scikit-learn/sklearn/linear_model
Lars Buitinck 77b4670b6a COSMIT use np.clip in SGD 2012-10-29 00:47:00 +01:00
..
tests More use sklearn.utils.testing. 2012-10-25 21:21:22 +09:00
__init__.py Better tests + cosmetic changes. 2012-10-16 14:18:43 +02:00
base.py DOC various typos and other minor stuff 2012-10-11 11:26:22 +02:00
bayes.py Use pinvh wherever it helps in the codebase. 2012-09-04 19:58:47 +01:00
cd_fast.c cd_fast: use square norm directly 2012-10-03 19:12:47 -07:00
cd_fast.pyx cd_fast: use square norm directly 2012-10-03 19:12:47 -07:00
coordinate_descent.py ENH don't use deprecated interface in PPCA & cosmit 2012-10-18 14:09:48 +02:00
isotonic_regression_.py Store X as an ordered array. 2012-10-16 14:18:43 +02:00
least_angle.py BUG rm LARS from linear_model.__init__ 2012-09-17 20:40:44 +02:00
logistic.py ENH add random seed to logistic regression 2012-10-18 13:48:10 +02:00
omp.py COSMIT pep8 2012-10-10 09:38:10 +02:00
perceptron.py ENH address @agramfort's comments, fix some doctests 2012-10-11 20:56:03 +01:00
randomized_l1.py ENH sparse matrix support in randomized logistic regression 2012-10-16 14:34:48 +02:00
ridge.py Fix warning message. 2012-09-29 02:16:06 +09:00
setup.py DOC rm references to deprecated stuff 2012-09-20 22:15:39 +02:00
sgd_fast.c Easier to understand formula. 2012-05-03 20:21:47 +09:00
sgd_fast.pyx Easier to understand formula. 2012-05-03 20:21:47 +09:00
stochastic_gradient.py COSMIT use np.clip in SGD 2012-10-29 00:47:00 +01:00