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Typically, models in 'R' exist in memory and can be saved via regular 'R' serialization. However, some models store information in locations that cannot be saved using 'R' serialization alone. The goal of 'bundle' is to provide a common interface to capture this information, situate it within a portable object, and restore it for use in new settings.
Version: | 0.1.1 |
Depends: | R (≥ 3.6) |
Imports: | glue, purrr, rlang, utils, withr |
Suggests: | bonsai, butcher, callr, caret, covr, embed, h2o, keras, kernlab, knitr, luz, MASS, modeldata, parsnip, recipes, renv, rmarkdown, stacks, tensorflow, testthat (≥ 3.0.0), torch, torchvision, uwot, vetiver, workflows, xgboost |
Published: | 2023-09-09 |
DOI: | 10.32614/CRAN.package.bundle |
Author: | Julia Silge |
Maintainer: | Julia Silge <julia.silge at posit.co> |
BugReports: | https://github.com/rstudio/bundle/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/rstudio/bundle, https://rstudio.github.io/bundle/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | bundle results |
Reference manual: | bundle.pdf |
Vignettes: |
Getting started with bundle |
Package source: | bundle_0.1.1.tar.gz |
Windows binaries: | r-devel: bundle_0.1.1.zip, r-release: bundle_0.1.1.zip, r-oldrel: bundle_0.1.1.zip |
macOS binaries: | r-release (arm64): bundle_0.1.1.tgz, r-oldrel (arm64): bundle_0.1.1.tgz, r-release (x86_64): bundle_0.1.1.tgz, r-oldrel (x86_64): bundle_0.1.1.tgz |
Old sources: | bundle archive |
Reverse imports: | vetiver |
Please use the canonical form https://CRAN.R-project.org/package=bundle to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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