Regularized Greedy Forest

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>.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("RGF")

1.0.4 by Lampros Mouselimis, a month ago


https://github.com/mlampros/RGF


Report a bug at https://github.com/mlampros/RGF/issues


Browse source code at https://github.com/cran/RGF


Authors: 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)


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports reticulate, R6, Matrix

Suggests testthat, covr, knitr, rmarkdown

System requirements: Python (2.7 or >= 3.4), rgf_python, scikit-learn (>= 0.18.0), scipy ( >= 1.0.0), numpy ( >= 1.14.0). Detailed installation instructions for each operating system can be found in the README file.


See at CRAN