Published July 14, 2022
| Version v0.18.4
Software
Open
alan-turing-institute/MLJ.jl: v0.18.4
Authors/Creators
- Anthony Blaom, PhD1
- Thibaut Lienart2
- Yiannis Simillides
- Diego Arenas
- Okon Samuel3
- vollmersj
- Mosè Giordano4
- Dilum Aluthge5
- Ayush Shridhar
- Ayush Shridhar6
- Ed
- Julian Samaroo
- azev777
- swenkel
- Rik Huijzer8
- LudovicoBessi9
- Júlio Hoffimann10
- evalparse11
- David Muhr
- David Buchaca Prats
- Kevin Squire12
- Michael Krabbe Borregaard13
- oleskiewicz
- sjvollmer
- Shuhei Kadowaki14
- sayantan sadhu15
- Ashish Panigrahi16
- Bas Dirks
- Clarman Cruz
- 1. University of Auckland & Alan Turing Institute
- 2. Amazon
- 3. Softdax Solutions
- 4. @UCL-ARC
- 5. Brown University
- 6. IIIT Bhubaneswar
- 7. Zicklin School of Business, Baruch College
- 8. University of Groningen
- 9. Google
- 10. IMPA
- 11. @evalparse
- 12. SecondSpectrum
- 13. GLOBE Institute
- 14. @JuliaComputing
- 15. Kalyani Government Engineering College
- 16. NISER, HBNI
Description
MLJ v0.18.4
Closed issues:
- Tutorial not working (#951)
- Bump MLJBase compat and re-export
feature_importances(#954)
Merged pull requests:
- Update link for telco example to Data Science Tutorials version (#952) (@ablaom)
- Update API spec re training losses and feature importances (#953) (@ablaom)
- For a 0.18.4 release (#955) (@ablaom)
Files
alan-turing-institute/MLJ.jl-v0.18.4.zip
Files
(5.3 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/alan-turing-institute/MLJ.jl/tree/v0.18.4 (URL)