Package: bundle 0.1.2.9000

Julia Silge

bundle: Serialize Model Objects with a Consistent Interface

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.

Authors:Julia Silge [aut, cre], Simon Couch [aut], Qiushi Yan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]

bundle_0.1.2.9000.tar.gz
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bundle_0.1.2.9000.tgz(r-4.5-any)bundle_0.1.2.9000.tgz(r-4.4-any)bundle_0.1.2.9000.tgz(r-4.3-any)
bundle_0.1.2.9000.tar.gz(r-4.5-noble)bundle_0.1.2.9000.tar.gz(r-4.4-noble)
bundle_0.1.2.9000.tgz(r-4.4-emscripten)bundle_0.1.2.9000.tgz(r-4.3-emscripten)
bundle.pdf |bundle.html
bundle/json (API)
NEWS

# Install 'bundle' in R:
install.packages('bundle', repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rstudio/bundle/issues

Pkgdown site:https://rstudio.github.io

On CRAN:

7.90 score 29 stars 3 packages 153 scripts 1.7k downloads 5 exports 8 dependencies

Last updated 3 months agofrom:ca7759e046. Checks:1 ERROR, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILFeb 10 2025
R-4.5-winWARNINGFeb 10 2025
R-4.5-macWARNINGFeb 10 2025
R-4.5-linuxWARNINGFeb 10 2025
R-4.4-winWARNINGFeb 10 2025
R-4.4-macWARNINGFeb 10 2025
R-4.3-winWARNINGFeb 10 2025
R-4.3-macWARNINGFeb 10 2025

Exports:bundlebundle_constrsituate_constrswap_elementunbundle

Dependencies:cligluelifecyclemagrittrpurrrrlangvctrswithr

Readme and manuals

Help Manual

Help pageTopics
Bundlingbundle unbundle
bundle: Serialize Model Objects With A Consistent Interfacebundle-package bundle_description
Bundle a 'bart' objectbundle.bart
Bundle an 'h2o' objectbundle.H2OAutoML bundle.H2OBinomialModel bundle.H2OMultinomialModel bundle.H2ORegressionModel
Bundle a 'keras' objectbundle.keras.engine.training.Model
Bundle a 'luz_module_fitted' objectbundle.luz_module_fitted
Bundle a parsnip 'model_fit' objectbundle.model_fit bundle_model_fit
Bundle a tidymodels 'model_stack' objectbundle.model_stack bundle_model_stack
Bundle a 'recipe' objectbundle.recipe bundle_recipe
Bundle a 'step_umap' objectbundle.step_umap bundle_step_umap
Bundle a caret 'train' objectbundle.train bundle_train
Bundle a tidymodels 'workflow' objectbundle.workflow bundle_workflow
Bundle an 'xgb.Booster' objectbundle.xgb.Booster