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: | 0.1.6 |
Depends: | R (≥ 2.10) |
Imports: | cli (≥ 2.0.0), dials (≥ 0.0.9), dplyr (≥ 1.0.0), foreach, generics (≥ 0.1.0), ggplot2, glue, GPfit, hardhat (≥ 0.1.6), lifecycle (≥ 1.0.0), parsnip (≥ 0.1.4), purrr (≥ 0.3.2), recipes (≥ 0.1.15), rlang (≥ 0.4.0), rsample (≥ 0.0.9), tibble (≥ 3.1.0), tidyr, vctrs (≥ 0.3.0), withr, workflows (≥ 0.2.3), yardstick (≥ 0.0.7) |
Suggests: | covr, kernlab, knitr, modeldata, randomForest, spelling, testthat, xml2 |
Published: | 2021-07-21 |
Author: | Max Kuhn |
Maintainer: | Max Kuhn <max at rstudio.com> |
License: | MIT + file LICENSE |
URL: | https://github.com/tidymodels/tune, https://tune.tidymodels.org |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | tune results |
Reference manual: | tune.pdf |
Package source: | tune_0.1.6.tar.gz |
Windows binaries: | r-devel: tune_0.1.6.zip, r-release: tune_0.1.6.zip, r-oldrel: tune_0.1.6.zip |
macOS binaries: | r-release (arm64): tune_0.1.6.tgz, r-release (x86_64): tune_0.1.6.tgz, r-oldrel: tune_0.1.6.tgz |
Old sources: | tune archive |
Reverse depends: | finetune |
Reverse imports: | autostats, modeltime.ensemble, modeltime.resample, sknifedatar, stacks, text, tidymodels, tidyposterior, usemodels, workflowsets |
Reverse suggests: | healthyR.ts, modeltime, tabnet, timetk |
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