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
Built: R 4.6.0; ; 2026-04-25 18:14:21 UTC; unix
