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.

agtboost: Adaptive and Automatic Gradient Boosting Computations

Fast and automatic gradient tree boosting designed to avoid manual tuning and cross-validation by utilizing an information theoretic approach. This makes the algorithm adaptive to the dataset at hand; it is completely automatic, and with minimal worries of overfitting. Consequently, the speed-ups relative to state-of-the-art implementations can be in the thousands while mathematical and technical knowledge required on the user are minimized.

Version: 0.9.3
Depends: R (≥ 3.6.0)
Imports: methods, Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppEigen
Suggests: testthat
Published: 2021-11-23
DOI: 10.32614/CRAN.package.agtboost
Author: Berent Ånund Strømnes Lunde
Maintainer: Berent Ånund Strømnes Lunde <lundeberent at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: agtboost results

Documentation:

Reference manual: agtboost.pdf

Downloads:

Package source: agtboost_0.9.3.tar.gz
Windows binaries: r-devel: agtboost_0.9.3.zip, r-release: agtboost_0.9.3.zip, r-oldrel: agtboost_0.9.3.zip
macOS binaries: r-release (arm64): agtboost_0.9.3.tgz, r-oldrel (arm64): agtboost_0.9.3.tgz, r-release (x86_64): agtboost_0.9.3.tgz, r-oldrel (x86_64): agtboost_0.9.3.tgz
Old sources: agtboost archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=agtboost 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.