scikit-learn/sklearn/ensemble
Gilles Louppe 420daac269 Merge pull request #4190 from trevorstephens/refactor_cw
MRG+2: Refactor - Farm out class_weight calcs to .utils
2015-02-06 08:24:27 +01:00
..
tests FIX ensure that negative float max_features will lead to an error 2015-02-03 13:39:18 +01:00
__init__.py ENH bagging meta-estimator 2013-09-11 13:51:09 +02:00
_gradient_boosting.c ENH Bring sparse input support to tree-based methods 2014-11-06 13:58:28 +01:00
_gradient_boosting.pyx ENH fix astype usage to prevent copying 2014-06-18 11:01:28 +02:00
bagging.py TST fix tests with numpy 1.6.1 2015-02-01 15:49:49 +01:00
base.py FIX Support for negative values of n_jobs 2015-01-21 12:58:31 +01:00
forest.py Merge pull request #4190 from trevorstephens/refactor_cw 2015-02-06 08:24:27 +01:00
gradient_boosting.py Merge pull request #4193 from lesteve/deactivate-travis-default-venv 2015-02-03 16:25:36 +01:00
partial_dependence.py remove check_arrays stuff and old input validation 2014-07-20 13:31:45 +02:00
setup.py added gbrt extension module (faster prediction methods) 2012-03-29 08:34:45 +02:00
weight_boosting.py MAINT Make uniform the error raised for not fitted condition 2015-01-12 00:33:40 +05:30