Package: tailor 0.1.0.9000
Max Kuhn
tailor: Iterative Steps for Postprocessing Model Predictions
Postprocessors refine predictions outputted from machine learning models to improve predictive performance or better satisfy distributional limitations. This package introduces 'tailor' objects, which compose iterative adjustments to model predictions. A number of pre-written adjustments are provided with the package, such as calibration. See Lichtenstein, Fischhoff, and Phillips (1977) <doi:10.1007/978-94-010-1276-8_19>. Other methods and utilities to compose new adjustments are also included. Tailors are tightly integrated with the 'tidymodels' framework.
Authors:
tailor_0.1.0.9000.tar.gz
tailor_0.1.0.9000.zip(r-4.7)tailor_0.1.0.9000.zip(r-4.6)tailor_0.1.0.9000.zip(r-4.5)
tailor_0.1.0.9000.tgz(r-4.6-any)tailor_0.1.0.9000.tgz(r-4.5-any)
tailor_0.1.0.9000.tar.gz(r-4.7-any)tailor_0.1.0.9000.tar.gz(r-4.6-any)
tailor_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tailor/json (API)
| # Install 'tailor' in R: |
| install.packages('tailor', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/tailor/issues
Pkgdown/docs site:https://tailor.tidymodels.org
Last updated from:61016e463a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 154 | ||
| macos-oldrel-arm64 | OK | 104 | ||
| windows-devel | OK | 107 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 103 | ||
| wasm-release | OK | 113 |
Exports:%>%adjust_equivocal_zoneadjust_numeric_calibrationadjust_numeric_rangeadjust_predictions_customadjust_probability_calibrationadjust_probability_thresholdextract_parameter_dialsextract_parameter_set_dialsfitrequired_pkgstailortailor_fully_trainedtailor_requires_fittidytunabletune_args
Dependencies:clidplyrgenericsgluehardhatlifecyclemagrittrpillarpkgconfigpurrrR6rlangsparsevctrstibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Apply an equivocal zone to a binary classification model. | adjust_equivocal_zone |
| Re-calibrate numeric predictions | adjust_numeric_calibration |
| Truncate the range of numeric predictions | adjust_numeric_range |
| Change or add variables | adjust_predictions_custom |
| Re-calibrate classification probability predictions | adjust_probability_calibration |
| Change the event threshold | adjust_probability_threshold |
| Fit and predict from tailors | fit.tailor predict.tailor |
| Declare post-processing for model predictions | tailor |
| Tidy a tailor object | tidy.tailor |
