<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Regularized Greedy Forest</dc:title>
  <dc:title>R package RGF version 1.1.1</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest' &lt;https://github.com/RGF-team/rgf/tree/master/python-package&gt; 'python' package, which also includes a Multi-core implementation (FastRGF) &lt;https://github.com/RGF-team/rgf/tree/master/FastRGF&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.2.0)</dc:relation>
  <dc:relation>Imports: reticulate, R6, Matrix</dc:relation>
  <dc:relation>Suggests: testthat, covr, knitr, rmarkdown</dc:relation>
  <dc:creator>Lampros Mouselimis &lt;mouselimislampros@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lampros Mouselimis [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-8024-1546&gt;),
  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)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=RGF/LICENSE)</dc:rights>
  <dc:date>2022-09-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RGF</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RGF</dc:identifier>
</oai_dc:dc>
