scikit-learn/sklearn/tree
Loïc Estève c217527af5
FIX fix performance regression in trees with low-cardinality features (#23410)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
2022-05-19 09:48:29 +02:00
..
tests ENH add criterion log_loss as alternative to entropy in trees and forests (#23047) 2022-04-14 08:03:01 +02:00
__init__.py MNT Applies black formatting to most of the code base (#18948) 2021-06-17 14:21:09 -04:00
_classes.py MAINT Fix some typos (#23251) 2022-04-30 15:03:40 -04:00
_criterion.pxd MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_criterion.pyx MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_export.py FIX Fixes plot_tree from going out of bounds (#21917) 2021-12-08 14:04:06 +01:00
_reingold_tilford.py MNT Applies black formatting to most of the code base (#18948) 2021-06-17 14:21:09 -04:00
_splitter.pxd MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_splitter.pyx FIX fix performance regression in trees with low-cardinality features (#23410) 2022-05-19 09:48:29 +02:00
_tree.pxd MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_tree.pyx MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_utils.pxd MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
_utils.pyx MNT Use cimport numpy as cnp for sklearn/tree (#23315) 2022-05-14 16:04:01 -04:00
setup.py MNT Use C++ stack instead of implementing our own in trees (#22328) 2022-02-25 17:54:54 +01:00