Measuring Models' Uncertainty: Conformal Prediction
Dataiku
OCTOBER 16, 2020
For designing machine learning (ML) models as well as for monitoring them in production, uncertainty estimation on predictions is a critical asset. It helps identify suspicious samples during model training in addition to detecting out-of-distribution samples at inference time.
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