stochasticsampling
Class ImportanceSampling

java.lang.Object
  |
  +--stochasticsampling.ImportanceSampling

All Implemented Interfaces:

ImportanceInterface

Direct Known Subclasses:

AdaptiveAndSelfIS, ForwardSampling, LogicSampling

public abstract class ImportanceSampling

extends java.lang.Object

implements ImportanceInterface

Title: ImportanceSampling.java Description: Stochastic sampling base class Copyright: Copyright (c) 2001 Company: KSU / KDD

Constructor Summary

ImportanceSampling()

Method Summary

void	generateAllSamples() generateAllSamples generates m samples of the selected sampling type
java.util.Vector	generateSample(NodeManager nodemanager, BBN network) generateSample generates a sample of the selected sampling type
java.util.Vector	generateSample(NodeManager nodemanager, BBN network, java.util.Vector[] ICPT) generateSample generates a sample of the selected sampling type
BBN	reorder(BBN allnodeslist) reorder switches around the nodes in BBN so that the root nodes always appear before the branch nodes

Methods inherited from class java.lang.Object

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

Constructor Detail

ImportanceSampling

public ImportanceSampling()

Method Detail

generateAllSamples

public void generateAllSamples()
                        throws java.io.IOException

generateAllSamples generates m samples of the selected sampling type

generateSample

public java.util.Vector generateSample(NodeManager nodemanager,
                                       BBN network)

generateSample generates a sample of the selected sampling type

Specified by:

generateSample in interface ImportanceInterface

Parameters:

nodemanager - - a copy of the NodeManager

network - - the Bayesian network

Returns:

Vector - the generated sample

generateSample

public java.util.Vector generateSample(NodeManager nodemanager,
                                       BBN network,
                                       java.util.Vector[] ICPT)

generateSample generates a sample of the selected sampling type

Specified by:

generateSample in interface ImportanceInterface

Parameters:

nodemanager - - a copy of the NodeManager

network - - the Bayesian network

ICPT - - an array of vectors of the ICPT entries (for AIS and SIS only)

Returns:

Vector - the generated sample

reorder

public BBN reorder(BBN allnodeslist)

reorder switches around the nodes in BBN so that the root nodes always appear before the branch nodes

Specified by:

reorder in interface ImportanceInterface

Parameters:

allnodeslist - - the BBN in its original order

Returns:

BBN - the reordered BBN