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: | 1.0.6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | reticulate, R6, Matrix |
| Suggests: | testthat, covr, knitr, rmarkdown |
| Published: | 2019-01-15 |
| 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 (2.7 or >= 3.4), rgf_python, scikit-learn (>= 0.18.0), scipy, numpy. Detailed installation instructions for each operating system can be found in the README file. |
| Materials: | README NEWS |
| In views: | MachineLearning |
| CRAN checks: | RGF results |
| Reference manual: | RGF.pdf |
| Vignettes: |
Regularized Greedy Forest in R |
| Package source: | RGF_1.0.6.tar.gz |
| Windows binaries: | r-devel: RGF_1.0.6.zip, r-release: RGF_1.0.6.zip, r-oldrel: RGF_1.0.6.zip |
| macOS binaries: | r-release: RGF_1.0.6.tgz, r-oldrel: RGF_1.0.6.tgz |
| Old sources: | RGF archive |
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