Published June 30, 2023
| Version 1.3.0
Software
Open
scikit-learn/scikit-learn: Scikit-learn 1.3.0
Authors/Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort3
- Gilles Louppe4
- Thomas J. Fan5
- Peter Prettenhofer
- Mathieu Blondel6
- Vlad Niculae7
- Joel Nothman8
- Arnaud Joly
- Guillaume Lemaitre9
- Jake Vanderplas10
- Loïc Estève
- Jérémie du Boisberranger
- manoj kumar11
- Hanmin Qin12
- Nicolas Hug
- Nelle Varoquaux13
- Robert Layton14
- Jan Hendrik Metzen15
- Adrin Jalali16
- (Venkat) Raghav, Rajagopalan17
- Johannes Schönberger2
- Roman Yurchak
- Julien Jerphanion18
- Tom Dupré la Tour19
- Wei Li20
- Chiara Marmo
- Clay Woolam10
- 1. Inria
- 2. Microsoft
- 3. Meta
- 4. ULiège
- 5. @Quansight-Labs
- 6. Google Research, Brain team
- 7. UvA Language Technology Lab @ltl-uva
- 8. Canva
- 9. Scikit-learn @ Inria foundation
- 10. Google
- 11. Google Brain
- 12. Tencent
- 13. TIMC
- 14. dataPipeline
- 15. @boschresearch
- 16. @huggingface
- 17. Télécom Paristech
- 18. @QuantStack
- 19. UC Berkeley
- 20. Microsoft, NewsBreak, Facebook, Google
Description
We're happy to announce the 1.3.0 release.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.3.html
This version supports Python versions 3.8 to 3.11.
You can upgrade with pip as usual:
pip install -U scikit-learn
The conda-forge builds can be installed using:
conda install -c conda-forge scikit-learn
Files
scikit-learn/scikit-learn-1.3.0.zip
Files
(8.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:940613d6c27074c919e58dc8c9a7790f
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8.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/1.3.0 (URL)