationMetrics attribute) F_Black (slickml.utils.Colors attribute) F_Blue (slickml.utils.Colors attribute) F_Cyan (slickml.utils.Colors attribute) F_DarkGray (slickml.utils.Colors attribute) F_Default (slickml.utils.Colors attribute) F_Green (slickml.utils.Colors attribute) F_LightBlue (slickml.utils.Colors attribute) F_LightCyan (slickml.utils.Colors attribute) F_LightGray (slickml.utils.Colors attribute) F_LightGreen (slickml.utils.Colors attribute) F_LightMagenta (slickml.utils.Colors attribute) F_LightRed (slickml.utils.Colors attribute) F_LightYellow (slickml.utils.Colors attribute) F_Magenta (slickml.utils.Colors attribute) F_Red (slickml.utils.Colors attribute) F_White (slickml.utils.Colors attribute) F_Yellow (slickml.utils.Colors attribute) feature_frequency_ (slickml.selection.XGBoostFeatureSelector attribute) feature_importance_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) fit() (slickml.base.BaseXGBoostEstimator method), [1] (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.optimization.XGBoostBayesianOptimizer method), [1] (slickml.optimization.XGBoostHyperOptimizer method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] fit_intercept (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) fn_ (slickml.metrics.BinaryClassificationMetrics attribute) fp_ (slickml.metrics.BinaryClassificationMetrics attribute) fpr_list_ (slickml.metrics.BinaryClassificationMetrics attribute) G get_best_params() (slickml.optimization.XGBoostBayesianOptimizer method), [1] (slickml.optimization.XGBoostHyperOptimizer method), [1] get_best_results() (slickml.optimization.XGBoostBayesianOptimizer method), [1] get_coeffs() (slickml.classification.GLMNetCVClassifier method) (slickml.regression.GLMNetCVRegressor method) get_cv_results() (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] get_default_params() (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] get_feature_frequency() (slickml.selection.XGBoostFeatureSelector method), [1] get_feature_importance() (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] get_intercept() (slickml.classification.GLMNetCVClassifier method) (slickml.regression.GLMNetCVRegressor method) get_metadata_routing() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) get_metrics() (slickml.base.Metrics method) (slickml.metrics.BinaryClassificationMetrics method), [1] (slickml.metrics.RegressionMetrics method), [1] get_optimizer() (slickml.optimization.XGBoostBayesianOptimizer method), [1] get_params() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] get_params_bounds() (slickml.optimization.XGBoostBayesianOptimizer method), [1] (slickml.optimization.XGBoostHyperOptimizer method), [1] get_results() (slickml.classification.GLMNetCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method), [1] (slickml.optimization.XGBoostHyperOptimizer method), [1] (slickml.regression.GLMNetCVRegressor method) get_shap_explainer() (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] get_trials() (slickml.optimization.XGBoostHyperOptimizer method), [1] GLMNetCVClassifier (class in slickml.classification) GLMNetCVRegressor (class in slickml.regression) GREEN (slickml.utils.Colors attribute) I importance_type (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) intercept_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) L lambda_path (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) M mae_ (slickml.metrics.RegressionMetrics attribute) mape_ (slickml.metrics.RegressionMetrics attribute) max_features (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) max_iter (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) mean_y_ratio_ (slickml.metrics.RegressionMetrics attribute) memory_use_csr() (in module slickml.utils) metric (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) Metrics (class in slickml.base) metrics (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) metrics_df_ (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) metrics_dict_ (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) min_lambda_ratio (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) model_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) module slickml slickml.base slickml.beta slickml.classification slickml.cli slickml.metrics slickml.optimization slickml.regression slickml.selection slickml.utils slickml.visualization mse_ (slickml.metrics.RegressionMetrics attribute) msle_ (slickml.metrics.RegressionMetrics attribute) multioutput (slickml.metrics.RegressionMetrics attribute) N n_init_iter (slickml.optimization.XGBoostBayesianOptimizer attribute) n_iter (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.selection.XGBoostFeatureSelector attribute) n_lambda (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) n_splits (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) name() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) names() (slickml.base.ExtendedEnum class method) (slickml.base.ExtendedEnum method) (slickml.utils.Colors class method) (slickml.utils.Colors method) nth_noise_threshold (slickml.selection.XGBoostFeatureSelector attribute) num_boost_round (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) O objective (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) optimizer_ (slickml.optimization.XGBoostBayesianOptimizer attribute) P params (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) params_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) params_bounds (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) plot() (slickml.base.Metrics method) (slickml.metrics.BinaryClassificationMetrics method), [1] (slickml.metrics.RegressionMetrics method), [1] plot_binary_classification_metrics() (in module slickml.visualization) plot_coeff_path() (slickml.classification.GLMNetCVClassifier method) (slickml.regression.GLMNetCVRegressor method) plot_cv_results() (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.selection.XGBoostFeatureSelector method), [1] plot_feature_importance() (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) plot_frequency() (slickml.selection.XGBoostFeatureSelector method), [1] plot_glmnet_coeff_path() (in module slickml.visualization) plot_glmnet_cv_results() (in module slickml.visualization) plot_regression_metrics() (in module slickml.visualization) plot_shap_summary() (in module slickml.visualization) (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] plot_shap_waterfall() (in module