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.

Getting started

Package details

AuthorWaley W. J. Liang
MaintainerWaley W. J. Liang <>
LicenseGPL (>= 2) | file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the gbts package in your browser

Any scripts or data that you put into this service are public.

gbts documentation built on May 2, 2019, 9:42 a.m.