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This repository has been archived by the owner on Feb 28, 2024. It is now read-only.

Releases: scikit-optimize/scikit-optimize

v0.3

13 Feb 12:04
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Third time's a charm.

New features

  • Accuracy improvements of the optimization of the acquisition function
    by pre-selecting good candidates as starting points when
    using acq_optimizer='lbfgs'.
  • Support a ask-and-tell interface. Check out the Optimizer class if you need
    fine grained control over the iterations.
  • Parallelize L-BFGS minimization runs over the acquisition function.
  • Implement weighted hamming distance kernel for problems with only categorical dimensions.
  • New acquisition function gp_hedge that probabilistically chooses one of EI, PI
    or LCB at every iteration depending upon the cumulative gain.

Bug fixes

  • Warnings are now raised if a point is chosen as the candidate optimum multiple
    times.
  • Infinite gradients that were raised in the kernel gradient computation are
    now fixed.
  • Integer dimensions are now normalized to [0, 1] internally in gp_minimize.

API Changes.

  • The default acq_optimizer function has changed from "auto" to "lbfgs"
    in gp_minimize.

v0.2

28 Oct 19:11
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skopt- version 0.2

v0.1

10 Aug 10:35
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First light!