fcostin f5ddde0049 svd fails for sample_weights, use eig instead		2012-02-28 20:46:18 +09:00
..
sparse	Revert "ENH: small speedups in coordinate descent"	2012-02-25 19:18:01 +01:00
tests	fixed tests to work with Ridge GCV	2012-02-28 20:46:18 +09:00
__init__.py	MISC: address @ogrisel and @mblondel's comments	2012-01-31 18:11:05 +01:00
base.py	COSMIT pep8	2012-02-01 22:32:17 +01:00
bayes.py	COSMIT: Class docs don't have a 'Methods' section. It is autogenerated.	2011-12-22 19:44:14 +01:00
cd_fast.c	Revert "ENH: small speedups in coordinate descent"	2012-02-25 19:18:01 +01:00
cd_fast.pyx	Revert "ENH: small speedups in coordinate descent"	2012-02-25 19:18:01 +01:00
coordinate_descent.py	MISC: cosmit to please @agramfort	2012-02-26 23:06:18 +01:00
least_angle.py	TEST: better tests of LassoCV and LassoLarsCV	2012-02-27 00:32:46 +01:00
logistic.py	Merge branch 'master' into svm_class_weights	2012-02-15 00:12:02 +01:00
omp.py	FIX: issue #540, make omp robust to empty solution	2012-01-09 00:45:55 +02:00
perceptron.py	COSMIT pep8	2012-02-01 22:32:17 +01:00
randomized_l1.py	Faster hierarchical cluster for very dense trees	2012-02-25 21:02:45 +01:00
ridge.py	svd fails for sample_weights, use eig instead	2012-02-28 20:46:18 +09:00
setup.py	added new sgd dataset abstraction to unify sparse and dense implementations.	2012-02-07 17:57:41 +01:00
sgd_fast.c	cosmit: better docstrings for SGD	2012-02-12 19:15:54 +01:00
sgd_fast.pxd	use Py_ssize_t where appropriate; cosmit	2012-02-08 22:03:38 +01:00
sgd_fast.pyx	cosmit: better docstrings for SGD	2012-02-12 19:15:54 +01:00
stochastic_gradient.py	Merge branch 'master' into svm_class_weights	2012-02-15 00:12:02 +01:00