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 DOI: 10.32614/CRAN.package.bundle 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bundle to link to this page.
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