DidacticBoost

Package: DidacticBoost
Type: Package
Title: A Simple Implementation and Demonstration of Gradient Boosting
Version: 0.1.1
Date: 2016-04-19
Authors@R: person("David", "Shaub", email = "davidshaub@gmx.com", role = c("aut", "cre"))
Description: A basic, clear implementation of tree-based gradient boosting
designed to illustrate the core operation of boosting models. Tuning
parameters (such as stochastic subsampling, modified learning rate, or
regularization) are not implemented. The only adjustable parameter is the
number of training rounds. If you are looking for a high performance boosting
implementation with tuning parameters, consider the 'xgboost' package.
License: GPL-3
Depends: R (>= 3.1.1), rpart (>= 4.1-10)
Suggests: testthat
URL: https://github.com/dashaub/DidacticBoost
BugReports: https://github.com/dashaub/DidacticBoost/issues
ByteCompile: true
NeedsCompilation: no
LazyData: TRUE
RoxygenNote: 5.0.1
Packaged: 2016-04-19 01:46:08 UTC; david
Author: David Shaub [aut, cre]
Maintainer: David Shaub <davidshaub@gmx.com>
Repository: CRAN
Date/Publication: 2016-04-19 08:11:59

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'DidacticBoost' ...
** package 'DidacticBoost' successfully unpacked and MD5 sums checked
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'DidacticBoost'
    finding HTML links ... done
    fitBoosted                              html  
    is.boosted                              html  
    predict.boosted                         html  
** building package indices
** testing if installed package can be loaded
* DONE (DidacticBoost)
Making 'packages.html' ... done