Published December 25, 2021
| Version 1.0.2
Software
Open
scikit-learn/scikit-learn: scikit-learn 1.0.2
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort1
- Gilles Louppe3
- Peter Prettenhofer
- Mathieu Blondel4
- Vlad Niculae5
- Joel Nothman6
- Arnaud Joly
- Thomas J. Fan7
- Jake Vanderplas8
- Guillaume Lemaitre9
- manoj kumar10
- Hanmin Qin
- Loïc Estève
- Nicolas Hug
- Nelle Varoquaux11
- Robert Layton12
- Jan Hendrik Metzen13
- Adrin Jalali14
- (Venkat) Raghav, Rajagopalan15
- Jérémie du Boisberranger
- Johannes Schönberger2
- Roman Yurchak
- Wei Li16
- Tom Dupré la Tour17
- Clay Woolam8
- Kemal Eren
- Eustache
- 1. Inria
- 2. Microsoft
- 3. ULiège
- 4. Google Research, Brain team
- 5. UvA Language Technology Lab @ltl-uva
- 6. Sydney Informatics Hub, University of Sydney
- 7. @Quansight-Labs
- 8. Google
- 9. Scikit-learn @ Inria foundation
- 10. Google Brain
- 11. TIMC-IMAG
- 12. dataPipeline
- 13. @boschresearch
- 14. Zalando SE
- 15. Télécom Paristech
- 16. NewsBreak, Facebook, Google
- 17. UC Berkeley
Description
We're happy to announce the 1.0.2 release with several bugfixes:
You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-2
You can upgrade with pip as usual:
pip install -U scikit-learn
The conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-learn
Files
scikit-learn/scikit-learn-1.0.2.zip
Files
(7.6 MB)
Name | Size | Download all |
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md5:45baaccdfd5c6f73daa19fa11d6cb912
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Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/1.0.2 (URL)