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: 0.1.1
Depends: R (≥ 2.10)
Imports: dplyr (≥ 0.8.5), rlang (≥ 0.4.0), tibble (≥ 2.1.3), purrr (≥ 0.3.2), dials (≥ 0.0.4), recipes (≥ 0.1.9), utils, ggplot2, glue, cli (≥ 2.0.0), crayon, yardstick, rsample, tidyr, GPfit, foreach, parsnip (≥ 0.0.4), workflows (≥ 0.1.0), hardhat (≥ 0.1.0), lifecycle, vctrs (≥ 0.3.0)
Suggests: testthat, knitr, covr, kernlab, randomForest, modeldata, xml2, spelling
Published: 2020-07-08
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_0.1.1.tar.gz
Windows binaries: r-devel: tune_0.1.1.zip, r-release: tune_0.1.1.zip, r-oldrel: tune_0.1.1.zip
macOS binaries: r-release: tune_0.1.1.tgz, r-oldrel: tune_0.1.1.tgz
Old sources: tune archive

Reverse dependencies:

Reverse imports: modeltime.ensemble, tidymodels, usemodels
Reverse suggests: modeltime, timetk


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