ML_modules.NeuralPosteriorEstimator
===================================

Back to :doc:`Module page <../modules/ML_modules>`

Summary
-------

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

.. list-table:: Methods
   :header-rows: 1

   * - Method
     - Summary
   * - :doc:`forward <../methods/ML_modules.NeuralPosteriorEstimator.forward>`
     - No docstring summary available.
   * - :doc:`loss <../methods/ML_modules.NeuralPosteriorEstimator.loss>`
     - No docstring summary available.
   * - :doc:`training_step <../methods/ML_modules.NeuralPosteriorEstimator.training_step>`
     - No docstring summary available.
   * - :doc:`validation_step <../methods/ML_modules.NeuralPosteriorEstimator.validation_step>`
     - No docstring summary available.
   * - :doc:`configure_optimizers <../methods/ML_modules.NeuralPosteriorEstimator.configure_optimizers>`
     - No docstring summary available.
   * - :doc:`generate_samples <../methods/ML_modules.NeuralPosteriorEstimator.generate_samples>`
     - Generate samples from of mode amplitude ratios (e.g., R33=A33/A22) as a function of the input calpha.
   * - :doc:`load_from_path <../methods/ML_modules.NeuralPosteriorEstimator.load_from_path>`
     - No docstring summary available.

Class docstring
---------------

.. code-block:: text

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

.. toctree::
   :hidden:
   :maxdepth: 1

   ../methods/ML_modules.NeuralPosteriorEstimator.forward
   ../methods/ML_modules.NeuralPosteriorEstimator.loss
   ../methods/ML_modules.NeuralPosteriorEstimator.training_step
   ../methods/ML_modules.NeuralPosteriorEstimator.validation_step
   ../methods/ML_modules.NeuralPosteriorEstimator.configure_optimizers
   ../methods/ML_modules.NeuralPosteriorEstimator.generate_samples
   ../methods/ML_modules.NeuralPosteriorEstimator.load_from_path