Published August 4, 2020
| Version 0.23.2
Software
Open
scikit-learn/scikit-learn: scikit-learn 0.23.2
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort1
- Gilles Louppe3
- Peter Prettenhofer
- Mathieu Blondel4
- Vlad Niculae5
- Joel Nothman6
- Arnaud Joly
- Jake Vanderplas7
- manoj kumar8
- Thomas J. Fan
- Hanmin Qin
- Nelle Varoquaux9
- Loïc Estève
- Robert Layton10
- Nicolas Hug
- Jan Hendrik Metzen11
- Noel Dawe
- Guillaume Lemaitre12
- Adrin Jalali13
- (Venkat) Raghav, Rajagopalan14
- Johannes Schönberger2
- Roman Yurchak
- Wei Li15
- Clay Woolam7
- Kemal Eren
- Tom Dupré la Tour16
- Eustache
- 1. Inria
- 2. Microsoft
- 3. ULiège
- 4. Google Research, Brain team
- 5. Instituto de Telecomunicações
- 6. Sydney Informatics Hub, University of Sydney
- 7. Google
- 8. Google Brain
- 9. TIMC-IMAG
- 10. dataPipeline
- 11. @boschresearch
- 12. Scikit-learn @ Inria foundation
- 13. Anaconda Inc.
- 14. Télécom Paristech
- 15. Tsinghua, Google, Facebook
- 16. UC Berkeley
Description
We're happy to announce the 0.23.2 release with several bugfixes:
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-2
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-0.23.2.zip
Files
(7.9 MB)
| Name | Size | Download all |
|---|---|---|
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md5:2772eea4d936061e6a5e3df8566ec698
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7.9 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/0.23.2 (URL)