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: | 0.0.9 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr (≥ 1.0.0), generics, pROC (≥ 1.15.0), rlang (≥ 0.4.2), tidyselect, utils, vctrs (≥ 0.3.6) |
| Suggests: | covr, crayon, ggplot2, knitr, probably (≥ 0.0.6), purrr, rmarkdown, testthat (≥ 3.0.0), tidyr |
| Published: | 2021-11-22 |
| Author: | Max Kuhn [aut], Davis Vaughan [aut, cre], RStudio [cph] |
| Maintainer: | Davis Vaughan <davis at rstudio.com> |
| 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 |
| CRAN checks: | yardstick results |
| Reference manual: | yardstick.pdf |
| Vignettes: |
Custom metrics Metric types Multiclass averaging |
| Package source: | yardstick_0.0.9.tar.gz |
| Windows binaries: | r-devel: yardstick_0.0.9.zip, r-release: yardstick_0.0.9.zip, r-oldrel: yardstick_0.0.9.zip |
| macOS binaries: | r-release (arm64): yardstick_0.0.9.tgz, r-oldrel (arm64): yardstick_0.0.9.tgz, r-release (x86_64): yardstick_0.0.9.tgz, r-oldrel (x86_64): yardstick_0.0.9.tgz |
| Old sources: | yardstick archive |
| Reverse imports: | autostats, diceR, forestecology, modeltime, modeltime.ensemble, modeltime.resample, probably, shinymodels, stacks, text, tidymodels, treeheatr, trendeval, tune |
| Reverse suggests: | baguette, brulee, EZtune, finetune, garma, sknifedatar, spatialsample, tidyposterior, timetk, workflowsets |
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