slickml.visualization) (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] plot_xfs_cv_results() (in module slickml.visualization) plot_xfs_feature_frequency() (in module slickml.visualization) plot_xgb_cv_results() (in module slickml.visualization) plot_xgb_feature_importance() (in module slickml.visualization) plotting_cv_ (slickml.selection.XGBoostFeatureSelector attribute) plotting_dict_ (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) pr_thresholds_ (slickml.metrics.BinaryClassificationMetrics attribute) prec_rec_threshold_ (slickml.metrics.BinaryClassificationMetrics attribute) precision_ (slickml.metrics.BinaryClassificationMetrics attribute) precision_digits (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) precision_list_ (slickml.metrics.BinaryClassificationMetrics attribute) predict() (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] (slickml.regression.GLMNetCVRegressor method), [1] (slickml.regression.XGBoostCVRegressor method), [1] (slickml.regression.XGBoostRegressor method), [1] predict_proba() (slickml.classification.GLMNetCVClassifier method), [1] (slickml.classification.XGBoostClassifier method), [1] (slickml.classification.XGBoostCVClassifier method), [1] PURPLE (slickml.utils.Colors attribute) R r2_ (slickml.metrics.RegressionMetrics attribute) random_state (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) recall_ (slickml.metrics.BinaryClassificationMetrics attribute) recall_list_ (slickml.metrics.BinaryClassificationMetrics attribute) RED (slickml.utils.Colors attribute) RegressionMetrics (class in slickml.metrics) results_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.GLMNetCVRegressor attribute) roc_thresholds_ (slickml.metrics.BinaryClassificationMetrics attribute) S scale (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) scale_mean (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) scale_std (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) scaler_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) score() (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) sens_spec_threshold_ (slickml.metrics.BinaryClassificationMetrics attribute) set_params() (slickml.base.BaseXGBoostEstimator method) (slickml.classification.GLMNetCVClassifier method) (slickml.classification.XGBoostClassifier method) (slickml.classification.XGBoostCVClassifier method) (slickml.optimization.XGBoostBayesianOptimizer method) (slickml.optimization.XGBoostHyperOptimizer method) (slickml.regression.GLMNetCVRegressor method) (slickml.regression.XGBoostCVRegressor method) (slickml.regression.XGBoostRegressor method) (slickml.selection.XGBoostFeatureSelector method) shap_explainer_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) shap_values_test_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) shap_values_train_ (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) shuffle (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) slickml module slickml.base module slickml.beta module slickml.classification module slickml.cli module slickml.metrics module slickml.optimization module slickml.regression module slickml.selection module slickml.utils module slickml.visualization module sparse_matrix (slickml.base.BaseXGBoostEstimator attribute) (slickml.classification.GLMNetCVClassifier attribute) (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.GLMNetCVRegressor attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) (slickml.selection.XGBoostFeatureSelector attribute) std_y_ratio_ (slickml.metrics.RegressionMetrics attribute) stratified (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.selection.XGBoostFeatureSelector attribute) T threat_score_ (slickml.metrics.BinaryClassificationMetrics attribute) threshold (slickml.metrics.BinaryClassificationMetrics attribute) thresholds_dict_ (slickml.metrics.BinaryClassificationMetrics attribute) tn_ (slickml.metrics.BinaryClassificationMetrics attribute) to_dict() (slickml.base.ExtendedEnum class method) (slickml.base.ExtendedEnum method) (slickml.utils.Colors class method) (slickml.utils.Colors method) tolerance (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) tp_ (slickml.metrics.BinaryClassificationMetrics attribute) tpr_list_ (slickml.metrics.BinaryClassificationMetrics attribute) U UNDERLINE (slickml.utils.Colors attribute) V value() (slickml.base.ExtendedEnum method) (slickml.utils.Colors method) values() (slickml.base.ExtendedEnum class method) (slickml.base.ExtendedEnum method) (slickml.utils.Colors class method) (slickml.utils.Colors method) verbose (slickml.classification.XGBoostCVClassifier attribute) (slickml.optimization.XGBoostBayesianOptimizer attribute) (slickml.optimization.XGBoostHyperOptimizer attribute) (slickml.regression.XGBoostCVRegressor attribute) verbose_eval (slickml.selection.XGBoostFeatureSelector attribute) X X_test (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) X_test_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) X_train (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) X_train_ (slickml.classification.XGBoostClassifier attribute) (slickml.classification.XGBoostCVClassifier attribute) (slickml.regression.XGBoostCVRegressor attribute) (slickml.regression.XGBoostRegressor attribute) XGBoostBayesianOptimizer (class in slickml.optimization) XGBoostClassifier (class in slickml.classification) XGBoostCVClassifier (class in slickml.classification) XGBoostCVRegressor (class in slickml.regression) XGBoostFeatureSelector (class in slickml.selection) XGBoostHyperOptimizer (class in slickml.optimization) XGBoostRegressor (class in slickml.regression) Y y_pred (slickml.metrics.RegressionMetrics attribute) y_pred_ (slickml.metrics.BinaryClassificationMetrics attribute) y_pred_proba (slickml.metrics.BinaryClassificationMetrics attribute) y_ratio_ (slickml.metrics.RegressionMetrics attribute) y_residual_ (slickml.metrics.RegressionMetrics attribute) y_residual_normsq_ (slickml.metrics.RegressionMetrics attribute) y_test (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) y_train (slickml.classification.GLMNetCVClassifier attribute) (slickml.regression.GLMNetCVRegressor attribute) y_true (slickml.metrics.BinaryClassificationMetrics attribute) (slickml.metrics.RegressionMetrics attribute) YELLOW (slickml.utils.Colors attribute) youden_index_ (slickml.metrics.BinaryClassificationMetrics attribute) youden_threshold_ (slickml.metrics.BinaryClassificationMetrics attribute)