• calibration — How well a model's confidence matches reality — a calibrated model saying "90% sure" is right about 90% of the time.

Pyro lets engineers build models on PyTorch that combine neural networks with Bayesian probabilistic reasoning, so predictions come with calibrated uncertainty and can incorporate prior knowledge instead of only point estimates.

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