scikit-learn/sklearn/ensemble
Nicolas Hug 2df846281f DOC User guide section for histogram-based GBDTs (#14525)
* User guide for histogram based GBDTs

* Added backlinks to user guide in classes

* typos

* Roman's comments

* reduce diff

* Update doc/modules/ensemble.rst

* Addressed comments

* Added why it's faster explanation

* references at the end

* Update doc/modules/ensemble.rst

* Update doc/modules/ensemble.rst

* Update doc/modules/ensemble.rst

* added where code is parallel

* removed missing values section
2019-08-05 18:57:36 +02:00
..
_hist_gradient_boosting DOC User guide section for histogram-based GBDTs (#14525) 2019-08-05 18:57:36 +02:00
tests MAINT Remove tolerance paramter from Perceptron (#14558) 2019-08-02 16:11:46 -04:00
__init__.py FEA VotingRegressor (#12513) 2019-04-10 21:27:17 +10:00
_gb_losses.py Fix spacing and formatting inconsistencies (#13747) 2019-05-02 01:29:49 +10:00
_gradient_boosting.pyx MNT Cleaning for fast partial dependence computation (#13738) 2019-05-03 09:00:25 +10:00
bagging.py MAINT Remove imports from sklearn.utils._joblib (#13676) 2019-06-18 18:37:14 +04:00
base.py MAINT Remove imports from sklearn.utils._joblib (#13676) 2019-06-18 18:37:14 +04:00
forest.py DOC Added base_estimator attribute documentation to RandomForest* (#14362) 2019-07-14 14:22:09 -05:00
gradient_boosting.py DOC some attribute documentation (#14459) 2019-07-25 17:27:35 +02:00
iforest.py MAINT Use isinstance(x, numbers.Integral) to check for integer dtype (#14004) 2019-06-12 19:24:59 -04:00
partial_dependence.py MAINT Remove imports from sklearn.utils._joblib (#13676) 2019-06-18 18:37:14 +04:00
setup.py [MRG+2] Faster Gradient Boosting Decision Trees with binned features (#12807) 2019-04-26 21:14:59 +02:00
voting.py [MRG] FIX run test for meta-estimator having estimators keyword (#14305) 2019-07-29 15:01:49 -04:00
weight_boosting.py MNT Redundant statement in AdaBoostClassifier (#14401) 2019-07-26 15:50:40 +02:00