tune: Tidy Tuning Tools

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 ORCID iD [aut, cre], RStudio [cph]
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

Downloads:

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 dependencies:

Reverse depends: finetune
Reverse imports: modeltime.ensemble, modeltime.resample, sknifedatar, stacks, text, tidymodels, tidyposterior, usemodels, workflowsets
Reverse suggests: modeltime, timetk

Linking:

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