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scikit-learn/sklearn/linear_model
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Andreas Mueller 127c44b730 ENH refactoring class weights for SVM and SGD 2013-01-03 13:21:50 +01:00
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tests COSMIT PEP8 2012-12-22 16:48:17 +01:00
__init__.py COSMIT pep8 2012-12-22 16:48:17 +01:00
base.py COSMIT pep8 2012-12-22 16:48:17 +01:00
bayes.py COSMIT pep8 2012-12-22 16:48:17 +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 COSMIT pep8 2012-12-22 16:48:17 +01:00
least_angle.py FIX stupid mistake 2012-12-27 00:28:01 +01:00
logistic.py COSMIT pep8 2012-12-22 16:48:17 +01:00
omp.py COSMIT pep8 2012-12-22 16:48:17 +01:00
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 COSMIT pep8 2012-12-22 16:48:17 +01:00
ridge.py COSMIT pep8 2012-12-22 16:48:17 +01:00
setup.py COSMIT pep8 2012-12-22 16:48:17 +01:00
sgd_fast.c threshold parameter was ignored in SquaredHinge loss. 2013-01-03 07:56:41 +09:00
sgd_fast.pyx threshold parameter was ignored in SquaredHinge loss. 2013-01-03 07:56:41 +09:00
stochastic_gradient.py ENH refactoring class weights for SVM and SGD 2013-01-03 13:21:50 +01:00