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) .

Documentation

Manual: deepboost.pdf
Vignette: None available.

Maintainer: Daniel Marcous <dmarcous at gmail.com>

Author(s): Daniel Marcous*, Yotam Sandbank*, Google Inc.*

Install package and any missing dependencies by running this line in your R console:

install.packages("deepboost")

Depends R (>= 3.1)
Imports Rcpp(>=0.12.2), methods
Suggests testthat, ada, caret
Enhances
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Package deepboost
Materials
URL https://github.com/dmarcous/CRAN_deepboost
Task Views
Version 0.1.5
Published 2016-12-29
License Apache License (== 2.0)
BugReports https://github.com/dmarcous/CRAN_deepboost/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks deepboost check results
Package source deepboost_0.1.5.tar.gz