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# Version 0.4

Go forth!

## New features

- 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

- Fixed inference of dimensions of type Real.

## API changes

- Change interface of GradientBoostingQuantileRegressor’s predict method to match return type of other regressors

- Dimensions of type Real are now inclusive of upper bound.