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"""Ensemble-based methods for classification, regression and anomaly detection."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
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__ = [
"AdaBoostClassifier",
"AdaBoostRegressor",
"BaggingClassifier",
"BaggingRegressor",
"BaseEnsemble",
"ExtraTreesClassifier",
"ExtraTreesRegressor",
"GradientBoostingClassifier",
"GradientBoostingRegressor",
"HistGradientBoostingClassifier",
"HistGradientBoostingRegressor",
"IsolationForest",
"RandomForestClassifier",
"RandomForestRegressor",
"RandomTreesEmbedding",
"StackingClassifier",
"StackingRegressor",
"VotingClassifier",
"VotingRegressor",
]
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