scikit-learn

Commit Graph

Author	SHA1	Message	Date
Alexis Mignon	b6854944fb	[MRG+1] Corrected sign error in QuantileLossFunction (#6429 ) * Corrected sign error in QuantileLossFunction	2016-12-22 18:09:58 +01:00
Konstantin Podshumok	9b2aac9e5c	[MRG + 1] [TST] (half-cosmetic) use less nose.tools import to simplify future transition to py.test (#7384 ) * use less nose.tools import to simplify future transition to activly developing test suites/runners * assert_equal -> assert_array_equal in test_feature_hasher_pairs_with_string_values and one missed ImportError that should be replaced with AttributeError * test for py2.6 compat with except AttributeError * fix importing of SkipTest * force using nose in python2.6 for now * there was no assert_dict_equal in py2.6. but we can use assert_equal although failed test will look a little bit ugly * remove nose imports from doc/datasets	2016-10-07 12:46:52 -04:00
Raghav R V	a87011262a	FIX precision to float64 across the codebase	2015-10-16 11:20:29 +02:00
Raghav R V	cd2ee7e454	MAINT docstring --> comments to prevent nose from using doc in verbose mode	2015-03-21 11:16:49 +05:30
Peter Prettenhofer	05fbc6423d	fix: sample_weight is None in Huber.deviance fix: sample_weight multiplication in Huber leaf updates more tests (non-uniform weights, weight consistency and invariance to scaling, deviance consistence)	2014-09-18 10:42:36 +02:00
Peter Prettenhofer	75f6e015c9	more tests for weighted percentile	2014-09-17 12:14:26 +02:00
Peter Prettenhofer	6fe6c34c15	adressed Olivier's feedback	2014-09-17 12:14:26 +02:00
Peter Prettenhofer	7f4c974d6b	Sample weights for gradient boosting Exponential loss for classification + predict_proba refactoring	2014-09-17 12:14:26 +02:00
Jaques Grobler	2ffb484adb	COSMIT pep8	2013-05-04 10:43:39 +02:00
Peter Prettenhofer	44360a31f3	pep8 and assert_equal instead of assert	2013-01-26 18:19:13 +01:00
Peter Prettenhofer	1a09e204a1	add loss function for gradient boosting binomial deviance	2013-01-26 17:26:05 +01:00

11 Commits