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: 1.2.0
Depends: R (≥ 4.0)
Imports: cli (≥ 3.3.0), dials (≥ 1.0.0), doFuture (≥ 1.0.0), dplyr (≥ 1.1.0), foreach, future (≥ 1.33.0), generics (≥ 0.1.2), ggplot2, glue (≥ 1.6.2), GPfit, hardhat (≥ 1.2.0), lifecycle (≥ 1.0.0), parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥ 1.0.4), rlang (≥ 1.1.0), rsample (≥ 1.2.0), tibble (≥ 3.1.0), tidyr (≥ 1.2.0), tidyselect (≥ 1.1.2), vctrs (≥ 0.6.1), withr, workflows (≥ 1.1.4), yardstick (≥ 1.3.0)
Suggests: C50, censored (≥ 0.3.0), covr, kernlab, kknn, knitr, modeldata, scales, spelling, testthat (≥ 3.0.0), xgboost, xml2
Published: 2024-03-20
Author: Max Kuhn ORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max at posit.co>
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

Documentation:

Reference manual: tune.pdf

Downloads:

Package source: tune_1.2.0.tar.gz
Windows binaries: r-devel: tune_1.2.0.zip, r-release: tune_1.2.0.zip, r-oldrel: tune_1.2.0.zip
macOS binaries: r-release (arm64): tune_1.2.0.tgz, r-oldrel (arm64): tune_1.2.0.tgz, r-release (x86_64): tune_1.2.0.tgz
Old sources: tune archive

Reverse dependencies:

Reverse depends: finetune, RISCA
Reverse imports: agua, finnts, healthyR.ai, HTRX, modeltime.ensemble, modeltime.resample, probably, shinymodels, stacks, text, tidyclust, tidymodels, tidyposterior, tidysdm, usemodels, viralmodels, viruslearner, workflowsets
Reverse suggests: bonsai, healthyR.ts, modeltime, nestedmodels, offsetreg, tabnet, tidydann, timetk

Linking:

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