autoemulate.emulators.random_forest#
- class RandomForest(x, y, standardize_x=False, standardize_y=False, n_estimators=100, criterion='squared_error', max_depth=None, min_samples_split=2, min_samples_leaf=1, max_features=1.0, bootstrap=True, oob_score=False, max_samples=None, random_seed=None, device='cpu', **kwargs)[source]#
Bases:
SklearnBackend
Random forest Emulator.
Implements Random Forests regression from scikit-learn.