bigframes.ml.ensemble.XGBRegressor.__init__

XGBRegressor.__init__(n_estimators: int = 1, *, booster: Literal['gbtree', 'dart'] = 'gbtree', dart_normalized_type: Literal['tree', 'forest'] = 'tree', tree_method: Literal['auto', 'exact', 'approx', 'hist'] = 'auto', min_tree_child_weight: int = 1, colsample_bytree: float = 1.0, colsample_bylevel: float = 1.0, colsample_bynode: float = 1.0, gamma: float = 0.0, max_depth: int = 6, subsample: float = 1.0, reg_alpha: float = 0.0, reg_lambda: float = 1.0, learning_rate: float = 0.3, max_iterations: int = 20, tol: float = 0.01, enable_global_explain: bool = False, xgboost_version: Literal['0.9', '1.1'] = '0.9')