edu::tum::cs::bayesnets::inference::WeightedSample Class Reference

List of all members.

Public Member Functions
boolean	checkAssignment (String[][] queries)
boolean	equals (Object obj)
Map< String, String >	getAssignmentMap ()
String	getCPDLookupString (BeliefNode node)
Map< String, String >	getUndiscretizedAssignmentMap ()
int	hashCode ()
WeightedSample	subSample (int[] queryNodes)
String	toShortString ()
String	toString ()
	WeightedSample (BeliefNetworkEx bn, int[] domainIndices)
	WeightedSample (BeliefNetworkEx bn)
	WeightedSample (BeliefNetworkEx bn, int[] nodeDomainIndices, double weight, int[] nodeIndices, int trials)
Public Attributes
int[]	nodeDomainIndices
int[]	nodeIndices
int	operations
int	trials
double	weight
Package Attributes
BeliefNetworkEx	bn

Detailed Description

An instance of class WeightedSample represents a weighted sample. It contains the mapping from node to the corresponding value and the value of the sample.

See also:: BeliefNetworkEx::getWeightedSample(String[][], Random)

Definition at line 20 of file WeightedSample.java.

Constructor & Destructor Documentation

edu::tum::cs::bayesnets::inference::WeightedSample::WeightedSample	(	BeliefNetworkEx	bn,
		int[]	nodeDomainIndices,
		double	weight,
		int[]	nodeIndices,
		int	trials
	)			`[inline]`

Constructs a weighted sample from given node value mapping and weight.

Parameters:

	nodeDomainIndices	the mapping from intern numbering to value as index into the domain of the node.
	weight	the weight of the sample.
	nodeIndices	the mapping from intern numbering to the node index of the outer class. (may be null, in which case the identity mapping is assumed)
	trials	the number of steps that was required to obtain this sample

Definition at line 61 of file WeightedSample.java.

edu::tum::cs::bayesnets::inference::WeightedSample::WeightedSample ( BeliefNetworkEx bn ) [inline]

constructs an empty sample with initial weight 1.0 and 0 trials, with an identity node mapping

Parameters:

bn

the Bayesian network this sample is for

Definition at line 81 of file WeightedSample.java.

edu::tum::cs::bayesnets::inference::WeightedSample::WeightedSample	(	BeliefNetworkEx	bn,
		int[]	domainIndices
	)			`[inline]`

Definition at line 85 of file WeightedSample.java.

Member Function Documentation

boolean edu::tum::cs::bayesnets::inference::WeightedSample::checkAssignment ( String queries[][] ) [inline]

Check if all query assignments are this sample's assignments.

Parameters:

queries

the assignments to be tested.

Returns:: true if all the assignments are correct, false otherwise

Definition at line 212 of file WeightedSample.java.

boolean edu::tum::cs::bayesnets::inference::WeightedSample::equals ( Object obj ) [inline]

Definition at line 123 of file WeightedSample.java.

Map<String, String> edu::tum::cs::bayesnets::inference::WeightedSample::getAssignmentMap ( ) [inline]

Get the assignment from node names to the values. Sometimes we don't want to use the internal numbering outside this class.

Returns:: the assignments of this sample.

Definition at line 138 of file WeightedSample.java.

String edu::tum::cs::bayesnets::inference::WeightedSample::getCPDLookupString ( BeliefNode node ) [inline]

Definition at line 222 of file WeightedSample.java.

Map<String, String> edu::tum::cs::bayesnets::inference::WeightedSample::getUndiscretizedAssignmentMap ( ) [inline]

Get the assignment from node names to values but use an example value for Discretized domains.

Returns:: the assignments of this sample probably with example values.

Definition at line 162 of file WeightedSample.java.

int edu::tum::cs::bayesnets::inference::WeightedSample::hashCode ( ) [inline]

Definition at line 113 of file WeightedSample.java.

WeightedSample edu::tum::cs::bayesnets::inference::WeightedSample::subSample ( int[] queryNodes ) [inline]

Extract a sub sample of this sample for the given nodes. The weight of the sample has to be normalised afterwards and is only meaningful with the same node base!

Parameters:

queryNodes

the nodes to be extracted.