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.