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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 |
| 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 |
| macOS binaries: | r-release (arm64): purge_0.2.1.tgz, r-oldrel (arm64): purge_0.2.1.tgz, r-release (x86_64): purge_0.2.1.tgz, r-oldrel (x86_64): purge_0.2.1.tgz |
| Old sources: | purge archive |
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These binaries (installable software) and packages are in development.
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