lale.lib.xgboost.xgb_regressor module

class lale.lib.xgboost.xgb_regressor.XGBRegressorImpl(max_depth=3, learning_rate=0.1, n_estimators=100, verbosity=1, silent=None, objective='reg:linear', booster='gbtree', n_jobs=1, nthread=None, gamma=0, min_child_weight=1, max_delta_step=0, subsample=1, colsample_bytree=1, colsample_bylevel=1, colsample_bynode=1, reg_alpha=0, reg_lambda=1, scale_pos_weight=1, base_score=0.5, random_state=0, seed=None, missing=None, importance_type='gain')

Bases: sklearn.base.BaseEstimator

fit(X, y, **fit_params)

predict(X)

predict_proba(X)