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.