RGF: Regularized Greedy Forest

Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <https://github.com/fukatani/rgf_python> 'python' package, which also includes a Multi-core implementation (FastRGF) <https://github.com/baidu/fast_rgf>.

Version: 1.0.2
Depends: R (≥ 3.2.3)
Imports: reticulate, R6, Matrix
Suggests: testthat, covr, knitr, rmarkdown
Published: 2018-04-14
Author: Lampros Mouselimis [aut, cre], Ryosuke Fukatani [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/mlampros/RGF/issues
License: GPL-3
Copyright: inst/COPYRIGHTS
RGF copyright details
URL: https://github.com/mlampros/RGF
NeedsCompilation: no
SystemRequirements: Python (>= 2.7), rgf_python, fast_rgf, scikit-learn (>= 0.19.0), scipy ( >= 1.0.0), numpy ( >= 1.14.0). Detailed installation instructions for each operating system can be found in the README file.
Materials: README NEWS
CRAN checks: RGF results

Downloads:

Reference manual: RGF.pdf
Vignettes: Regularized Greedy Forest in R
Package source: RGF_1.0.2.tar.gz
Windows binaries: r-devel: RGF_1.0.2.zip, r-release: RGF_1.0.2.zip, r-oldrel: RGF_1.0.2.zip
OS X binaries: r-release: RGF_1.0.2.tgz, r-oldrel: not available
Old sources: RGF archive

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