There is a newer version of the record available.

Published November 10, 2018 | Version v0.14.0
Software Open

rasbt/mlxtend: Version 0.14.0

Authors/Creators

  • 1. UW-Madison
  • 2. @WIPACrepo
  • 3. @infostellarinc
  • 4. Predikto Inc.
  • 5. IRIC @major-lab
  • 6. FANSI Motorsport
  • 7. Norwegian University of Life Sciences
  • 8. Easy Solutions
  • 9. LPI ASC
  • 10. Saarland University
  • 11. millesime.ai
  • 12. @betteroutcomes
  • 13. Textkernel
  • 14. @Lab41
  • 15. STM
  • 16. @spacetelescope

Description

New Features
  • Added a scatterplotmatrix function to the plotting module. (#437)
  • Added sample_weight option to StackingRegressor, StackingClassifier, StackingCVRegressor, StackingCVClassifier, EnsembleVoteClassifier. (#438)
  • Added a RandomHoldoutSplit class to perform a random train/valid split without rotation in SequentialFeatureSelector, scikit-learn GridSearchCV etc. (#442)
  • Added a PredefinedHoldoutSplit class to perform a train/valid split, based on user-specified indices, without rotation in SequentialFeatureSelector, scikit-learn GridSearchCV etc. (#443)
  • Created a new mlxtend.image submodule for working on image processing-related tasks. (#457)
  • Added a new convenience function extract_face_landmarks based on dlib to mlxtend.image. (#458)
  • Added a method='oob' option to the mlxtend.evaluate.bootstrap_point632_score method to compute the classic out-of-bag bootstrap estimate (#459)
  • Added a method='.632+' option to the mlxtend.evaluate.bootstrap_point632_score method to compute the .632+ bootstrap estimate that addresses the optimism bias of the .632 bootstrap (#459)
  • Added a new mlxtend.evaluate.ftest function to perform an F-test for comparing the accuracies of two or more classification models. (#460)
  • Added a new mlxtend.evaluate.combined_ftest_5x2cv function to perform an combined 5x2cv F-Test for comparing the performance of two models. (#461)
  • Added a new mlxtend.evaluate.difference_proportions test for comparing two proportions (e.g., classifier accuracies) (#462)
Changes
  • Addressed deprecations warnings in NumPy 0.15. (#425)
  • Because of complications in PR (#459), Python 2.7 was now dropped; since official support for Python 2.7 by the Python Software Foundation is ending in approx. 12 months anyways, this re-focussing will hopefully free up some developer time with regard to not having to worry about backward compatibility
Bug Fixes
  • Fixed an issue with a missing import in mlxtend.plotting.plot_confusion_matrix. (#428)

Files

rasbt/mlxtend-v0.14.0.zip

Files (12.5 MB)

Name Size Download all
md5:02131b02402624acbb7e6d5ea410ee04
12.5 MB Preview Download

Additional details

Related works

Is supplement to
https://github.com/rasbt/mlxtend/tree/v0.14.0 (URL)