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: | 0.0.5 |
Depends: | R (≥ 2.10) |
Imports: | dplyr, utils, pROC (≥ 1.15.0), rlang (≥ 0.4.0), tidyselect, Rcpp, generics |
LinkingTo: | Rcpp |
Suggests: | testthat, covr, purrr, tidyr, ggplot2, knitr, kableExtra, rmarkdown |
Published: | 2020-01-23 |
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: | GPL-2 |
URL: | https://github.com/tidymodels/yardstick |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | yardstick results |
Reference manual: | yardstick.pdf |
Vignettes: |
Custom metrics Metric types Multiclass averaging |
Package source: | yardstick_0.0.5.tar.gz |
Windows binaries: | r-devel: yardstick_0.0.5.zip, r-devel-gcc8: yardstick_0.0.5.zip, r-release: yardstick_0.0.5.zip, r-oldrel: yardstick_0.0.5.zip |
OS X binaries: | r-release: yardstick_0.0.5.tgz, r-oldrel: yardstick_0.0.5.tgz |
Old sources: | yardstick archive |
Reverse imports: | probably, tidymodels, tune |
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