Published October 25, 2023
| Version 1.3.2
Software
Open
scikit-learn/scikit-learn: Scikit-learn 1.3.2
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort3
- Gilles Louppe4
- Thomas J. Fan
- Peter Prettenhofer
- Mathieu Blondel5
- Vlad Niculae6
- Joel Nothman7
- Arnaud Joly
- Guillaume Lemaitre8
- Loïc Estève
- Jake Vanderplas9
- Jérémie du Boisberranger
- manoj kumar10
- Hanmin Qin11
- Nicolas Hug
- Nelle Varoquaux12
- Robert Layton13
- Adrin Jalali14
- Jan Hendrik Metzen15
- (Venkat) Raghav, Rajagopalan16
- Johannes Schönberger2
- Roman Yurchak
- Julien Jerphanion17
- Tom Dupré la Tour18
- Wei Li19
- Lucy Liu
- Chiara Marmo20
- 1. Inria
- 2. Microsoft
- 3. Meta
- 4. ULiège
- 5. Google DeepMind
- 6. UvA Language Technology Lab @ltl-uva
- 7. Canva
- 8. Scikit-learn @ Inria foundation
- 9. Google
- 10. Google Brain
- 11. Tencent
- 12. TIMC
- 13. dataPipeline
- 14. @huggingface
- 15. @boschresearch
- 16. Télécom Paristech
- 17. @QuantStack
- 18. UC Berkeley
- 19. Microsoft, NewsBreak, Facebook, Google
- 20. Paris Saclay University
Description
We're happy to announce the 1.3.2 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2
This version supports Python versions 3.8 to 3.12.
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-1.3.2.zip
Files
(8.5 MB)
Name | Size | Download all |
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md5:817bc3625e08fdeea1cf600a15a7e6b7
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8.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/scikit-learn/scikit-learn/tree/1.3.2 (URL)