Published December 22, 2020
| Version 0.24.0
Software
Open
scikit-learn/scikit-learn: scikit-learn 0.24.0
Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort1
- Gilles Louppe3
- Peter Prettenhofer
- Mathieu Blondel4
- Vlad Niculae5
- Joel Nothman6
- Arnaud Joly
- Thomas J. Fan
- Jake Vanderplas7
- manoj kumar8
- Hanmin Qin
- Nicolas Hug
- Nelle Varoquaux9
- Loïc Estève
- Robert Layton10
- Jan Hendrik Metzen11
- Guillaume Lemaitre12
- Noel Dawe
- Adrin Jalali13
- (Venkat) Raghav, Rajagopalan14
- Johannes Schönberger2
- Roman Yurchak
- Wei Li15
- Clay Woolam7
- Tom Dupré la Tour16
- Kemal Eren
- Jérémie du Boisberranger
- 1. Inria
- 2. Microsoft
- 3. ULiège
- 4. Google Research, Brain team
- 5. UvA IvI
- 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. Zalando SE
- 14. Télécom Paristech
- 15. Tsinghua, Google, Facebook
- 16. UC Berkeley
Description
We're happy to announce the 0.24 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-0
This version supports Python versions 3.6 to 3.9.
Files
scikit-learn/scikit-learn-0.24.0.zip
Files
(8.2 MB)
Name | Size | Download all |
---|---|---|
md5:d6180877ae5f5ff8dc324cfa1b6e90d0
|
8.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/0.24.0 (URL)