gbts - Hyperparameter Search for Gradient Boosted Trees
An implementation of hyperparameter optimization for
Gradient Boosted Trees on binary classification and regression
problems. The current version provides two optimization
methods: Bayesian optimization and random search. Instead of
giving the single best model, the final output is an ensemble
of Gradient Boosted Trees constructed via the method of
ensemble selection.
