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) tools:::Rd_expr_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.
Maintainer: Max Kuhn max@posit.co (ORCID)
Authors:
Simon Couch simon.couch@posit.co
Hannah Frick hannah@posit.co
Emil HvitFeldt emil.hvitfeldt@posit.co
Other contributors:
Posit Software, PBC (03wc8by49) [copyright holder, funder]
Useful links: