The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.2.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | doParallel, doRNG, foreach, gbm, earth |
| Suggests: | testthat |
| Published: | 2017-02-27 |
| Author: | Waley W. J. Liang |
| Maintainer: | Waley W. J. Liang <wliang10 at gmail.com> |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | gbts results |
| Reference manual: | gbts.pdf |
| Package source: | gbts_1.2.0.tar.gz |
| Windows binaries: | r-devel: gbts_1.2.0.zip, r-release: gbts_1.2.0.zip, r-oldrel: gbts_1.2.0.zip |
| macOS binaries: | r-release (arm64): gbts_1.2.0.tgz, r-oldrel (arm64): gbts_1.2.0.tgz, r-release (x86_64): gbts_1.2.0.tgz, r-oldrel (x86_64): gbts_1.2.0.tgz |
| Old sources: | gbts archive |
Please use the canonical form https://CRAN.R-project.org/package=gbts to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.