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

Maintenance

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