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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 posit.co>
BugReports: https://github.com/tidymodels/finetune/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/finetune, https://finetune.tidymodels.org
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: finetune results

Documentation:

Reference manual: finetune.pdf

Downloads:

Package source: finetune_1.2.0.tar.gz
Windows binaries: r-devel: finetune_1.2.0.zip, r-release: finetune_1.2.0.zip, r-oldrel: finetune_1.2.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=finetune to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.