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 |
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: RGF_1.0.2.tgz |
Old sources: | RGF archive |
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