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: |
1.0.1 |
| Depends: |
R (≥ 3.4), tune (≥ 1.0.1) |
| Imports: |
cli, dials (≥ 0.1.0), dplyr, ggplot2, parsnip (≥ 1.0.2), purrr, rlang, tibble, tidyr, tidyselect, utils, workflows (≥
0.2.6), vctrs |
| Suggests: |
BradleyTerry2, covr, discrim, kknn, klaR, lme4, modeldata, ranger, recipes (≥ 0.2.0), rpart, rsample, spelling, testthat, yardstick |
| Published: |
2022-10-12 |
| Author: |
Max Kuhn  [aut,
cre],
RStudio [cph, fnd] |
| Maintainer: |
Max Kuhn <max at rstudio.com> |
| 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 |