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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 [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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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.
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