Published June 29, 2020
| Version v0.12.0
Software
Open
alan-turing-institute/MLJ.jl: v0.12.0
Creators
- Anthony Blaom, PhD1
- Thibaut Lienart2
- Yiannis Simillides
- Diego Arenas
- vollmersj
- Okon Samuel3
- Mosè Giordano4
- Ayush Shridhar5
- Ayush Shridhar6
- Ed
- Julian Samaroo
- azev777
- swenkel
- Júlio Hoffimann8
- evalparse9
- Dilum Aluthge10
- Kevin Squire11
- Michael Krabbe Borregaard12
- sjvollmer
- Shuhei Kadowaki13
- Cédric St-Jean14
- Evelina Gabasova15
- Julia TagBot
- Kryohi
- Nils16
- Robert Hönig17
- Venkateshprasad
- Ashrya Agrawal18
- lhnguyen-vn
- pshashk
- 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 v0.12.0
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: 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)
Files
alan-turing-institute/MLJ.jl-v0.12.0.zip
Files
(3.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:dbe9b1e8ed5ddc58c90527a200d4500b
|
3.9 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/alan-turing-institute/MLJ.jl/tree/v0.12.0 (URL)