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Published January 19, 2019 | Version v0.15.0
Software Open

rasbt/mlxtend: Version 0.15.0

Authors/Creators

  • 1. UW-Madison
  • 2. @WIPACrepo @Quansight
  • 3. @infostellarinc
  • 4. @WIPACrepo
  • 5. Predikto Inc.
  • 6. IRIC @major-lab
  • 7. KI Labs Gmbh
  • 8. Michigan State University
  • 9. FANSI Motorsport
  • 10. Norwegian University of Life Sciences
  • 11. Easy Solutions
  • 12. Amazon AWS
  • 13. millesime.ai
  • 14. Hospital IQ
  • 15. Textkernel
  • 16. @Lab41
  • 17. STM
  • 18. @spacetelescope

Description

New Features
  • Adds a new transformer class to mlxtend.image, EyepadAlign, that aligns face images based on the location of the eyes. (#466 by Vahid Mirjalili)
  • Adds a new function, mlxtend.evaluate.bias_variance_decomp that decomposes the loss of a regressor or classifier into bias and variance terms. (#470)
  • Adds a whitening parameter to PrincipalComponentAnalysis, to optionally whiten the transformed data such that the features have unit variance. (#475)
Changes
  • Changed the default solver in PrincipalComponentAnalysis to 'svd' instead of 'eigen' to improve numerical stability. (#474)
  • The mlxtend.image.extract_face_landmarks now returns None if no facial landmarks were detected instead of an array of all zeros. (#466)
Bug Fixes
  • The eigenvectors maybe have not been sorted in certain edge cases if solver was 'eigen' in PrincipalComponentAnalysis and LinearDiscriminantAnalysis. (#477, #478)

Files

rasbt/mlxtend-v0.15.0.zip

Files (41.4 MB)

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md5:ffa2a6d3c231b3b5571d8dcfe38a0c48
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Additional details

Related works

Is supplement to
https://github.com/rasbt/mlxtend/tree/v0.15.0 (URL)