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: |
0.1.0 |
| 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, testthat (≥ 3.0.0), tensorflow, torch, torchvision, uwot, vetiver, workflows, xgboost |
| Published: |
2022-09-15 |
| Author: |
Julia Silge  [aut,
cre],
Simon Couch [aut],
Qiushi Yan [aut],
Max Kuhn [aut],
RStudio [cph, fnd] |
| Maintainer: |
Julia Silge <julia.silge at rstudio.com> |
| 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 |