alan-turing-institute/MLJ.jl: v0.18.0
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. 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. Google
- 10. IMPA
- 11. @evalparse
- 12. SecondSpectrum
- 13. GLOBE Institute
- 14. @JuliaComputing
- 15. Kalyani Government Engineering College
- 16. NISER, HBNI
Description
This release supports changes appearing in the upstream package releases listed below (click on package for detailed release notes).
The principal change, which is breaking, is how model
serialization works. The previous MLJ.save method still works, but
you can only save to Julia JLS files, and the format is
new and not backwards compatible. A new workflow allows for
serialization using any generic serializer; serialization now plays
nicely with model composition and model wrappers, such as TunedModel
and EnsembleModel, and training data will not be inadvertently
serialized.
Refer to this manual page details.
The package MLJSerialization has been dropped as a dependency as serialization functionality has moved to MLJBase.
Closed issues:
- Use of
ScientificTypesandCategoricalArraysin native model (#907) - Broken tutorial link (#917)
- For a 0.18 release (#920)
Merged pull requests:
- More doc updates and new example (#914) (@ablaom)
- Documentation update. No new release. (#916) (@ablaom)
- Address changes in MLJBase 0.20 (#921) (@ablaom)
- Update manual to reflect changes in MLJBase 0.20 (#922) (@ablaom)
- For a 0 point 18 release (#924) (@ablaom)
- For a 0.18 release (#925) (@ablaom)
Files
alan-turing-institute/MLJ.jl-v0.18.0.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/v0.18.0 (URL)