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: 0.1.0
Depends: tune (≥ 0.1.6)
Imports: cli, dials, dplyr, ggplot2, purrr, ranger, rlang, tibble, tidyr, tidyselect, utils, vctrs, workflows (≥ 0.2.3), yardstick
Suggests: BradleyTerry2, covr, discrim, klaR, lme4, modeldata, parsnip, recipes (≥ 0.1.15), rpart, rsample, spelling, testthat
Published: 2021-07-21
Author: Max Kuhn ORCID iD [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
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

Downloads:

Reference manual: finetune.pdf
Package source: finetune_0.1.0.tar.gz
Windows binaries: r-devel: finetune_0.1.0.zip, r-release: finetune_0.1.0.zip, r-oldrel: finetune_0.0.1.zip
macOS binaries: r-release (arm64): finetune_0.0.1.tgz, r-release (x86_64): finetune_0.1.0.tgz, r-oldrel: finetune_0.1.0.tgz
Old sources: finetune archive

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