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Published July 28, 2020 | Version 0.18.0
Software Open

rasbt/mlxtend: Version 0.18.0

  • 1. UW-Madison
  • 2. @coiled
  • 3. @openai
  • 4. @WIPACrepo
  • 5. Predikto Inc.
  • 6. Blindspot Solutions
  • 7. @PavlidisLab at Michael Smith Laboratories
  • 8. Michigan State University
  • 9. Rappi
  • 10. Nielsen
  • 11. Norwegian University of Life Sciences
  • 12. FANSI Motorsport
  • 13. Code4Thought
  • 14. Centre for Strategic Infocomm Technologies
  • 15. Tribal
  • 16. Eikon Labs

Description

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
Changes
  • 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)

Files

rasbt/mlxtend-0.18.0.zip

Files (16.4 MB)

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