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deepboost  

Deep Boosting Ensemble Modeling
View on CRAN: Click here


Download and install deepboost package within the R console
Install from CRAN:
install.packages("deepboost")

Install from Github:
library("remotes")
install_github("cran/deepboost")

Install by package version:
library("remotes")
install_version("deepboost", "0.1.6")



Attach the package and use:
library("deepboost")
Maintained by
Daniel Marcous
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-01
Latest Update: 2023-01-25
Description:
Provides deep boosting models training evaluation predicting andhyper parameter optimising using grid search and cross validation.Based on Googles Deep Boosting algorithm and Googles C implementation.Cortes C. Mohri M. Syed U. 2014 httpmachinelearning.wustl.edumlpaperspapersicml2014c2cortesb14.
How to cite:
Daniel Marcous (2016). deepboost: Deep Boosting Ensemble Modeling. R package version 0.1.6, https://cran.r-project.org/web/packages/deepboost. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.1.3 (2016-03-01 18:41), 0.1.4 (2016-03-02 12:15), 0.1.5 (2016-12-29 11:52), 0.1.6 (2017-11-08 19:22)
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Functions, R codes and Examples using the deepboost R package
Full deepboost package functions and examples
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