Conformal Prediction for Neural Networks: A Practical Introduction

Most neural networks output point predictions with no reliability guarantee. Conformal prediction wraps any model in a calibration layer that produces prediction sets with provable finite-sample coverage -- no distributional assumptions required. Here is how it works and how to implement it.