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
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
|
"""
The :mod:`sklearn.linear_model` module implements a variety of linear models.
"""
# See http://scikit-learn.sourceforge.net/modules/sgd.html and
# http://scikit-learn.sourceforge.net/modules/linear_model.html for
# complete documentation.
from ._base import LinearRegression
from ._bayes import ARDRegression, BayesianRidge
from ._coordinate_descent import (
ElasticNet,
ElasticNetCV,
Lasso,
LassoCV,
MultiTaskElasticNet,
MultiTaskElasticNetCV,
MultiTaskLasso,
MultiTaskLassoCV,
enet_path,
lasso_path,
)
from ._glm import GammaRegressor, PoissonRegressor, TweedieRegressor
from ._huber import HuberRegressor
from ._least_angle import (
Lars,
LarsCV,
LassoLars,
LassoLarsCV,
LassoLarsIC,
lars_path,
lars_path_gram,
)
from ._logistic import LogisticRegression, LogisticRegressionCV
from ._omp import (
OrthogonalMatchingPursuit,
OrthogonalMatchingPursuitCV,
orthogonal_mp,
orthogonal_mp_gram,
)
from ._passive_aggressive import PassiveAggressiveClassifier, PassiveAggressiveRegressor
from ._perceptron import Perceptron
from ._quantile import QuantileRegressor
from ._ransac import RANSACRegressor
from ._ridge import Ridge, RidgeClassifier, RidgeClassifierCV, RidgeCV, ridge_regression
from ._sgd_fast import Hinge, Huber, Log, ModifiedHuber, SquaredLoss
from ._stochastic_gradient import SGDClassifier, SGDOneClassSVM, SGDRegressor
from ._theil_sen import TheilSenRegressor
__all__ = [
"ARDRegression",
"BayesianRidge",
"ElasticNet",
"ElasticNetCV",
"Hinge",
"Huber",
"HuberRegressor",
"Lars",
"LarsCV",
"Lasso",
"LassoCV",
"LassoLars",
"LassoLarsCV",
"LassoLarsIC",
"LinearRegression",
"Log",
"LogisticRegression",
"LogisticRegressionCV",
"ModifiedHuber",
"MultiTaskElasticNet",
"MultiTaskElasticNetCV",
"MultiTaskLasso",
"MultiTaskLassoCV",
"OrthogonalMatchingPursuit",
"OrthogonalMatchingPursuitCV",
"PassiveAggressiveClassifier",
"PassiveAggressiveRegressor",
"Perceptron",
"QuantileRegressor",
"Ridge",
"RidgeCV",
"RidgeClassifier",
"RidgeClassifierCV",
"SGDClassifier",
"SGDRegressor",
"SGDOneClassSVM",
"SquaredLoss",
"TheilSenRegressor",
"enet_path",
"lars_path",
"lars_path_gram",
"lasso_path",
"orthogonal_mp",
"orthogonal_mp_gram",
"ridge_regression",
"RANSACRegressor",
"PoissonRegressor",
"GammaRegressor",
"TweedieRegressor",
]
|
