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:
purge_0.2.1.tar.gz
purge_0.2.1.zip(r-4.5)purge_0.2.1.zip(r-4.4)purge_0.2.1.zip(r-4.3)
purge_0.2.1.tgz(r-4.4-any)purge_0.2.1.tgz(r-4.3-any)
purge_0.2.1.tar.gz(r-4.5-noble)purge_0.2.1.tar.gz(r-4.4-noble)
purge_0.2.1.tgz(r-4.4-emscripten)purge_0.2.1.tgz(r-4.3-emscripten)
purge.pdf |purge.html✨
purge/json (API)
# Install 'purge' in R: |
install.packages('purge', repos = c('https://maiermarc.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:cdc9961909. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:purge
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Purge training data from a model | purge purge.coxph purge.default purge.glm purge.glmerMod purge.lm purge.merMod purge.randomForest purge.ranger purge.rpart |