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- """
- The :mod:`sklearn.ensemble` module includes ensemble-based methods for
- classification, regression and anomaly detection.
- """
- from ._bagging import BaggingClassifier, BaggingRegressor
- from ._base import BaseEnsemble
- from ._forest import (
- ExtraTreesClassifier,
- ExtraTreesRegressor,
- RandomForestClassifier,
- RandomForestRegressor,
- RandomTreesEmbedding,
- )
- from ._gb import GradientBoostingClassifier, GradientBoostingRegressor
- from ._hist_gradient_boosting.gradient_boosting import (
- HistGradientBoostingClassifier,
- HistGradientBoostingRegressor,
- )
- from ._iforest import IsolationForest
- from ._stacking import StackingClassifier, StackingRegressor
- from ._voting import VotingClassifier, VotingRegressor
- from ._weight_boosting import AdaBoostClassifier, AdaBoostRegressor
- __all__ = [
- "BaseEnsemble",
- "RandomForestClassifier",
- "RandomForestRegressor",
- "RandomTreesEmbedding",
- "ExtraTreesClassifier",
- "ExtraTreesRegressor",
- "BaggingClassifier",
- "BaggingRegressor",
- "IsolationForest",
- "GradientBoostingClassifier",
- "GradientBoostingRegressor",
- "AdaBoostClassifier",
- "AdaBoostRegressor",
- "VotingClassifier",
- "VotingRegressor",
- "StackingClassifier",
- "StackingRegressor",
- "HistGradientBoostingClassifier",
- "HistGradientBoostingRegressor",
- ]
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