Supplementary code for the paper 'Uncertainty Quantification in Anomaly Detection with (Cross-)Conformal p-Values'
The provided code defines an experimental evaluation setup for comparing the classical inductive conformal (or split-conformal) approach for anomaly detection to cross-conformal methods as derived from (cross-)conformal prediction.
- Run with
Python 3.12 (>=3.9)
- Install
requirements.txt
(pip install -r requirements.txt
)
Ask questions, report bugs: oliver.hennhoefer@h-ka.de
To learn more about conformal inference, check out the awesome conformal prediction repository.