87 lines
3.1 KiB
Python
87 lines
3.1 KiB
Python
|
"""
|
||
|
|
The :mod:`sklearn.linear_model` module implements generalized linear models. It
|
||
|
|
includes Ridge regression, Bayesian Regression, Lasso and Elastic Net
|
||
|
|
estimators computed with Least Angle Regression and coordinate descent. It also
|
||
|
|
implements Stochastic Gradient Descent related algorithms.
|
||
|
|
"""
|
||
|
|
|
||
|
|
# 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, 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 .randomized_l1 import (RandomizedLasso, RandomizedLogisticRegression,
|
||
|
|
lasso_stability_path)
|
||
|
|
|
||
|
|
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',
|
||
|
|
'RandomizedLasso',
|
||
|
|
'RandomizedLogisticRegression',
|
||
|
|
'Ridge',
|
||
|
|
'RidgeCV',
|
||
|
|
'RidgeClassifier',
|
||
|
|
'RidgeClassifierCV',
|
||
|
|
'SGDClassifier',
|
||
|
|
'SGDRegressor',
|
||
|
|
'SquaredLoss',
|
||
|
|
'TheilSenRegressor',
|
||
|
|
'enet_path',
|
||
|
|
'lars_path',
|
||
|
|
'lasso_path',
|
||
|
|
'lasso_stability_path',
|
||
|
|
'logistic_regression_path',
|
||
|
|
'orthogonal_mp',
|
||
|
|
'orthogonal_mp_gram',
|
||
|
|
'ridge_regression',
|
||
|
|
'RANSACRegressor']
|