ML_modules.NeuralPosteriorEstimator

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Summary

Simple neural posterior estimator class using a normalizing flow as the posterior density estimator.

Methods

Method	Summary
forward	No docstring summary available.
loss	No docstring summary available.
training_step	No docstring summary available.
validation_step	No docstring summary available.
configure_optimizers	No docstring summary available.
generate_samples	Generate samples from of mode amplitude ratios (e.g., R33=A33/A22) as a function of the input calpha.
load_from_path	No docstring summary available.

Class docstring

Simple neural posterior estimator class using a normalizing flow as the posterior density estimator.