Interface for various (marginal) inference algorithms. More...

Inheritance diagram for drwnInference:

Public Member Functions
	drwnInference (const drwnFactorGraph &graph)
	reference to initial clique potentials

	drwnInference (const drwnInference &inf)

virtual void	clear ()
	clear internally cached data (e.g., computation graph)

virtual bool	inference ()=0
	run inference (or resume for iterative algorithms) and return true if converged

virtual void	marginal (drwnTableFactor &belief) const =0
	return the belief over the variables in the given factor, which must be one of the cliques in the original factor graph

virtual drwnFactorGraph	varMarginals () const
	returns marginals for each variable in the factor graph's universe

drwnTableFactor	operator[] (int varIndx) const
	return the marginal distribution over variable `varIndx`

drwnTableFactor	operator[] (const char *varName) const
	return the marginal distribution over variable `varName`

Protected Attributes
const drwnFactorGraph &	_graph

Detailed Description

Interface for various (marginal) inference algorithms.

Algorithms operate on a factor graph (see drwnFactorGraph) that is assumed to be provided as unnormalized probability distributions, i.e., $P(x) \propto \prod_c \Psi_c(x_c)$ and the task is to find the marginal distibution over each variable. A constant reference is maintained to the factor graph, so it is important that the drwnFactorGraph object not be destoryed before destroying the drwnMapInference object.

Todo:: derive from drwnStdObjectIface to allow factory creation

The documentation for this class was generated from the following files:

drwnInference.h
drwnInference.cpp

Public Member Functions

Protected Attributes

Detailed Description