tune: Tidy Tuning Tools

The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: dplyr (≥ 1.0.0), rlang (≥ 0.4.0), tibble (≥ 2.1.3), purrr (≥ 0.3.2), dials (≥ 0.0.9), recipes (≥ 0.1.15), utils, ggplot2, glue, cli (≥ 2.0.0), yardstick (≥ 0.0.7), rsample (≥ 0.0.8), tidyr, GPfit, foreach, parsnip (≥ 0.1.4), workflows (≥ 0.2.1), hardhat (≥ 0.1.5), vctrs (≥ 0.3.0), generics (≥ 0.1.0)
Suggests: testthat, knitr, covr, kernlab, randomForest, modeldata, xml2, spelling
Published: 2020-11-17
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
License: MIT + file LICENSE
URL: https://github.com/tidymodels/tune, https://tune.tidymodels.org
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: tune results


Reference manual: tune.pdf
Package source: tune_0.1.2.tar.gz
Windows binaries: r-devel: tune_0.1.2.zip, r-release: tune_0.1.2.zip, r-oldrel: tune_0.1.2.zip
macOS binaries: r-release: tune_0.1.2.tgz, r-oldrel: tune_0.1.2.tgz
Old sources: tune archive

Reverse dependencies:

Reverse depends: finetune
Reverse imports: modeltime.ensemble, modeltime.resample, stacks, text, tidymodels, usemodels
Reverse suggests: modeltime, timetk


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