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For more on this diagram, see the [main bundle vignette](https://rstudio.github.io/bundle/articles/bundle.html).
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For more on this diagram, see the [main bundle vignette](https://rstudio.github.io/bundle/articles/bundle.html).
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When you're ready to save your model, `bundle()` it first. Once you've loaded it in a new setting, `unbundle()` it!
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@@ -115,8 +115,8 @@ r(
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func = function(bundled_mod) {
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library(bundle)
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library(parsnip)
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unbundled_mod <-
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unbundled_mod <-
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unbundle(bundled_mod)
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predict(unbundled_mod, new_data = mtcars[26:32,])
@@ -133,7 +133,7 @@ For a more in-depth demonstration of the package, see the [main vignette](https:
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This project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
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- For questions and discussions about our packages, modeling, and machine learning, please [post on RStudio Community](https://community.rstudio.com/new-topic?category_id=15&tags=question).
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- For questions and discussions about our packages, modeling, and machine learning, please [post on RStudio Community](https://forum.posit.co/new-topic?category_id=15&tags=question).
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- If you think you have encountered a bug, please [submit an issue](https://github.com/rstudio/bundle/issues).
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