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Published July 13, 2020 | Version v0.11.6
Software Open

alan-turing-institute/MLJ.jl: v0.11.6

  • 1. NeSI/Alan Turing Institute
  • 2. AWS
  • 3. Schneider and Schroeder Services LTD
  • 4. @UCL-RITS
  • 5. @OpenMainframeProject
  • 6. IIIT Bhubaneswar
  • 7. Zicklin School of Business, Baruch College
  • 8. IBM Research
  • 9. @evalparse
  • 10. Brown University
  • 11. SecondSpectrum
  • 12. GLOBE Institute
  • 13. Recruit Co., Ltd.
  • 14. r2.ca
  • 15. The Alan Turing Institute
  • 16. Queen Mary, University of London
  • 17. University of Cambridge
  • 18. @bitsacm

Description

MLJ v0.11.6

Diff since v0.11.5

Patch removing redundant files causing problems for Windows #591

Closed issues:

  • Integrate flux models (#33)
  • Conflict w Scikitlearn.jl (#502)
  • Accessing nested machines is (still) awkward (#553)
  • Standardization of multi-targets (#568)
  • Add note at MLJ landing page that MLJ wraps a majority of sk-learn models (#573)
  • OpenML integration: Columns as Symbols (#579)
  • OpenML integration: Kmeans is not fitting (#580)

Merged pull requests:

  • export brier_score (#572) (@OkonSamuel)
  • Add binder notebooks to the repo (#577) (@darenasc)
  • Add MLJFlux to Model List, alphabetize model list (#578) (@azev77)
  • For a 0.12.0 release (#581) (@ablaom)
  • For a 0.12.0 release (#582) (@ablaom)
  • links to mybinder.org added (#585) (@darenasc)
  • Sanitize filename of workflows_learning_curves.png to fix git checkouts on Windows (#595) (@Sh4pe)

Files

alan-turing-institute/MLJ.jl-v0.11.6.zip

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