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 |
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