A measurement model's own \( \log p(z \mid x) \) at a state point, as logLikelihood() declares it, for the filters that weight points (decisions.md [likelihood-measurements], [model-policies]): a function g(in, x, z) of the model's input space instance, its input vector, and the observation. More...

#include <EmrysFilter/Models/Policies.h>

Public Attributes
G	function
	\( \log p(z \mid x) \) as g(in, x, z)

Detailed Description

template<typename G>
struct Emrys::LogLikelihood< G >

A measurement model's own \( \log p(z \mid x) \) at a state point, as logLikelihood() declares it, for the filters that weight points (decisions.md [likelihood-measurements], [model-policies]): a function g(in, x, z) of the model's input space instance, its input vector, and the observation.

Template Parameters

G	the function

See also: logLikelihood(G)

The documentation for this struct was generated from the following file:

EmrysFilter/Models/Policies.h

Public Attributes

Detailed Description