Bump mlxtend from 0.17.2 to 0.17.3
Bumps mlxtend from 0.17.2 to 0.17.3.
Release notes
Sourced from mlxtend's releases.
Version 0.17.3
New Features
- Add
predict_proba
kwarg to bootstrap methods, to allow bootstrapping of scoring functions that take in probability values. (#700 via Adam Li)- Add a
cell_values
parameter tomlxtend.plotting.heatmap()
to optionally suppress cell annotations by settingcell_values=False
. (#703Changes
- Implemented both
use_clones
andfit_base_estimators
(previouslyrefit
inEnsembleVoteClassifier
) forEnsembleVoteClassifier
andStackingClassifier
. (#670 via Katrina Ni)- Switched to using raw strings for regex in
mlxtend.text
to prevent deprecation warning in Python 3.8 (#688)- Slice data in sequential forward selection before sending to parallel backend, reducing memory consumption.
Bug Fixes
- Fixes axis DeprecationWarning in matplotlib v3.1.0 and newer. (#673)
- Fixes an issue with using
meshgrid
inno_information_rate
function used by thebootstrap_point632_score
function for the .632+ estimate. (#688)- Fixes an issue in
fpmax
that could lead to incorrect support values. (#692 via Steve Harenberg)
Commits
-
35f9061
V0.18.0 (#711) -
081be59
various documentation improvements (#710) -
ab66722
remove redundant line (#708) -
c928fd2
Forward slection reduce mem copy (#705) -
6dfde8c
cell_values option for heatmap (#703) -
df0feb1
[WIP] Adding predict_proba ability tobootstrap_632
functions (#700) -
727e254
fix eyepad doc (#701) -
57aa05a
Updated appveyor and travis CI for recent software versions (#697) -
1c39940
Use chain.from_iterable in exhaustive_feature_selector.py (#695) -
56944fc
Fix for bug 690, where fpmax returned incorrect support values (#692) - Additional commits viewable in compare view