Lightweight, useful implementation of conformal prediction on real data.
-
Updated
Mar 24, 2024 - Jupyter Notebook
Lightweight, useful implementation of conformal prediction on real data.
👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
🚩 Conformal Anomaly Detection for 'PyOD' models.
Implementation for our paper "Metric-guided Image Reconstruction Bounds via Conformal Prediction".
Reproducible experiments conducted in the paper 'Uncertainty Quantification in Anomaly Detection with Cross-Conformal p-Values'.
Add a description, image, and links to the conformal-inference topic page so that developers can more easily learn about it.
To associate your repository with the conformal-inference topic, visit your repo's landing page and select "manage topics."