finetune: Additional Functions for Model Tuning

The ability to tune models is important. 'finetune' enhances the 'tune' package by providing more specialized methods for finding reasonable values of model tuning parameters. Two racing methods described by Kuhn (2014) <doi:10.48550/arXiv.1405.6974> are included. An iterative search method using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also included.

Version: 1.2.0
Depends: R (≥ 3.5), tune (≥ 1.2.0)
Imports: cli, dials (≥ 0.1.0), dplyr (≥ 1.1.1), ggplot2, parsnip (≥ 1.1.0), purrr, rlang, tibble, tidyr, tidyselect, utils, vctrs, workflows (≥ 0.2.6)
Suggests: BradleyTerry2, covr, discrim, kknn, klaR, lme4, modeldata, ranger, recipes (≥ 0.2.0), rpart, rsample, spelling, testthat, yardstick
Published: 2024-03-21
DOI: 10.32614/CRAN.package.finetune
Author: Max Kuhn ORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: finetune results


Reference manual: finetune.pdf


Package source: finetune_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): finetune_1.2.0.tgz, r-oldrel (arm64): finetune_1.2.0.tgz, r-release (x86_64): finetune_1.2.0.tgz, r-oldrel (x86_64): finetune_1.2.0.tgz
Old sources: finetune archive

Reverse dependencies:

Reverse suggests: shinymodels, workflowsets


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