FTRLProximal: FTRL Proximal Implementation for Elastic Net Regression

Implementation of Follow The Regularized Leader (FTRL) Proximal algorithm, proposed by McMahan et al. (2013) <doi:10.1145/2487575.2488200>, used for online training of large scale regression models using a mixture of L1 and L2 regularization.

Version: 0.3.0
Depends: R (≥ 3.2.3)
Imports: Matrix, methods
Suggests: testthat, covr, mlbench
Published: 2017-01-03
Author: Vilhelm von Ehrenheim [aut, cre]
Maintainer: Vilhelm von Ehrenheim <vonehrenheim at gmail.com>
BugReports: https://github.com/while/FTRLProximal/issues
License: MIT + file LICENSE
URL: https://github.com/while/FTRLProximal
NeedsCompilation: yes
Materials: README
CRAN checks: FTRLProximal results

Downloads:

Reference manual: FTRLProximal.pdf
Package source: FTRLProximal_0.3.0.tar.gz
Windows binaries: r-devel: FTRLProximal_0.3.0.zip, r-release: FTRLProximal_0.3.0.zip, r-oldrel: FTRLProximal_0.3.0.zip
OS X El Capitan binaries: r-release: FTRLProximal_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: FTRLProximal_0.3.0.tgz
Old sources: FTRLProximal archive

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