1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
"""Ensemble-based methods for classification, regression and anomaly detection."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
from sklearn.ensemble._bagging import BaggingClassifier, BaggingRegressor
from sklearn.ensemble._base import BaseEnsemble
from sklearn.ensemble._forest import (
ExtraTreesClassifier,
ExtraTreesRegressor,
RandomForestClassifier,
RandomForestRegressor,
RandomTreesEmbedding,
)
from sklearn.ensemble._gb import GradientBoostingClassifier, GradientBoostingRegressor
from sklearn.ensemble._hist_gradient_boosting.gradient_boosting import (
HistGradientBoostingClassifier,
HistGradientBoostingRegressor,
)
from sklearn.ensemble._iforest import IsolationForest
from sklearn.ensemble._stacking import StackingClassifier, StackingRegressor
from sklearn.ensemble._voting import VotingClassifier, VotingRegressor
from sklearn.ensemble._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",
]
|
