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
RoxygenNote: 5.0.1
Repository: https://dashaub.r-universe.dev
Date/Publication: 2016-04-19 13:22:07 UTC
RemoteUrl: https://github.com/dashaub/didacticboost
RemoteRef: HEAD
RemoteSha: b24338489a742ce4288065472c325aee11116198
Packaged: 2026-10-15 07:13:09 UTC; root
Author: David Shaub [aut, cre]
Maintainer: David Shaub <davidshaub@gmx.com>