36 lines
1.3 KiB
Python
36 lines
1.3 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 .gradient_boosting import GradientBoostingClassifier
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from .gradient_boosting import GradientBoostingRegressor
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from .voting_classifier import VotingClassifier
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from . import bagging
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from . import forest
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from . import weight_boosting
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from . import gradient_boosting
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from . import partial_dependence
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__all__ = ["BaseEnsemble",
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"RandomForestClassifier", "RandomForestRegressor",
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"RandomTreesEmbedding", "ExtraTreesClassifier",
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"ExtraTreesRegressor", "BaggingClassifier",
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"BaggingRegressor", "IsolationForest", "GradientBoostingClassifier",
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"GradientBoostingRegressor", "AdaBoostClassifier",
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"AdaBoostRegressor", "VotingClassifier",
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"bagging", "forest", "gradient_boosting",
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"partial_dependence", "weight_boosting"]
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