Version 0.4
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Go forth!

New features
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* Support early stopping of optimization loop.
* Benchmarking scripts to evaluate performance of different surrogate models.
* Support for parallel evaluations of the objective function via several   constant liar strategies.
* BayesSearchCV as a drop in replacement for scikit-learn's GridSearchCV.
* New acquisition functions "EIps" and "PIps" that takes into account function compute time.

Bug fixes
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* Fixed inference of dimensions of type Real.

API changes
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* Change interface of GradientBoostingQuantileRegressor's predict method to match return type of other regressors
* Dimensions of type Real are now inclusive of upper bound.
