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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RGF to link to this page.
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