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Published March 25, 2018 | Version v0.5.2
Software Open

scikit-optimize/scikit-optimize: v0.5.2

Creators

  • 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_points from n_jobs in BayesSearchCV.
  • Dimensions now support boolean np.arrays.
Maintenance
  • matplotlib is now an optional requirement (install with pip install 'scikit-optimize[plots]')

Files

scikit-optimize/scikit-optimize-v0.5.2.zip

Files (1.4 MB)

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md5:c7207cb459bf350a4cfb6ef6eff9ce8b
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Additional details

Related works

Is supplement to
https://github.com/scikit-optimize/scikit-optimize/tree/v0.5.2 (URL)