dials: Tools for Creating Tuning Parameter Values

Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.

Version: 0.0.10
Depends: R (≥ 2.10), scales
Imports: DiceDesign, dplyr (≥ 0.8.5), glue, purrr, rlang, tibble, utils, vctrs (≥ 0.3.1), withr
Suggests: covr, kernlab, knitr, rmarkdown, rpart, testthat, xml2
Published: 2021-09-10
Author: Max Kuhn [aut], Hannah Frick [aut, cre], RStudio [cph]
Maintainer: Hannah Frick <hannah at rstudio.com>
BugReports: https://github.com/tidymodels/dials/issues
License: MIT + file LICENSE
URL: https://dials.tidymodels.org, https://github.com/tidymodels/dials
NeedsCompilation: no
Materials: README NEWS
CRAN checks: dials results

Documentation:

Reference manual: dials.pdf
Vignettes: Working with Tuning Parameters

Downloads:

Package source: dials_0.0.10.tar.gz
Windows binaries: r-devel: dials_0.0.10.zip, r-release: dials_0.0.10.zip, r-oldrel: dials_0.0.10.zip
macOS binaries: r-release (arm64): dials_0.0.10.tgz, r-release (x86_64): dials_0.0.10.tgz, r-oldrel: dials_0.0.10.tgz
Old sources: dials archive

Reverse dependencies:

Reverse imports: autostats, baguette, bayesmodels, discrim, finetune, flipr, garchmodels, MachineShop, modeltime, modeltime.resample, rules, stacks, tidymodels, tune
Reverse suggests: healthyR.ts, modeltime.ensemble, parsnip, tabnet, workflowsets

Linking:

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