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Published February 5, 2018 | Version v0.5
Software Open

scikit-optimize/scikit-optimize: High five - v0.5

Creators

  • 1. Wild Tree Tech
  • 2. Google Brain
  • 3. ULiège
  • 4. Saarland University
  • 5. NASA
  • 6. @yldio
  • 7. Politecnico di Milano
  • 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. CytoVale | Carnegie Melon University
  • 14. Columbia University
  • 15. Paderborn University
  • 16. Sellpy
  • 17. @point8
  • 18. 10clouds
  • 19. Columbia University Data Science Institute
  • 20. DFKI

Description

Version 0.5

High five!

New features
  • Single element dimension definition, which can be used to fix the value of a dimension during optimization.
  • total_iterations property of BayesSearchCV that counts total iterations needed to explore all subspaces.
  • Add iteration event handler for BayesSearchCV, useful for early stopping inside BayesSearchCV search loop.
  • Added utils.use_named_args decorator to help with unpacking named dimensions when calling an objective function.
Bug fixes
  • Removed redundant estimator fitting inside BayesSearchCV.
  • Fixed the log10 transform for Real dimensions that would lead to values being out of bounds.

Files

scikit-optimize/scikit-optimize-v0.5.zip

Files (1.4 MB)

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md5:00a69cf223e9e2b52fcb766d1f724177
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Additional details

Related works

Is supplement to
https://github.com/scikit-optimize/scikit-optimize/tree/v0.5 (URL)