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: |
1.2.1 |
| Depends: |
R (≥ 4.0) |
| Imports: |
cli (≥ 3.3.0), dials (≥ 1.0.0), doFuture (≥ 1.0.0), dplyr (≥ 1.1.0), foreach, future (≥ 1.33.0), generics (≥ 0.1.2), ggplot2, glue (≥ 1.6.2), GPfit, hardhat (≥ 1.2.0), lifecycle (≥ 1.0.0), parsnip (≥ 1.2.0), purrr (≥ 1.0.0), recipes (≥
1.0.4), rlang (≥ 1.1.0), rsample (≥ 1.2.0), tibble (≥
3.1.0), tidyr (≥ 1.2.0), tidyselect (≥ 1.1.2), vctrs (≥
0.6.1), withr, workflows (≥ 1.1.4), yardstick (≥ 1.3.0) |
| Suggests: |
C50, censored (≥ 0.3.0), covr, kernlab, kknn, knitr, modeldata, scales, spelling, testthat (≥ 3.0.0), xgboost, xml2 |
| Published: |
2024-04-18 |
| DOI: |
10.32614/CRAN.package.tune |
| 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 |