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Software Open Access

rasbt/mlxtend: Version 0.18.0

Sebastian Raschka; James Bourbeau; Reiichiro Nakano; Kota Mori; Zach Griffith; JJLWHarrison; Will McGinnis; Jakub Šmíd; Daniel; Guillaume Poirier-Morency; Qiang Gu; Colin; Floris Hoogenboom; Steve Harenberg; Vahid MIRJALILI; Denis Barbier; Alejandro Correa Bahnsen; Gabriel Azevedo Ferreira; Janpreet Singh; Laurens Geffert; Oliver Tomic; Pablo Fernandez; Christos Aridas; Selay; Ackerley Tng; Adam Cooper; Adam Erickson; Adam Li; Ajinkya Kale; Anebi

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 to mlxtend.plotting.heatmap() to optionally suppress cell annotations by setting cell_values=False. (#703
  • Implemented both use_clones and fit_base_estimators (previously refit in EnsembleVoteClassifier) for EnsembleVoteClassifier and StackingClassifier. (#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 in no_information_rate function used by the bootstrap_point632_score function for the .632+ estimate. (#688)
  • Fixes an issue in fpmax that could lead to incorrect support values. (#692 via Steve Harenberg)
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