Published March 25, 2018
| Version v0.5.2
Software
Open
scikit-optimize/scikit-optimize: v0.5.2
Creators
- Tim Head1
- MechCoder2
- Gilles Louppe3
- Iaroslav Shcherbatyi4
- fcharras
- Zé Vinícius
- cmmalone
- Christopher Schröder
- nel215
- Nuno Campos5
- Todd Young
- Stefano Cereda6
- Thomas Fan
- rene-rex
- Kejia (KJ) Shi7
- Justus Schwabedal8
- carlosdanielcsantos
- Hvass-Labs9
- Mikhail Pak10
- SoManyUsernamesTaken
- Fred Callaway11
- Loïc Estève
- Lilian Besson12
- Mehdi Cherti
- Karlson Pfannschmidt13
- Fabian Linzberger14
- Christophe Cauet15
- Anna Gut16
- Andreas Mueller17
- Alexander Fabisch18
- 1. Wild Tree Tech
- 2. Google Brain
- 3. ULiège
- 4. Saarland University
- 5. @yldio
- 6. Politecnico di Milano
- 7. Columbia University
- 8. Biomedical Informatics Department, Emory School of Medicine
- 9. Hvass Laboratories
- 10. Technical University of Munich
- 11. UC Berkeley
- 12. ENS de Cachan - Paris Saclay University
- 13. Paderborn University
- 14. Toptal
- 15. @point8
- 16. 10clouds
- 17. Columbia University Data Science Institute
- 18. DFKI
Description
Version 0.5.2 Bug fixes
- Separated
n_pointsfromn_jobsinBayesSearchCV. - Dimensions now support boolean np.arrays.
matplotlibis now an optional requirement (install withpip install 'scikit-optimize[plots]')
Files
scikit-optimize/scikit-optimize-v0.5.2.zip
Files
(1.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:c7207cb459bf350a4cfb6ef6eff9ce8b
|
1.4 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/scikit-optimize/scikit-optimize/tree/v0.5.2 (URL)