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: 0.2.0
Depends: R (≥ 3.4)
Imports: cli (≥ 2.0.0), dials (≥ 0.0.10), dplyr (≥ 1.0.0), foreach, generics (≥ 0.1.2), ggplot2, glue, GPfit, hardhat (≥ 0.2.0), lifecycle (≥ 1.0.0), parsnip (≥ 0.2.0), purrr (≥ 0.3.2), recipes (≥ 0.2.0), rlang (≥ 0.4.0), rsample (≥ 0.0.9), tibble (≥ 3.1.0), tidyr, vctrs (≥ 0.3.0), withr, workflows (≥ 0.2.5), yardstick (≥ 0.0.7)
Suggests: covr, kernlab, knitr, modeldata, spelling, testthat (≥ 3.0.0), xml2
Published: 2022-03-19
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph, fnd]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/tune/issues
License: MIT + file LICENSE
URL: https://tune.tidymodels.org/, https://github.com/tidymodels/tune
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: tune results


Reference manual: tune.pdf


Package source: tune_0.2.0.tar.gz
Windows binaries: r-devel: tune_0.2.0.zip, r-release: tune_0.2.0.zip, r-oldrel: tune_0.2.0.zip
macOS binaries: r-release (arm64): tune_0.2.0.tgz, r-oldrel (arm64): tune_0.2.0.tgz, r-release (x86_64): tune_0.2.0.tgz, r-oldrel (x86_64): tune_0.2.0.tgz
Old sources: tune archive

Reverse dependencies:

Reverse depends: finetune
Reverse imports: autostats, finnts, healthyR.ai, modeltime.ensemble, modeltime.resample, shinymodels, sknifedatar, stacks, text, tidymodels, tidyposterior, usemodels, workflowsets
Reverse suggests: healthyR.ts, modeltime, tabnet, timetk, workboots


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