Published May 23, 2019
| Version 0.21.2
Software
Open
scikit-learn/scikit-learn 0.21.2
Authors/Creators
- Olivier Grisel1
- Andreas Mueller2
- Lars
- Alexandre Gramfort1
- Gilles Louppe3
- Peter Prettenhofer
- Mathieu Blondel4
- Vlad Niculae5
- Joel Nothman6
- Arnaud Joly
- Jake Vanderplas7
- MechCoder8
- Nelle Varoquaux9
- Robert Layton10
- Loïc Estève
- Hanmin Qin11
- Jan Hendrik Metzen
- Noel Dawe12
- (Venkat) Raghav, Rajagopalan13
- Johannes Schönberger14
- Wei Li15
- Clay Woolam7
- Kemal Eren
- Eustache
- Alexander Fabisch16
- Alexandre Passos8
- Guillaume Lemaitre
- bthirion
- Virgile Fritsch17
- Hamzeh Alsalhi
- 1. Inria
- 2. Columbia University Data Science Institute
- 3. ULiège
- 4. NTT CS Laboratories
- 5. Instituto de Telecomunicações
- 6. Sydney Informatics Hub, University of Sydney
- 7. Google
- 8. Google Brain
- 9. UC Berkeley
- 10. dataPipeline
- 11. Peking University
- 12. @Shopify
- 13. Télécom Paristech
- 14. Microsoft
- 15. Tsinghua, Google, Facebook
- 16. DFKI
- 17. Inria - Parietal team
Description
scikit-learn: machine learning in Python
Files
scikit-learn/scikit-learn-0.21.2.zip
Files
(7.1 MB)
| Name | Size | Download all |
|---|---|---|
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md5:3eaedc863f5209ca9a022fb1983e8362
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7.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/0.21.2 (URL)