scikit-learn/sklearn/ensemble
genvalen 65ae1a8586
MAINT Use check_scalar in _BaseStacking (#22405)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
2022-04-17 08:30:21 -04:00
..
_hist_gradient_boosting DEP loss = auto, binary_crossentropy, categorical_crossentropy in HGBT (#23040) 2022-04-07 17:30:24 +02:00
tests MAINT Use check_scalar in _BaseStacking (#22405) 2022-04-17 08:30:21 -04:00
__init__.py MNT Applies black formatting to most of the code base (#18948) 2021-06-17 14:21:09 -04:00
_bagging.py MNT Replace if_delegate_has_method with available_if in ensemble and semi_supervised (#20545) 2022-03-14 12:25:35 +01:00
_base.py API Deprecate max_feature=`auto` for tree classes (#22476) 2022-03-23 17:59:23 +01:00
_forest.py ENH add criterion log_loss as alternative to entropy in trees and forests (#23047) 2022-04-14 08:03:01 +02:00
_gb.py DEP loss_ attribute in gradient boosting (#23079) 2022-04-12 19:26:21 +02:00
_gb_losses.py DEP deviance in favor of log_loss for GradientBoostingClassifier (#23036) 2022-04-06 13:07:27 +02:00
_gradient_boosting.pyx DOC Update comment in sklearn/ensemble/_gradient_boosting.pyx (#23061) 2022-04-08 20:52:11 +02:00
_iforest.py MNT Bump joblib version dependency to 1.0.0 (#22365) 2022-02-09 13:47:18 +01:00
_stacking.py MAINT Use check_scalar in _BaseStacking (#22405) 2022-04-17 08:30:21 -04:00
_voting.py ENH Add feature_names_out to voting estimators (#22697) 2022-03-08 20:49:59 +01:00
_weight_boosting.py DOC Update documentation of weight boosting estimators w/ ranges (#22155) 2022-01-24 19:48:25 +01:00
setup.py ENH Replace loss module HGBT (#20811) 2022-01-11 15:02:41 -05:00