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
 [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 |
Documentation:
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