probably: Tools for Post-Processing Predicted Values (original) (raw)
Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.
| Version: | 1.0.3 |
|---|---|
| Depends: | R (≥ 3.6) |
| Imports: | butcher, cli, dplyr (≥ 1.1.0), furrr, generics (≥ 0.1.3), ggplot2, hardhat, pillar, purrr, rlang (≥ 1.0.4), tidyr (≥ 1.3.0), tidyselect (≥ 1.1.2), tune (≥ 1.1.2), vctrs (≥ 0.4.1), withr, workflows (≥ 1.1.4), yardstick (≥ 1.3.0) |
| Suggests: | betacal, covr, knitr, MASS, mgcv, modeldata (≥ 1.1.0), nnet, parsnip (≥ 1.2.0), quantregForest, randomForest, recipes, rmarkdown, rsample, testthat (≥ 3.0.0) |
| Published: | 2024-02-23 |
| DOI: | 10.32614/CRAN.package.probably |
| Author: | Max Kuhn [aut, cre], Davis Vaughan [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd] |
| Maintainer: | Max Kuhn |
| BugReports: | https://github.com/tidymodels/probably/issues |
| License: | MIT + file |
| URL: | https://github.com/tidymodels/probably,https://probably.tidymodels.org |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | probably results |
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