U
    3‰dÞ  ã                   @   s  d Z ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddl	m
Z
 dd	l	mZ dd
lmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZ ddlmZmZ ddddddddddddd d!d"d#d$d%d&gZd'S )(zz
The :mod:`sklearn.ensemble` module includes ensemble-based methods for
classification, regression and anomaly detection.
é   )ÚBaseEnsemble)ÚRandomForestClassifier)ÚRandomForestRegressor)ÚRandomTreesEmbedding)ÚExtraTreesClassifier)ÚExtraTreesRegressor)ÚBaggingClassifier)ÚBaggingRegressor)ÚIsolationForest)ÚAdaBoostClassifier)ÚAdaBoostRegressor)ÚGradientBoostingClassifier)ÚGradientBoostingRegressor)ÚVotingClassifier)ÚVotingRegressor)ÚStackingClassifier)ÚStackingRegressor)ÚHistGradientBoostingRegressorÚHistGradientBoostingClassifierr   r   r   r   r   r   r   r	   r
   r   r   r   r   r   r   r   r   r   r   N)Ú__doc__Ú_baser   Z_forestr   r   r   r   r   Z_baggingr   r	   Z_iforestr
   Z_weight_boostingr   r   Z_gbr   r   Z_votingr   r   Z	_stackingr   r   Z)_hist_gradient_boosting.gradient_boostingr   r   Ú__all__© r   r   ú=/tmp/pip-unpacked-wheel-zrfo1fqw/sklearn/ensemble/__init__.pyÚ<module>   sL   í