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 Mouselimis ORCID 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 + file LICENSE
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 for each operating system can be found in the README file.
Citation: RGF citation info
Materials: README NEWS
In views: MachineLearning
CRAN checks: RGF results


Reference manual: RGF.pdf
Vignettes: Regularized Greedy Forest in R


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


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