Regularized Greedy Forest

Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' <> 'python' package, which also includes a Multi-core implementation (FastRGF) <>.


Reference manual

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1.0.4 by Lampros Mouselimis, a month ago

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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