Cordier, Jawad, & Laurent – Boosting AI Reliability: Uncertainty Quantification with MAPIE
www.pydata.org
MAPIE (Model Agnostic Prediction Interval Estimator) is your go-to solution for managing uncertainties and risks in machine learning models. This Python library, nestled within scikit-learn-contrib, offers a way to calculate prediction sets with controlled coverage rates for regression and classification tasks.
But it doesn’t stop there – MAPIE can also be used to handle more complex tasks like time series analysis, multi-label classification, computer vision and natural language processing, ensuring probabilistic guarantees on crucial metrics.
Join us as we delve into the world of conformal predictions and how to quickly manage your uncertainties using MAPIE.
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