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) <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: 0.0.1
Depends: tune (≥ 0.1.2)
Imports: tibble, rlang, yardstick, workflows, purrr, cli, dials, dplyr, utils, tidyr, tidyselect, ggplot2
Suggests: spelling, BradleyTerry2, lme4, rsample, recipes (≥ 0.1.15), modeldata, rpart, parsnip, testthat, covr, discrim, klaR
Published: 2020-11-20
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
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_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: finetune_0.0.1.tgz, r-oldrel: finetune_0.0.1.tgz


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