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yardstick: Tidy Characterizations of Model Performance

Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).

Version: 1.3.1
Depends: R (≥ 3.6.0)
Imports: cli, dplyr (≥ 1.1.0), generics (≥ 0.1.2), hardhat (≥ 1.3.0), lifecycle (≥ 1.0.3), rlang (≥ 1.1.0), tibble, tidyselect (≥ 1.2.0), utils, vctrs (≥ 0.5.0), withr
Suggests: covr, crayon, ggplot2, knitr, probably (≥ 1.0.0), rmarkdown, survival (≥ 3.5-0), testthat (≥ 3.0.0), tidyr
Published: 2024-03-21
Author: Max Kuhn [aut], Davis Vaughan [aut], Emil Hvitfeldt ORCID iD [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co>
BugReports: https://github.com/tidymodels/yardstick/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/yardstick, https://yardstick.tidymodels.org
NeedsCompilation: yes
Materials: README NEWS
In views: Spatial
CRAN checks: yardstick results

Documentation:

Reference manual: yardstick.pdf
Vignettes: Grouping behavior in yardstick
Metric types
Multiclass averaging

Downloads:

Package source: yardstick_1.3.1.tar.gz
Windows binaries: r-devel: yardstick_1.3.1.zip, r-release: yardstick_1.3.1.zip, r-oldrel: yardstick_1.3.1.zip
macOS binaries: r-release (arm64): yardstick_1.3.1.tgz, r-oldrel (arm64): yardstick_1.3.1.tgz, r-release (x86_64): yardstick_1.3.1.tgz, r-oldrel (x86_64): yardstick_1.3.1.tgz
Old sources: yardstick archive

Reverse dependencies:

Reverse imports: adjROC, diceR, fastTS, forestecology, healthyR.ai, modeltime, modeltime.resample, probably, shinymodels, srlTS, text, tidyfit, tidymodels, tidysdm, treeheatr, trendeval, tune, vip, waywiser
Reverse suggests: baguette, brulee, EZtune, FCPS, finetune, garma, rTwig, spatialsample, stacks, tabnet, tidydann, tidyposterior, vetiver, workflowsets

Linking:

Please use the canonical form https://CRAN.R-project.org/package=yardstick to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.