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>.

Getting started

Package details

AuthorDaniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
MaintainerDaniel Marcous <[email protected]>
LicenseApache License (== 2.0)
Version0.1.6
URL https://github.com/dmarcous/CRAN_deepboost
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("deepboost")

Try the deepboost package in your browser

Any scripts or data that you put into this service are public.

deepboost documentation built on Nov. 17, 2017, 6:53 a.m.