Package: purge 0.2.1

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.

Authors:Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut]

purge_0.2.1.tar.gz
purge_0.2.1.zip(r-4.7)purge_0.2.1.zip(r-4.6)purge_0.2.1.zip(r-4.5)
purge_0.2.1.tgz(r-4.6-any)purge_0.2.1.tgz(r-4.5-any)
purge_0.2.1.tar.gz(r-4.7-any)purge_0.2.1.tar.gz(r-4.6-any)
purge_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
purge/json (API)

# Install 'purge' in R:
install.packages('purge', repos = c('https://maiermarc.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 6 scripts 141 downloads 6 mentions 1 exports 0 dependencies

Last updated from:cdc9961909. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK134
linux-release-x86_64OK117
macos-release-arm64OK156
macos-oldrel-arm64OK152
windows-develOK73
windows-releaseOK95
windows-oldrelOK74
wasm-releaseOK89

Exports:purge

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Purge training data from a modelpurge purge.coxph purge.default purge.glm purge.glmerMod purge.lm purge.merMod purge.randomForest purge.ranger purge.rpart