scikit-learn/sklearn/feature_selection
Lars Buitinck 551625fad7 MAINT simplify f_oneway in feature selection
reduce(lambda x, y: x + y, s) == sum(s), always.
2013-10-14 00:15:31 +02:00
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tests FIX #2372: non-shuffling StratifiedKFold implementation and updated tests 2013-09-25 15:56:47 +02:00
__init__.py ENH add VarianceThreshold feature selection method 2013-08-20 14:24:08 +02:00
base.py COSMIT pep8 2013-07-11 11:50:23 +02:00
from_model.py ENH Create FeatureSelectionMixin for shared [inverse_]transform code 2013-05-21 13:53:12 +10:00
rfe.py MAINT deprecate indices=False for cross validation generators 2013-09-10 10:58:24 +02:00
selector_mixin.py ENH Create FeatureSelectionMixin for shared [inverse_]transform code 2013-05-21 13:53:12 +10:00
univariate_selection.py MAINT simplify f_oneway in feature selection 2013-10-14 00:15:31 +02:00
variance_threshold.py ENH add VarianceThreshold feature selection method 2013-08-20 14:24:08 +02:00