Package: deepboost
Type: Package
Title: Deep Boosting Ensemble Modeling
Version: 0.1.6
Date: 2017-11-08
Author: Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
Maintainer: Daniel Marcous <dmarcous@gmail.com>
Authors@R: c(
    person("Daniel", "Marcous", email = "dmarcous@gmail.com", role = c("aut","cre")),
    person("Yotam", "Sandbank", email = "yotamsandbank@gmail.com", role = "aut"),
    person("Google Inc.", role = "cph")
  )
Description: 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>.
URL: https://github.com/dmarcous/CRAN_deepboost
BugReports: https://github.com/dmarcous/CRAN_deepboost/issues
License: Apache License (== 2.0)
LazyData: TRUE
Suggests: testthat, ada, caret
Depends: R (>= 3.1)
Imports: Rcpp (>= 0.12.2), methods
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-08 18:07:09 UTC; dmarcous
Repository: CRAN
Date/Publication: 2017-11-08 18:22:33 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 02:49:10 UTC; windows
Archs: i386, x64
