approximators#

A collection of Approximators, which embody the inference task and the neural network components used to perform it.

Classes

Approximator(*args, **kwargs)

ContinuousApproximator(*args, **kwargs)

Defines a workflow for performing fast posterior or likelihood inference.

ModelComparisonApproximator(*args, **kwargs)

Defines an approximator for model (simulator) comparison, where the (discrete) posterior model probabilities are learned with a classifier.

PointApproximator(*args, **kwargs)

A workflow for fast amortized point estimation of a conditional distribution.