rFTRLProximal: FTRL-Proximal Algorithm

An efficient C++ based implementation of "Follow The (Proximally) Regularized Leader" online learning algorithm. This algorithm was proposed in McMahan et al. (2013) <doi:10.1145/2487575.2488200>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: stats, utils, data.table (≥ 1.9.6), Matrix, FeatureHashing, magrittr, foreach, Rcpp, RcppProgress
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: rBayesianOptimization, MLmetrics
Published: 2016-12-27
Author: Author: Yachen Yan [aut, cre]
Maintainer: Yachen Yan <yanyachen21 at gmail.com>
BugReports: http://github.com/yanyachen/rFTRLProximal/issues
License: GPL-2
URL: http://github.com/yanyachen/rFTRLProximal
NeedsCompilation: yes
CRAN checks: rFTRLProximal results


Reference manual: rFTRLProximal.pdf
Package source: rFTRLProximal_1.0.0.tar.gz
Windows binaries: r-devel: rFTRLProximal_1.0.0.zip, r-release: rFTRLProximal_1.0.0.zip, r-oldrel: rFTRLProximal_1.0.0.zip
OS X El Capitan binaries: r-release: rFTRLProximal_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: rFTRLProximal_1.0.0.tgz


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