nnpd.nre.inference
==================

.. py:module:: nnpd.nre.inference

.. autoapi-nested-parse::

   Inference algebra independent of the simulator and of the experiment runner.



Functions
---------

.. autoapisummary::

   nnpd.nre.inference.ensemble_log_ratio
   nnpd.nre.inference.summarize_density
   nnpd.nre.inference.normalized_mass


Module Contents
---------------

.. py:function:: ensemble_log_ratio(model, observations, theta, batch_size, device)

   Sum per-observation logits, without sigmoid clipping or ratio products.

   Temporary model inputs are bounded by batch_size (or one observation ensemble).
   Returns one score per candidate. All observations share the same candidate theta.


.. py:function:: summarize_density(theta, log_density, log_measure, levels)

   Joint HLD sets, projected axis bounds, and a density-mode estimate.

   log_measure is quadrature volume (continuous) or counting weight (discrete).
   HLD ranking uses DENSITY, not quadrature mass. Boundary ties are included as a
   whole, so enclosed mass may exceed the request. This also handles flat densities.
   These are candidate approximations, not guarantees about the continuous region.


.. py:function:: normalized_mass(log_density, log_measure)