81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
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"""
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The :mod:`sklearn.linear_model` module implements a variety of linear models.
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"""
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# See http://scikit-learn.sourceforge.net/modules/sgd.html and
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# http://scikit-learn.sourceforge.net/modules/linear_model.html for
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# complete documentation.
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from ._base import LinearRegression
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from ._bayes import BayesianRidge, ARDRegression
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from ._least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
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LassoLarsCV, LassoLarsIC)
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from ._coordinate_descent import (Lasso, ElasticNet, LassoCV, ElasticNetCV,
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lasso_path, enet_path, MultiTaskLasso,
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MultiTaskElasticNet, MultiTaskElasticNetCV,
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MultiTaskLassoCV)
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from ._glm import (PoissonRegressor,
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GammaRegressor, TweedieRegressor)
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from ._huber import HuberRegressor
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from ._sgd_fast import Hinge, Log, ModifiedHuber, SquaredLoss, Huber
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from ._stochastic_gradient import SGDClassifier, SGDRegressor
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from ._ridge import (Ridge, RidgeCV, RidgeClassifier, RidgeClassifierCV,
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ridge_regression)
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from ._logistic import LogisticRegression, LogisticRegressionCV
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from ._omp import (orthogonal_mp, orthogonal_mp_gram,
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OrthogonalMatchingPursuit, OrthogonalMatchingPursuitCV)
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from ._passive_aggressive import PassiveAggressiveClassifier
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from ._passive_aggressive import PassiveAggressiveRegressor
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from ._perceptron import Perceptron
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from ._ransac import RANSACRegressor
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from ._theil_sen import TheilSenRegressor
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__all__ = ['ARDRegression',
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'BayesianRidge',
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'ElasticNet',
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'ElasticNetCV',
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'Hinge',
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'Huber',
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'HuberRegressor',
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'Lars',
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'LarsCV',
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'Lasso',
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'LassoCV',
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'LassoLars',
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'LassoLarsCV',
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'LassoLarsIC',
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'LinearRegression',
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'Log',
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'LogisticRegression',
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'LogisticRegressionCV',
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'ModifiedHuber',
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'MultiTaskElasticNet',
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'MultiTaskElasticNetCV',
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'MultiTaskLasso',
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'MultiTaskLassoCV',
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'OrthogonalMatchingPursuit',
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'OrthogonalMatchingPursuitCV',
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'PassiveAggressiveClassifier',
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'PassiveAggressiveRegressor',
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'Perceptron',
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'Ridge',
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'RidgeCV',
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'RidgeClassifier',
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'RidgeClassifierCV',
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'SGDClassifier',
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'SGDRegressor',
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'SquaredLoss',
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'TheilSenRegressor',
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'enet_path',
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'lars_path',
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'lars_path_gram',
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'lasso_path',
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'orthogonal_mp',
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'orthogonal_mp_gram',
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'ridge_regression',
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'RANSACRegressor',
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'PoissonRegressor',
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'GammaRegressor',
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'TweedieRegressor']
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