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 |
| 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 binaries: | r-release: FTRLProximal_0.3.0.tgz, r-oldrel: FTRLProximal_0.3.0.tgz |
| Old sources: | FTRLProximal archive |
Please use the canonical form https://CRAN.R-project.org/package=FTRLProximal to link to this page.