purge: Purge Training Data from Models

Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.

Version: 0.2.1
Imports: methods
Suggests: testthat, survival, lme4 (≥ 1.1-8), ranger, randomForest, rpart
Published: 2017-02-12
Author: Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut] (http://datascience.massmutual.com)
Maintainer: Marc Maier <mmaier at massmutual.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: purge results

Downloads:

Reference manual: purge.pdf
Package source: purge_0.2.1.tar.gz
Windows binaries: r-devel: purge_0.2.1.zip, r-release: purge_0.2.1.zip, r-oldrel: purge_0.2.1.zip
OS X Mavericks binaries: r-release: purge_0.2.1.tgz, r-oldrel: purge_0.2.1.tgz
Old sources: purge archive

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