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RGF: Regularized Greedy Forest

Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/RGF-team/rgf/tree/master/python-package> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/RGF-team/rgf/tree/master/FastRGF>.

Version:1.1.1
Depends:R (≥ 3.2.0)
Imports:reticulate,R6,Matrix
Suggests:testthat,covr,knitr,rmarkdown
Published:2022-09-12
DOI:10.32614/CRAN.package.RGF
Author:Lampros MouselimisORCID iD [aut, cre], Ryosuke Fukatani [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Nikita Titov [cph] (Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm), Tong Zhang [cph] (Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm), Rie Johnson [cph] (Author of the 'Regularized Greedy Forest' machine learning algorithm)
Maintainer:Lampros Mouselimis <mouselimislampros at gmail.com>
BugReports:https://github.com/RGF-team/rgf/issues
License:MIT + fileLICENSE
URL:https://github.com/RGF-team/rgf/tree/master/R-package
NeedsCompilation:no
SystemRequirements:Python (>= 3.7), rgf_python, scikit-learn (>=0.18.0), scipy, numpy. Detailed installation instructions foreach operating system can be found in the README file.
Citation:RGF citation info
Materials:README,NEWS
In views:MachineLearning
CRAN checks:RGF results

Documentation:

Reference manual:RGF.html ,RGF.pdf
Vignettes:Regularized Greedy Forest in R (source,R code)

Downloads:

Package source: RGF_1.1.1.tar.gz
Windows binaries: r-devel:RGF_1.1.1.zip, r-release:RGF_1.1.1.zip, r-oldrel:RGF_1.1.1.zip
macOS binaries: r-release (arm64):RGF_1.1.1.tgz, r-oldrel (arm64):RGF_1.1.1.tgz, r-release (x86_64):RGF_1.1.1.tgz, r-oldrel (x86_64):RGF_1.1.1.tgz
Old sources: RGF archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RGFto link to this page.


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