gbts: Hyperparameter Search for Gradient Boosted Trees
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.

Getting started

Package details

AuthorWaley W. J. Liang
Date of publication2017-02-27 08:41:32
MaintainerWaley W. J. Liang <[email protected]>
LicenseGPL (>= 2) | file LICENSE
Version1.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gbts")

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gbts documentation built on May 30, 2017, 1:05 a.m.