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❗ This is a read-only mirror of the CRAN R package repository. probably — Tools for Post-Processing Predicted Values. Homepage: https://github.com/tidymodels/probablyhttps://probably.tidymodels.org Report bugs for this package: https://github.com/tidymodels/probably/issues

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probably probably website

Codecov test coverage Lifecycle: experimental R-CMD-check

Introduction

probably contains tools to facilitate activities such as:

  • Conversion of probabilities to discrete class predictions.

  • Investigating and estimating optimal probability thresholds.

  • Calibration assessments and remediation for classification and regression models.

  • Inclusion of equivocal zones where the probabilities are too uncertain to report a prediction.

Installation

You can install probably from CRAN with:

install.packages("probably")

You can install the development version of probably from GitHub with:

# install.packages("pak")
pak::pak("tidymodels/probably")

Examples

Good places to look for examples of using probably are the vignettes.

  • vignette("equivocal-zones", "probably") discusses the new class_pred class that probably provides for working with equivocal zones.

  • vignette("where-to-use", "probably") discusses how probably fits in with the rest of the tidymodels ecosystem, and provides an example of optimizing class probability thresholds.

Contributing

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

About

❗ This is a read-only mirror of the CRAN R package repository. probably — Tools for Post-Processing Predicted Values. Homepage: https://github.com/tidymodels/probablyhttps://probably.tidymodels.org Report bugs for this package: https://github.com/tidymodels/probably/issues

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