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 stategies.

  • 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.