scikit-learn/sklearn/linear_model
Mathieu Blondel 116b54a8c8 Fix bug in sqnorm (used by PassiveAggressive).
The function was using the wrong data indices T_T.
2012-11-24 23:05:52 +09:00
..
tests Fix bug in sqnorm (used by PassiveAggressive). 2012-11-24 23:05:52 +09:00
__init__.py API : move isotonic regression out of linear_model 2012-11-14 22:01:53 +01:00
base.py P3K: Fixed imports. 2012-11-14 07:22:38 +01:00
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
least_angle.py TST: difficult test for early stopping 2012-11-08 10:39:22 +01:00
logistic.py ENH add random seed to logistic regression 2012-10-18 13:48:10 +02:00
omp.py DOC added comment about default for n_nonzero_coefs. 2012-11-10 15:53:58 +00:00
passive_aggressive.py COSMIT pep8 2012-11-10 14:02:29 +00:00
perceptron.py COSMIT pep8 2012-11-10 14:02:29 +00:00
randomized_l1.py ENH sparse matrix support in randomized logistic regression 2012-10-16 14:34:48 +02:00
ridge.py DOC: n_responses -> n_targets 2012-11-09 17:57:07 +01:00
setup.py DOC rm references to deprecated stuff 2012-09-20 22:15:39 +02:00
sgd_fast.c Fix bug in sqnorm (used by PassiveAggressive). 2012-11-24 23:05:52 +09:00
sgd_fast.pyx Fix bug in sqnorm (used by PassiveAggressive). 2012-11-24 23:05:52 +09:00
stochastic_gradient.py COSMIT pep8 2012-11-10 14:02:29 +00:00