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# 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`