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Releases: holgern/scikit-optimize

Version 0.10.2

04 Jun 18:09
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What's Changed

New Contributors

Full Changelog: v0.10.1...v0.10.2

Version 0.10.1

14 Mar 17:17
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Full Changelog: v0.10.0...v0.10.1

  • Fix Typo in skopt/space/space.py

v0.10.0

11 Mar 12:41
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This release includes almost all open PR from the original repository since 2020. The original scikit-optimize repo is now archived, I will continue development on https://github.com/holgern/scikit-optimize. Please add issues and PRs here.

  • Feature Add support for multimetric scoring to :obj:skopt.searchcv.BayesSearchCV.
  • Feature Evaluate random point instead of using point twice in :obj:skopt.optimizer.Optimizer.
  • Feature :obj:skopt.callback.CheckpointSaver can now recycle previous function evaluations
  • Feature finish CI move to GHA
  • Fix Keep order of variables in LabelEncoder
  • Feature add from_df method to Space class
  • Fix Fix :obj:skopt.plots.plot_evaluations incorrectly handling dimensions
    as categorical dimensions when constant dimension are ignored due to wrong
    indexing.
  • Fix Improved Bayesian Optimization documentation
  • Fix Replace occurrences of mse with squared_error
  • Fix numpy.int issue
  • Feature add standard deviation Stopper for Gaussian process
  • Feature Implement MES and PVRS acquisition functions.
  • Fix Fix tuple index out of range on plot
  • Fix Fixes Grid sampling with border="only"
  • Fix Update plot_evaluations param
  • Fix Fix plot_gaussian_process not working with ps-acquisition
  • Feature Make Real and Integer raise error when prior is log-uniform and bounds contain zero
  • Fix Better use proper parsing of the scikit-learn version numbers.
  • Feature Test DeltaYStopper with minimize functions fixes
  • Fix dimension mismatch with gp_minimize in Matern kernel when nu=0.5
  • Fix GPR with noise fix
  • Feature Add constrained optimization
  • Feature Add 'ax' argument to all plotting functions
  • API Improve and tighten the inference of skopt.space.space.Dimension
    objects from tuple, dict and numpy array. See the documentation of
    skopt.space.space.check_dimension for details. The old behavior is
    retained for a transitionary period; a warning is raised if the inference
    would change under the new scheme.
  • Minor documentation improvements.
  • Various small bugs and fixes.

v0.10rc3

11 Mar 11:25
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v0.10rc3 Pre-release
Pre-release

Prerelase for v0.10.0

v0.10rc2

11 Mar 09:42
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v0.10rc2 Pre-release
Pre-release

Release candidate for v0.10

v0.10rc1

11 Mar 09:30
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v0.10rc1 Pre-release
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Release candidate for v0.10.