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CRAN: Package workflowsets

workflowsets: Create a Collection of 'tidymodels' Workflows

A workflow is a combination of a model and preprocessors (e.g, a formula, recipe, etc.) (Kuhn and Silge (2021) <https://www.tmwr.org/>). In order to try different combinations of these, an object can be created that contains many workflows. There are functions to create workflows en masse as well as training them and visualizing the results.

Version: 1.1.1
Depends: R (≥ 4.1)
Imports: cli, dplyr (≥ 1.0.0), generics (≥ 0.1.2), ggplot2, hardhat (≥ 1.2.0), lifecycle (≥ 1.0.0), parsnip (≥ 1.2.1), pillar (≥ 1.7.0), prettyunits, purrr, rlang (≥ 1.1.0), rsample (≥ 0.0.9), stats, tibble (≥ 3.1.0), tidyr, tune (≥ 1.2.0), vctrs, withr, workflows (≥ 1.1.4)
Suggests: covr, dials (≥ 0.1.0), finetune, kknn, knitr, modeldata, recipes (≥ 1.1.0), rmarkdown, spelling, testthat (≥ 3.0.0), tidyclust, yardstick (≥ 1.3.0)
Published: 2025-05-27
DOI: 10.32614/CRAN.package.workflowsets
Author: Hannah Frick ORCID iD [aut, cre], Max Kuhn ORCID iD [aut], Simon Couch ORCID iD [aut], Posit Software, PBC ROR ID [cph, fnd]
Maintainer: Hannah Frick <hannah at posit.co>
BugReports: https://github.com/tidymodels/workflowsets/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/workflowsets, https://workflowsets.tidymodels.org
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: workflowsets results

Documentation:

Reference manual: workflowsets.html , workflowsets.pdf
Vignettes: Evaluating different predictor sets (source, R code)

Downloads:

Package source: workflowsets_1.1.1.tar.gz
Windows binaries: r-devel: workflowsets_1.1.1.zip, r-release: workflowsets_1.1.1.zip, r-oldrel: workflowsets_1.1.1.zip
macOS binaries: r-release (arm64): workflowsets_1.1.1.tgz, r-oldrel (arm64): workflowsets_1.1.1.tgz, r-release (x86_64): workflowsets_1.1.1.tgz, r-oldrel (x86_64): workflowsets_1.1.1.tgz
Old sources: workflowsets archive

Reverse dependencies:

Reverse imports: healthyR.ts, postcard, tidyAML, tidymodels, tidyposterior, tidysdm
Reverse suggests: butcher, modeltime, stacks

Linking:

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