Description
Machine-learning predictions can be postprocessed to improve performance or satisfy distributional limits. Data scientists use it after model fitting to adjust outputs in controlled ways.
FICHA · AUR
r-tailor
Postprocessors refine predictions outputted from machine learning models to improve predictive performance or better satisfy distributional limitations.
- R prediction postprocess library
- LIBRARY
- R
- Dependency only
official+codex · reviewed · Jun 4, 2026 description in
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