Part 3: Applications of Conformal Prediction
In this part, we will provide more details about conformal prediction for classification problems. It will introduce the calibration concept and illustrate how conformal prediction compares with other calibration methods, explaining how it can quantify uncertainty in regression to produce well-calibrated prediction intervals. This part will also explain how conformal prediction can produce prediction intervals for point forecasting models, illustrate applications using open source libraries, and detail recent innovations in conformal prediction for NLP. Finally, this part will explain how conformal prediction can be applied to produce state-of-the-art uncertainty quantification for NLP and illustrate applications using open source libraries.
This section has the following chapters:
