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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.
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Package details |
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| Author | Simon Couch [aut], Hannah Frick [aut], Emil HvitFeldt [aut], Max Kuhn [aut, cre] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) |
| Maintainer | Max Kuhn <max@posit.co> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/tidymodels/tailor https://tailor.tidymodels.org |
| Package repository | View on CRAN |
| Installation |
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