lale.lib.sklearn.random_forest_regressor module

class lale.lib.sklearn.random_forest_regressor.RandomForestRegressorImpl(n_estimators=10, criterion='mse', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, bootstrap=True, oob_score=False, n_jobs=None, random_state=None, verbose=0, warm_start=False)[source]

Bases: object

fit(X, y, **fit_params)[source]
predict(X)[source]