Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.1) |
| Imports: | Rcpp (≥ 0.12.2), methods |
| LinkingTo: | Rcpp |
| Suggests: | testthat, ada, caret |
| Published: | 2017-11-08 |
| Author: | Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph] |
| Maintainer: | Daniel Marcous <dmarcous at gmail.com> |
| BugReports: | https://github.com/dmarcous/CRAN_deepboost/issues |
| License: | Apache License (== 2.0) |
| URL: | https://github.com/dmarcous/CRAN_deepboost |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | deepboost results |
| Reference manual: | deepboost.pdf |
| Package source: | deepboost_0.1.6.tar.gz |
| Windows binaries: | r-devel: deepboost_0.1.6.zip, r-release: deepboost_0.1.6.zip, r-oldrel: deepboost_0.1.6.zip |
| macOS binaries: | r-release (arm64): deepboost_0.1.6.tgz, r-oldrel (arm64): deepboost_0.1.6.tgz, r-release (x86_64): deepboost_0.1.6.tgz, r-oldrel (x86_64): deepboost_0.1.6.tgz |
| Old sources: | deepboost archive |
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