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: | 0.0.3 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, utils, pROC, rlang, tidyselect, Rcpp, generics |
| LinkingTo: | Rcpp |
| Suggests: | testthat, covr, purrr, tidyr, ggplot2, knitr, kableExtra, rmarkdown |
| Published: | 2019-03-08 |
| Author: | Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph] |
| Maintainer: | Max Kuhn <max 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_0.0.3.tar.gz |
| Windows binaries: | r-devel: yardstick_0.0.3.zip, r-release: yardstick_0.0.3.zip, r-oldrel: yardstick_0.0.3.zip |
| OS X binaries: | r-release: yardstick_0.0.3.tgz, r-oldrel: yardstick_0.0.3.tgz |
| Old sources: | yardstick archive |
| Reverse imports: | probably, tidymodels |
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