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venv/Lib/site-packages/sklearn/ensemble/__init__.py

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+"""
+The :mod:`sklearn.ensemble` module includes ensemble-based methods for
+classification, regression and anomaly detection.
+"""
+import typing
+
+from ._base import BaseEnsemble
+from ._forest import RandomForestClassifier
+from ._forest import RandomForestRegressor
+from ._forest import RandomTreesEmbedding
+from ._forest import ExtraTreesClassifier
+from ._forest import ExtraTreesRegressor
+from ._bagging import BaggingClassifier
+from ._bagging import BaggingRegressor
+from ._iforest import IsolationForest
+from ._weight_boosting import AdaBoostClassifier
+from ._weight_boosting import AdaBoostRegressor
+from ._gb import GradientBoostingClassifier
+from ._gb import GradientBoostingRegressor
+from ._voting import VotingClassifier
+from ._voting import VotingRegressor
+from ._stacking import StackingClassifier
+from ._stacking import StackingRegressor
+
+if typing.TYPE_CHECKING:
+    # Avoid errors in type checkers (e.g. mypy) for experimental estimators.
+    # TODO: remove this check once the estimator is no longer experimental.
+    from ._hist_gradient_boosting.gradient_boosting import (  # noqa
+        HistGradientBoostingRegressor, HistGradientBoostingClassifier
+    )
+
+__all__ = ["BaseEnsemble",
+           "RandomForestClassifier", "RandomForestRegressor",
+           "RandomTreesEmbedding", "ExtraTreesClassifier",
+           "ExtraTreesRegressor", "BaggingClassifier",
+           "BaggingRegressor", "IsolationForest", "GradientBoostingClassifier",
+           "GradientBoostingRegressor", "AdaBoostClassifier",
+           "AdaBoostRegressor", "VotingClassifier", "VotingRegressor",
+           "StackingClassifier", "StackingRegressor",
+           ]