deepboost: Deep Boosting Ensemble Modeling

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) <>.

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>
License: Apache License (== 2.0)
NeedsCompilation: yes
Materials: README
CRAN checks: deepboost results


Reference manual: deepboost.pdf
Package source: deepboost_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: deepboost_0.1.6.tgz
OS X Mavericks binaries: r-oldrel: deepboost_0.1.6.tgz
Old sources: deepboost archive


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