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: 0.1.0
Depends: R (≥ 2.10)
Imports: cli, dplyr (≥ 1.0.0), generics, ggplot2, hardhat (≥ 0.1.6), lifecycle (≥ 1.0.0), prettyunits, purrr, rlang, rsample (≥ 0.0.9), stats, tibble (≥ 3.1.0), tidyr, tune (≥ 0.1.3), vctrs, withr, workflows (≥ 0.2.3)
Suggests: covr, dials, kknn, knitr, modeldata, parsnip, recipes (≥ 0.1.15), rmarkdown, spelling, testthat (≥ 3.0.0), yardstick
Published: 2021-07-22
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
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

Downloads:

Reference manual: workflowsets.pdf
Vignettes: Evaluating different predictor sets
Package source: workflowsets_0.1.0.tar.gz
Windows binaries: r-devel: workflowsets_0.1.0.zip, r-release: workflowsets_0.1.0.zip, r-oldrel: workflowsets_0.0.2.zip
macOS binaries: r-release (arm64): workflowsets_0.1.0.tgz, r-release (x86_64): workflowsets_0.1.0.tgz, r-oldrel: workflowsets_0.1.0.tgz
Old sources: workflowsets archive

Reverse dependencies:

Reverse imports: stacks, tidymodels, tidyposterior
Reverse suggests: modeltime, sknifedatar

Linking:

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