File: v0.6.rst

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scikit-optimize 0.10.2-4
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.. currentmodule:: skopt


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`