scikit-learn/sklearn/linear_model
jamestwebber 928541c805 Fixed precompute issue (again) in ElasticNet and enet_path
The previous fix (41ae851643) didn't change things (https://github.com/scikit-learn/scikit-learn/issues/1734) in the n_samples <= n_features case, as the value of precompute was unchanged and remained truthy.

Also, the same issue existed in enet_path, so I applied the same fix.
2013-05-13 13:35:49 +02:00
..
tests FIX typo in test for RdigeCV 2013-05-07 22:52:41 +02:00
__init__.py COSMIT pep8 2012-12-22 16:48:17 +01:00
base.py fixed typo 2013-05-07 17:47:07 +02:00
bayes.py BUG Add lambda_ attribute to ARDRegression after fit 2013-04-15 22:58:41 +02:00
cd_fast.c COSMIT various typofixes 2013-04-11 21:22:14 +02:00
cd_fast.pyx DOC: Replaced all BSD style licenses with "BSD 3 clause" 2013-04-30 08:34:46 +02:00
coordinate_descent.py Fixed precompute issue (again) in ElasticNet and enet_path 2013-05-13 13:35:49 +02:00
least_angle.py DOC return_path argument, prettier references 2013-05-05 14:38:31 +02:00
logistic.py ENH multiclass probability estimates for SGDClassifier 2013-03-30 12:33:33 +01:00
omp.py DOC: Replaced all BSD style licenses with "BSD 3 clause" 2013-04-30 08:34:46 +02:00
passive_aggressive.py DOC: Replaced all BSD style licenses with "BSD 3 clause" 2013-04-30 08:34:46 +02:00
perceptron.py DOC: Replaced all BSD style licenses with "BSD 3 clause" 2013-04-30 08:34:46 +02:00
randomized_l1.py COSMIT pep8 2013-05-04 10:43:39 +02:00
ridge.py BUG disable memory-blowing SVD for sparse input in RidgeCV 2013-05-03 17:48:39 +02:00
setup.py COSMIT pep8 2012-12-22 16:48:17 +01:00
sgd_fast.c COSMIT various typofixes 2013-04-11 21:22:14 +02:00
sgd_fast.pyx DOC: Replaced all BSD style licenses with "BSD 3 clause" 2013-04-30 08:34:46 +02:00
stochastic_gradient.py COSMIT pep8 2013-05-04 10:43:39 +02:00