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: |
1.1.0 |
Depends: |
R (≥ 3.6) |
Imports: |
cli, dplyr (≥ 1.0.0), generics (≥ 0.1.2), ggplot2, glue, hardhat (≥ 1.2.0), lifecycle (≥ 1.0.0), parsnip (≥ 1.2.0), 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 (≥ 1.0.0), rmarkdown, spelling, testthat (≥ 3.0.0), tidyclust, yardstick (≥ 1.3.0) |
Published: |
2024-03-21 |
DOI: |
10.32614/CRAN.package.workflowsets |
Author: |
Max Kuhn [aut],
Simon Couch [aut,
cre],
Posit Software, PBC [cph, fnd] |
Maintainer: |
Simon Couch <simon.couch 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 |