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tailor

Iterative Steps for Postprocessing Model Predictions

v0.1.0 · Aug 25, 2025 · MIT + file LICENSE

Description

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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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Reverse Dependencies (4)

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Dependency Network

Dependencies Reverse dependencies cli dplyr generics hardhat purrr rlang tibble tidyselect vctrs tidymodels tune orbital workflows tailor

Version History

new 0.1.0 Mar 9, 2026