scikit-learn/scikits/learn/linear_model
Salvatore Masecchia 8d165feaa3 FIX: coordinate descent stopping rule 2011-07-29 12:22:43 +02:00
..
sparse DOC: adding note on glmnet parameter correspondance in ElasticNet 2011-07-20 15:46:56 -04:00
tests Merge branch 'master' into lars_n_features 2011-07-27 17:51:40 +03:00
__init__.py ENH: adding LARS and LassoLARS deprecated classes 2011-07-26 16:17:21 -04:00
base.py Reverse coef_ in Ridge. 2011-07-08 04:16:07 +09:00
bayes.py Typo : fix the 0.5 coefficient 2011-07-26 11:32:09 +02:00
cd_fast.c FIX: coordinate descent stopping rule 2011-07-29 12:22:43 +02:00
cd_fast.pyx FIX: coordinate descent stopping rule 2011-07-29 12:22:43 +02:00
coordinate_descent.py API : renaming LARS to Lars 2011-07-25 21:41:48 -04:00
least_angle.py Use default value for n_nonzero_coefs 2011-07-29 11:34:10 +02:00
logistic.py pep8 2011-05-16 21:52:06 -04:00
ridge.py avoid mutable default arguments 2011-07-23 01:47:40 +02:00
setup.py Deleted code is debugged code. 2011-02-24 11:39:50 +01:00
sgd_fast.c changed semantics of LossFunction.dloss. 2011-05-11 16:25:37 +02:00
sgd_fast.pxd SGD module supports two additional learning rates: constant and inverse scaling. 2011-05-04 17:20:17 +02:00
sgd_fast.pyx changed semantics of LossFunction.dloss. 2011-05-11 16:25:37 +02:00
sgd_fast_sparse.c changed semantics of LossFunction.dloss. 2011-05-11 16:25:37 +02:00
sgd_fast_sparse.pyx changed semantics of LossFunction.dloss. 2011-05-11 16:25:37 +02:00
stochastic_gradient.py cosmit: pep8 2011-05-04 20:14:54 +02:00