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) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.

Version: 0.1.5
Depends: R (≥ 3.1)
Imports: Rcpp (≥ 0.12.2), methods
LinkingTo: Rcpp
Suggests: testthat, ada, caret
Published: 2016-12-29
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

Downloads:

Reference manual: deepboost.pdf
Package source: deepboost_0.1.5.tar.gz
Windows binaries: r-devel: deepboost_0.1.5.zip, r-release: deepboost_0.1.5.zip, r-oldrel: deepboost_0.1.5.zip
OS X El Capitan binaries: r-release: deepboost_0.1.5.tgz
OS X Mavericks binaries: r-oldrel: deepboost_0.1.5.tgz
Old sources: deepboost archive

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