Version 0.6

Highly composite six.

New features

  • plot_regret function for plotting the cumulative regret; The purpose of such plot is to access how much an optimizer is effective at picking good points.

  • CheckpointSaver that can be used to save a checkpoint after each iteration with skopt.dump

  • Space.from_yaml() to allow for external file to define Space parameters

Bug fixes

  • Fixed numpy broadcasting issues in gaussian_ei, gaussian_pi

  • Fixed build with newest scikit-learn

  • Use native python types inside BayesSearchCV

  • Include fit_params in BayesSearchCV refit


  • Added versioneer support, to reduce changes with new version of the skopt