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: |
0.1.2 |
| Depends: |
R (≥ 3.6) |
| Imports: |
glue, purrr, rlang, utils, withr |
| Suggests: |
bonsai, butcher, callr, caret, covr, dbarts, embed, h2o, keras, kernlab, knitr, luz, MASS, modeldata, parsnip, recipes, renv, rmarkdown, stacks, tensorflow, testthat (≥ 3.0.0), torch, torchvision, uwot, vetiver, workflows, xgboost (≥
1.6.0.1) |
| Published: |
2024-11-12 |
| Author: |
Julia Silge  [aut,
cre],
Simon Couch [aut],
Qiushi Yan [aut],
Max Kuhn [aut],
Posit Software, PBC [cph, fnd] |
| 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 |