Published May 10, 2021
| Version v0.16.4
Software
Open
alan-turing-institute/MLJ.jl: v0.16.4
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
- LudovicoBessi8
- Júlio Hoffimann9
- evalparse10
- David Buchaca Prats
- Kevin Squire11
- Michael Krabbe Borregaard12
- oleskiewicz
- sjvollmer
- Shuhei Kadowaki13
- Bas Dirks
- Clarman Cruz
- Cédric St-Jean14
- David Nies
- David Weber15
- Evelina Gabasova16
- 1. University of Auckland & Alan Turing Institute
- 2. AWS
- 3. Schneider and Schroeder Services LTD
- 4. @UCL-RITS
- 5. Brown University
- 6. IIIT Bhubaneswar
- 7. Zicklin School of Business, Baruch College
- 8. @PolitecnicodiTorino
- 9. IMPA
- 10. @evalparse
- 11. SecondSpectrum
- 12. GLOBE Institute
- 13. Recruit Co., Ltd.
- 14. r2.ca
- 15. University of California Davis
- 16. The Alan Turing Institute
Description
MLJ v0.16.4
[x] Re-export
BinaryThresholdClassifierfrom MLJModels (for wrapping binary probabilistic classifiers as deterministic classifiers using a user-specified threshold)[x] Extend Distributions compatibility to version 0.25^
Merged pull requests:
- CompatHelper: bump compat for "Distributions" to "0.25" (#784) (@github-actions[bot])
- For a 0.16.4 release (#786) (@ablaom)
Files
alan-turing-institute/MLJ.jl-v0.16.4.zip
Files
(4.2 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/alan-turing-institute/MLJ.jl/tree/v0.16.4 (URL)