Parameters for JTree. More...

#include <dai/jtree.h>

Public Member Functions
	DAI_ENUM (UpdateType, HUGIN, SHSH)
	Enumeration of possible JTree updates. More...

	DAI_ENUM (InfType, SUMPROD, MAXPROD)
	Enumeration of inference variants. More...

	DAI_ENUM (HeuristicType, MINNEIGHBORS, MINWEIGHT, MINFILL, WEIGHTEDMINFILL)
	Enumeration of elimination cost functions used for constructing the junction tree. More...

Public Attributes
size_t	verbose
	Verbosity (amount of output sent to stderr) More...

UpdateType	updates
	Type of updates. More...

InfType	inference
	Type of inference. More...

HeuristicType	heuristic
	Heuristic to use for constructing the junction tree. More...

size_t	maxmem
	Maximum memory to use in bytes (0 means unlimited) More...

Detailed Description

Parameters for JTree.

Member Function Documentation

dai::JTree::Properties::DAI_ENUM	(	UpdateType	,
		HUGIN	,
		SHSH
	)

Enumeration of possible JTree updates.

There are two types of updates:

dai::JTree::Properties::DAI_ENUM	(	InfType	,
		SUMPROD	,
		MAXPROD
	)

Enumeration of inference variants.

There are two inference variants:

dai::JTree::Properties::DAI_ENUM	(	HeuristicType	,
		MINNEIGHBORS	,
		MINWEIGHT	,
		MINFILL	,
		WEIGHTEDMINFILL
	)

Enumeration of elimination cost functions used for constructing the junction tree.

The cost of eliminating a variable can be (

See also

[KoF09], page 314)):

MINNEIGHBORS the number of neighbors it has in the current adjacency graph;
MINWEIGHT the product of the number of states of all neighbors in the current adjacency graph;
MINFILL the number of edges that need to be added to the adjacency graph due to the elimination;
WEIGHTEDMINFILL the sum of weights of the edges that need to be added to the adjacency graph due to the elimination, where a weight of an edge is the produt of weights of its constituent vertices. The elimination sequence is chosen greedily in order to minimize the cost.

size_t dai::JTree::Properties::verbose

Verbosity (amount of output sent to stderr)

UpdateType dai::JTree::Properties::updates

Type of updates.

InfType dai::JTree::Properties::inference

Type of inference.

HeuristicType dai::JTree::Properties::heuristic

Heuristic to use for constructing the junction tree.

size_t dai::JTree::Properties::maxmem

Maximum memory to use in bytes (0 means unlimited)

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