Index _ | A | B | C | D | E | F | G | H | I | L | M | N | O | P | Q | R | S | T | U | V | W _ __init__() (boosters.Dataset method) (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) __new__() (boosters.Dataset static method) (boosters.GBDTConfig class method) (boosters.GBLinearConfig class method) A Absolute (boosters.Objective attribute) absolute() (boosters.Objective static method) Accuracy (boosters.Metric attribute) accuracy_at() (boosters.Metric static method) Auc (boosters.Metric attribute) auc() (boosters.Metric static method) B binning_sample_cnt (boosters.GBDTConfig attribute) builder() (boosters.Dataset class method) C cache_size (boosters.GBDTConfig attribute) categorical_features (boosters.Dataset attribute) classes_ (boosters.sklearn.GBDTClassifier attribute) (boosters.sklearn.GBLinearClassifier attribute) coef_ (boosters.GBLinearModel attribute), [1] (boosters.sklearn.GBLinearClassifier property) (boosters.sklearn.GBLinearRegressor property) colsample_bylevel (boosters.GBDTConfig attribute) colsample_bytree (boosters.GBDTConfig attribute) config (boosters.GBDTModel attribute) D Dataset (class in boosters) E early_stopping_rounds (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) enable_bundling (boosters.GBDTConfig attribute) F feature_importance() (boosters.GBDTModel method) feature_importances_ (boosters.sklearn.GBDTClassifier property) (boosters.sklearn.GBDTRegressor property) feature_names (boosters.Dataset attribute) (boosters.GBDTModel attribute) (boosters.GBLinearModel attribute) fit() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) from_bytes() (boosters.GBDTModel static method) (boosters.GBLinearModel static method) from_json_bytes() (boosters.GBDTModel static method) (boosters.GBLinearModel static method) G GBDTClassifier (class in boosters.sklearn) GBDTConfig (class in boosters) GBDTModel (class in boosters) GBDTRegressor (class in boosters.sklearn) GBLinearClassifier (class in boosters.sklearn) GBLinearConfig (class in boosters) GBLinearModel (class in boosters) GBLinearRegressor (class in boosters.sklearn) get_feature_importance() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) get_metadata_routing() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) get_params() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) growth_strategy (boosters.GBDTConfig attribute) H has_labels (boosters.Dataset attribute) has_weights (boosters.Dataset attribute) Hinge (boosters.Objective attribute) hinge() (boosters.Objective static method) Huber (boosters.Objective attribute) huber() (boosters.Objective static method) I intercept_ (boosters.GBLinearModel attribute), [1] (boosters.sklearn.GBLinearClassifier property) (boosters.sklearn.GBLinearRegressor property) is_fitted (boosters.GBDTModel attribute) (boosters.GBLinearModel attribute) L l1 (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) l2 (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) learning_rate (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) linear_coefficient_threshold (boosters.GBDTConfig attribute) linear_l1 (boosters.GBDTConfig attribute) linear_l2 (boosters.GBDTConfig attribute) linear_leaves (boosters.GBDTConfig attribute) linear_max_features (boosters.GBDTConfig attribute) linear_max_iterations (boosters.GBDTConfig attribute) linear_min_samples (boosters.GBDTConfig attribute) linear_skip_first_n_trees (boosters.GBDTConfig attribute) linear_tolerance (boosters.GBDTConfig attribute) linear_use_global_features (boosters.GBDTConfig attribute) Logistic (boosters.Objective attribute) logistic() (boosters.Objective static method) LogLoss (boosters.Metric attribute) logloss() (boosters.Metric static method) M Mae (boosters.Metric attribute) mae() (boosters.Metric static method) Mape (boosters.Metric attribute) mape() (boosters.Metric static method) margin_accuracy() (boosters.Metric static method) MarginAccuracy (boosters.Metric attribute) max_bins (boosters.GBDTConfig attribute) max_categorical_cardinality (boosters.GBDTConfig attribute) max_delta_step (boosters.GBLinearConfig attribute) max_depth (boosters.GBDTConfig attribute) max_onehot_cats (boosters.GBDTConfig attribute) metric (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) Metric (class in boosters) min_child_weight (boosters.GBDTConfig attribute) min_gain_to_split (boosters.GBDTConfig attribute) min_samples_leaf (boosters.GBDTConfig attribute) model_ (boosters.sklearn.GBDTClassifier attribute) (boosters.sklearn.GBDTRegressor attribute) (boosters.sklearn.GBLinearClassifier attribute) (boosters.sklearn.GBLinearRegressor attribute) multiclass_accuracy() (boosters.Metric static method) multiclass_logloss() (boosters.Metric static method) MulticlassAccuracy (boosters.Metric attribute) MulticlassLogLoss (boosters.Metric attribute) N n_classes_ (boosters.sklearn.GBDTClassifier attribute) (boosters.sklearn.GBLinearClassifier attribute) n_estimators (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) n_features (boosters.Dataset attribute) (boosters.GBDTModel attribute), [1] n_features_in_ (boosters.GBLinearModel attribute), [1] (boosters.sklearn.GBDTClassifier attribute) (boosters.sklearn.GBDTRegressor attribute) (boosters.sklearn.GBLinearClassifier attribute) (boosters.sklearn.GBLinearRegressor attribute) n_leaves (boosters.GBDTConfig attribute) n_samples (boosters.Dataset attribute) n_trees (boosters.GBDTModel attribute), [1] None (boosters.Metric attribute) none() (boosters.Metric static method) O objective (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) Objective (class in boosters) P Pinball (boosters.Objective attribute) pinball() (boosters.Objective static method) Poisson (boosters.Objective attribute) poisson() (boosters.Objective static method) poisson_deviance() (boosters.Metric static method) PoissonDeviance (boosters.Metric attribute) predict() (boosters.GBDTModel method) (boosters.GBLinearModel method) (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) predict_proba() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBLinearClassifier method) predict_raw() (boosters.GBDTModel method) (boosters.GBLinearModel method) Q Quantile (boosters.Metric attribute) quantile() (boosters.Metric static method) R Rmse (boosters.Metric attribute) rmse() (boosters.Metric static method) S score() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) seed (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) set_fit_request() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) set_params() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) set_score_request() (boosters.sklearn.GBDTClassifier method) (boosters.sklearn.GBDTRegressor method) (boosters.sklearn.GBLinearClassifier method) (boosters.sklearn.GBLinearRegressor method) shap_values() (boosters.GBDTModel method) shape (boosters.Dataset attribute) Softmax (boosters.Objective attribute) softmax() (boosters.Objective static method) sparsity_threshold (boosters.GBDTConfig attribute) Squared (boosters.Objective attribute) squared() (boosters.Objective static method) subsample (boosters.GBDTConfig attribute) T to_bytes() (boosters.GBDTModel method) (boosters.GBLinearModel method) to_json_bytes() (boosters.GBDTModel method) (boosters.GBLinearModel method) train() (boosters.GBDTModel static method) (boosters.GBLinearModel static method) U update_strategy (boosters.GBLinearConfig attribute) V verbosity (boosters.GBDTConfig attribute) (boosters.GBLinearConfig attribute) W was_converted (boosters.Dataset attribute)