Conformal Prediction (CP) is a way of quantifying the uncertainty of a machine learning (ML) model. There are many methods that work well for classification but the infinite output space of regression makes CP challenging. @SambaNovaAI Researcher @etash_guha will present our
Conformal Prediction: Quantifying ML Model Uncertainty in Regression
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