"""
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 BayesianRidge, ARDRegression
from ._least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
LassoLarsCV, LassoLarsIC)
from ._coordinate_descent import (Lasso, ElasticNet, LassoCV, ElasticNetCV,
lasso_path, enet_path, MultiTaskLasso,
MultiTaskElasticNet, MultiTaskElasticNetCV,
MultiTaskLassoCV)
from ._huber import HuberRegressor
from ._sgd_fast import Hinge, Log, ModifiedHuber, SquaredLoss, Huber
from ._stochastic_gradient import SGDClassifier, SGDRegressor
from ._ridge import (Ridge, RidgeCV, RidgeClassifier, RidgeClassifierCV,
ridge_regression)
from ._logistic import (LogisticRegression, LogisticRegressionCV,
logistic_regression_path)
from ._omp import (orthogonal_mp, orthogonal_mp_gram,
OrthogonalMatchingPursuit, OrthogonalMatchingPursuitCV)
from ._passive_aggressive import PassiveAggressiveClassifier
from ._passive_aggressive import PassiveAggressiveRegressor
from ._perceptron import Perceptron
from ._ransac import RANSACRegressor
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',
'Ridge',
'RidgeCV',
'RidgeClassifier',
'RidgeClassifierCV',
'SGDClassifier',
'SGDRegressor',
'SquaredLoss',
'TheilSenRegressor',
'enet_path',
'lars_path',
'lars_path_gram',
'lasso_path',
'logistic_regression_path',
'orthogonal_mp',
'orthogonal_mp_gram',
'ridge_regression',
'RANSACRegressor']