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CHANGELOG.md

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Version 0.1

First light!

New features

  • Bayesian optimization via gp_minimize.
  • Tree-based sequential model-based optimization via forest_minimize and gbrt_minimize, with support for multi-threading.
  • Support of LCB, EI and PI as acquisition functions.
  • Plotting functions for inspecting convergence, evaluations and the objective function.
  • API for specifying and sampling from a parameter space.

Version 0.2

New features

  • Speed improvements when using gp_minimize with acq_optimizer='lbfgs' and acq_optimizer='auto' when all the search-space dimensions are Real.
  • Persistence of minimization results using skopt.dump and skopt.load.
  • Support for using arbitrary estimators that implement a return_std argument in their predict method by means of base_minimize from skopt.optimizer.
  • Support for tuning noise in gp_minimize using the noise argument.
  • TimerCallback in skopt.callbacks to log the time between iterations of the minimization loop.

Contributors

See AUTHORS.md.