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_probakwarg to bootstrap methods, to allow bootstrapping of scoring functions that take in probability values. (#700 via Adam Li)- Add a
cell_valuesparameter tomlxtend.plotting.heatmap()to optionally suppress cell annotations by settingcell_values=False. (#703Changes
- Implemented both
use_clonesandfit_base_estimators(previouslyrefitinEnsembleVoteClassifier) forEnsembleVoteClassifierandStackingClassifier. (#670 via Katrina Ni)- Switched to using raw strings for regex in
mlxtend.textto 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
meshgridinno_information_ratefunction used by thebootstrap_point632_scorefunction for the .632+ estimate. (#688)- Fixes an issue in
fpmaxthat could lead to incorrect support values. (#692 via Steve Harenberg)
Commits
-
35f9061V0.18.0 (#711) -
081be59various documentation improvements (#710) -
ab66722remove redundant line (#708) -
c928fd2Forward slection reduce mem copy (#705) -
6dfde8ccell_values option for heatmap (#703) -
df0feb1[WIP] Adding predict_proba ability tobootstrap_632functions (#700) -
727e254fix eyepad doc (#701) -
57aa05aUpdated appveyor and travis CI for recent software versions (#697) -
1c39940Use chain.from_iterable in exhaustive_feature_selector.py (#695) -
56944fcFix for bug 690, where fpmax returned incorrect support values (#692) - Additional commits viewable in compare view