Package edu.uct.ibr.bayesnet

Class BNInference

java.lang.Object

edu.uct.ibr.bayesnet.BNInference

public class BNInference
extends java.lang.Object

TODO: Extend to allow for other algorithms Do this by having a static variable that determins what algorithm type to use. have a method that allows this to be changed/set when marginals are requested it uses whatever algo type is defined by the variable

Constructor Summary

Constructors

Constructor	Description
BNInference()

Method Summary

Modifier and Type	Method	Description
static edu.ksu.cis.bnj.bbn.inference.InferenceResult	getMarginals(BNGraph graph)	Get the prior/ posterior Marginals by using Variable Elimination
static java.lang.String	getMarginalsOutput(BNGraph graph)	Get the prior/ posterior Marginals as a String, used for output

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BNInference

public BNInference()

Method Detail

getMarginals

public static edu.ksu.cis.bnj.bbn.inference.InferenceResult getMarginals(BNGraph graph)

Get the prior/ posterior Marginals by using Variable Elimination

Parameters:

graph -

Returns:

InferenceResult

getMarginalsOutput

public static java.lang.String getMarginalsOutput(BNGraph graph)

Get the prior/ posterior Marginals as a String, used for output

Parameters:

graph -

Returns:

String