Published December 3, 2019
| Version 0.22
Software
Open
scikit-learn/scikit-learn: Scikit-learn 0.22.0
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort1
- Gilles Louppe3
- Peter Prettenhofer
- Mathieu Blondel4
- Vlad Niculae5
- Joel Nothman6
- Arnaud Joly
- Jake Vanderplas7
- manoj kumar8
- Hanmin Qin
- Nelle Varoquaux9
- Robert Layton10
- Loïc Estève
- Jan Hendrik Metzen
- Noel Dawe
- Thomas J Fan
- (Venkat) Raghav, Rajagopalan11
- Johannes Schönberger12
- Nicolas Hug
- Guillaume Lemaitre13
- Wei Li14
- Adrin Jalali15
- Clay Woolam7
- Roman Yurchak
- Kemal Eren
- Tom Dupré la Tour9
- Eustache
- 1. Inria
- 2. Columbia University Data Science Institute
- 3. ULiège
- 4. Google Research, Brain team
- 5. Instituto de Telecomunicações
- 6. Sydney Informatics Hub, University of Sydney
- 7. Google
- 8. Google Brain
- 9. UC Berkeley
- 10. dataPipeline
- 11. Télécom Paristech
- 12. Microsoft
- 13. Scikit-learn @ Inria foundation
- 14. Tsinghua, Google, Facebook
- 15. Anaconda Inc.
Description
We're happy to announce the 0.22 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22.
This version supports Python versions 3.5 to 3.8.
Files
scikit-learn/scikit-learn-0.22.zip
Files
(7.7 MB)
Name | Size | Download all |
---|---|---|
md5:0766e8b46224c11bcc7ae731972f5119
|
7.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/0.22 (URL)