Hyperparameter Search for Gradient Boosted Trees R package gbts version 1.2.0 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. Software Depends: R (>= 3.3.0) Imports: doParallel, doRNG, foreach, gbm, earth Suggests: testthat Waley W. J. Liang <wliang10@gmail.com> Comprehensive R Archive Network (CRAN) Waley W. J. Liang GPL (>= 2) file LICENSE (https://CRAN.R-project.org/package=gbts/LICENSE) 2017-02-27 application/tgz https://CRAN.R-project.org/package=gbts doi:10.32614/CRAN.package.gbts