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Published April 21, 2018 | Version v0.12.0
Software Open

rasbt/mlxtend: Version 0.12.0

  • 1. Michigan State University
  • 2. @WIPACrepo
  • 3. @infostellarinc
  • 4. Predikto Inc.
  • 5. IRIC @major-lab
  • 6. FANSI Motorsport
  • 7. Easy Solutions
  • 8. @adobe-platform
  • 9. @Workable
  • 10. LPI ASC
  • 11. Saarland University
  • 12. millesime.ai
  • 13. @betteroutcomes
  • 14. Textkernel
  • 15. STM
  • 16. @spacetelescope

Description

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New Features
  • A new feature_importance_permuation function to compute the feature importance in classifiers and regressors via the permutation importance method (#358)
  • The fit method of the ExhaustiveFeatureSelector now optionally accepts **fit_params for the estimator that is used for the feature selection. (#354 by Zach Griffith)
  • The fit method of the SequentialFeatureSelector now optionally accepts **fit_params for the estimator that is used for the feature selection. (#350 by Zach Griffith)
Changes
  • Replaced plot_decision_regions colors by a colorblind-friendly palette and adds contour lines for decision regions. (#348)
  • All stacking estimators now raise NonFittedErrors if any method for inference is called prior to fitting the estimator. (#353)
  • Renamed the refit parameter of both the StackingClassifier and StackingCVClassifier to use_clones to be more explicit and less misleading. (#368)
Bug Fixes
  • Various changes in the documentation and documentation tools to fix formatting issues (#363)
  • Fixes a bug where the StackingCVClassifier's meta features were not stored in the original order when shuffle=True (#370)
  • Many documentation improvements, including links to the User Guides in the API docs (#371)

Files

rasbt/mlxtend-v0.12.0.zip

Files (10.8 MB)

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Additional details

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