Published October 22, 2017
| Version 0.19.1
Software
Open
scikit-learn/scikit-learn: 0.19.1
Creators
- Olivier Grisel1
- Andreas Mueller2
- Fabian Pedregosa3
- Lars
- Alexandre Gramfort1
- Gilles Louppe4
- Peter Prettenhofer
- Mathieu Blondel5
- Vlad Niculae6
- Arnaud Joly
- Joel Nothman7
- Jake Vanderplas8
- MechCoder9
- Nelle Varoquaux10
- Robert Layton11
- Jan Hendrik Metzen
- Noel Dawe12
- Loïc Estève
- (Venkat) Raghav, Rajagopalan13
- Johannes Schönberger14
- Denis A. Engemann15
- Wei Li16
- Clay Woolam17
- Kemal Eren
- Eustache
- Alexander Fabisch18
- Alexandre Passos19
- bthirion
- Virgile Fritsch20
- Hamzeh Alsalhi
- 1. Inria
- 2. Columbia University Data Science Institute
- 3. @ucberkeley
- 4. ULiège
- 5. NTT CS Laboratories
- 6. Cornell University
- 7. Sydney Informatics Hub, University of Sydney
- 8. University of Washington
- 9. Google Brain
- 10. UC Berkeley
- 11. dataPipeline
- 12. University of Melbourne
- 13. Télécom Paristech
- 14. ETH Zürich
- 15. INRIA
- 16. Tsinghua, Google
- 17. Google
- 18. DFKI
- 19. UMass
- 20. Inria - Parietal team
Description
scikit-learn: machine learning in Python
Files
scikit-learn/scikit-learn-0.19.1.zip
Files
(6.5 MB)
| Name | Size | Download all |
|---|---|---|
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md5:e63d3af21a04cf2a3744ce37bd4f2484
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6.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-learn/scikit-learn/tree/0.19.1 (URL)