The ability to tune models is important. 'tune' contains
functions and classes to be used in conjunction with other
'tidymodels' packages for finding reasonable values of
hyper-parameters in models, pre-processing methods, and
post-processing steps.
| Version: |
2.0.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
cli (≥ 3.3.0), dials (≥ 1.3.0.9000), dplyr (≥ 1.1.0), generics (≥ 0.1.2), ggplot2, glue (≥ 1.6.2), GPfit, hardhat (≥ 1.4.2), parallel, parsnip (≥ 1.2.1.9003), purrr (≥
1.0.0), recipes (≥ 1.1.0.9001), rlang (≥ 1.1.4), rsample (≥
1.3.0.9003), tailor (≥ 0.1.0), tibble (≥ 3.1.0), tidyr (≥
1.2.0), tidyselect (≥ 1.1.2), vctrs (≥ 0.6.1), withr, workflows (≥ 1.3.0), yardstick (≥ 1.3.0) |
| Suggests: |
C50, censored (≥ 0.3.0), covr, future (≥ 1.33.0), future.apply, kernlab, kknn, knitr, mgcv, mirai (≥ 2.4.0), modeldata, probably, scales, spelling, splines2, survival, testthat (≥ 3.0.0), xgboost, xml2 |
| Published: |
2025-09-01 |
| Author: |
Max Kuhn  [aut,
cre],
Posit Software, PBC  [cph,
fnd] |
| Maintainer: |
Max Kuhn <max at posit.co> |
| BugReports: |
https://github.com/tidymodels/tune/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://tune.tidymodels.org/, https://github.com/tidymodels/tune |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
tune results |