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