""" 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 ._glm import (PoissonRegressor, GammaRegressor, TweedieRegressor) 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 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', 'orthogonal_mp', 'orthogonal_mp_gram', 'ridge_regression', 'RANSACRegressor', 'PoissonRegressor', 'GammaRegressor', 'TweedieRegressor']