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Published January 19, 2022 | Version v0.17.1
Software Open

alan-turing-institute/MLJ.jl: v0.17.1

  • 1. University of Auckland & Alan Turing Institute
  • 2. Amazon
  • 3. Proline Energy Resoucres Incorporated
  • 4. @UCL-ARC
  • 5. Brown University
  • 6. IIIT Bhubaneswar
  • 7. Zicklin School of Business, Baruch College
  • 8. University of Groningen
  • 9. @PolitecnicodiTorino
  • 10. IMPA
  • 11. @evalparse
  • 12. SecondSpectrum
  • 13. GLOBE Institute
  • 14. Kalyani Government Engineering College
  • 15. NISER, HBNI
  • 16. r2.ca

Description

MLJ v0.17.1

Diff since v0.17.0

  • Programatically export all measure types, aliases and instances, which catches a few previously missed cases (#892)
  • Programatically export almost all model and measure traits (#892)
  • Bump MLJBase requirement to ensure built-in measure instances (eg log_loss) have doc-strings.

Closed issues:

  • Extend model serialization to composite models with a components needing specialised serialization (#678)
  • New measures RSquared and aliases rsq, rsquared need exporting (#880)
  • Re-export all traits. (#888)
  • What does MLJ.save really save? (#889)
  • Programmatically re-export measures and their aliases from MLJBase (#890)

Merged pull requests:

  • Fix typos in Getting Started (#881) (@takuti)
  • Typos in docs. No new release. (#882) (@ablaom)
  • Fix MLJFlux.jl project URL (#883) (@i-aki-y)
  • Broken link fixes in docs. No new release. (#884) (@ablaom)
  • Update examples/lightning_tour/ for MLJ 0.17 (#886) (@ablaom)
  • Added recent measures to src/MLJ.jl (#887) (@sayantan1410)
  • Clean up export of measure-related methods (#892) (@ablaom)
  • For a 0.17.1 release (#893) (@ablaom)

Files

alan-turing-institute/MLJ.jl-v0.17.1.zip

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