Published July 3, 2024
| Version 1.5.1
Software
Open
scikit-learn/scikit-learn: Scikit-learn 1.5.1
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort3
- Gilles Louppe4
- Thomas J. Fan5
- Peter Prettenhofer
- Mathieu Blondel6
- Vlad Niculae7
- Joel Nothman8
- Guillaume Lemaitre9
- Arnaud Joly
- Loïc Estève9
- Jérémie du Boisberranger10
- Jake Vanderplas11
- manoj kumar12
- Hanmin Qin13
- Nicolas Hug
- Adrin Jalali14
- Nelle Varoquaux15
- Robert Layton16
- (Venkat) Raghav, Rajagopalan17
- Johannes Schönberger2
- Lucy Liu
- Julien Jerphanion18
- Roman Yurchak
- Christian Lorentzen
- Tom Dupré la Tour19
- Wei Li20
- Chiara Marmo21
- 1. probabl.ai
- 2. Microsoft
- 3. Meta
- 4. ULiège
- 5. @unionai
- 6. Google DeepMind
- 7. UvA Language Technology Lab @ltl-uva
- 8. Canva
- 9. Open-source engineer @probabl-ai
- 10. Open-source engineer @ :probabl.
- 11. Google
- 12. Google Brain
- 13. Tencent
- 14. @probabl-ai
- 15. TIMC
- 16. dataPipeline
- 17. Télécom Paristech
- 18. @QuantStack
- 19. OpenAI
- 20. Microsoft, NewsBreak, Facebook, Google
- 21. Paris Saclay University
Description
We're happy to announce the 1.5.1 release.
This release contains fixes for a few regressions introduced in 1.5.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1
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
Thanks to everyone who contributed to this release !
Files
scikit-learn/scikit-learn-1.5.1.zip
Files
(7.7 MB)
Name | Size | Download all |
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md5:a9c178a3d8432a22392146dedb0812ce
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Additional details
Related works
- Is supplement to
- Software: https://github.com/scikit-learn/scikit-learn/tree/1.5.1 (URL)