de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures
Class BTExplainingAwayResidual

java.lang.Object
  de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.Measure
      de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures.BTExplainingAwayResidual

All Implemented Interfaces:

InstantiableFromParameterSet, Storable, Cloneable

public class BTExplainingAwayResidual
extends Measure

Structure learning Measure that computes a maximum spanning tree based on the explaining away residual and uses the resulting tree structure as structure of a Bayesian tree (special case of a Bayesian network) in a BayesianNetworkScoringFunction.

Author:

Jan Grau

Nested Class Summary

static class

BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet Class for the parameters of a BTExplainingAwayResidual structure Measure.

Constructor Summary

BTExplainingAwayResidual(BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet parameters)
Creates a new BTExplainingAwayResidual from the corresponding InstanceParameterSet parameters/code>.

BTExplainingAwayResidual(double[] ess)
Creates a new explaining away residual Bayesian tree Measure.

BTExplainingAwayResidual(StringBuffer buf)
Re-creates a BTExplainingAwayResidual from is XML-representation as returned by toXML().

Method Summary

BTExplainingAwayResidual	clone()
InstanceParameterSet	getCurrentParameterSet() Returns the InstanceParameterSet that has been used to instantiate the current instance of the implementing class.
String	getInstanceName() Returns the name of the Measure and possibly some additional information about the current instance.
int[][]	getParents(Sample fg, Sample bg, double[] weightsFg, double[] weightsBg, int length) Returns the optimal parents for the given data and weights.
StringBuffer	toXML() This method returns an XML-representation of an instance of the implementing class.

Methods inherited from class de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.Measure

fillTensor, fillTensor, getCMI, getCMI, getEAR, getEAR, getMI, getMI, getStatistics, getStatisticsOrderTwo, isShiftable, sum, toParents, union

Methods inherited from class java.lang.Object

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

Constructor Detail

BTExplainingAwayResidual

public BTExplainingAwayResidual(double[] ess)

Creates a new explaining away residual Bayesian tree Measure.

Parameters:

ess - the equivalent sample sizes for the classes

BTExplainingAwayResidual

public BTExplainingAwayResidual(BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet parameters)

Creates a new BTExplainingAwayResidual from the corresponding InstanceParameterSet parameters/code>.

Parameters:

parameters - the parameters

BTExplainingAwayResidual

public BTExplainingAwayResidual(StringBuffer buf)
                         throws NonParsableException

Re-creates a BTExplainingAwayResidual from is XML-representation as returned by toXML().

Parameters:

buf - the XML-representation

Throws:

NonParsableException - is thrown if the XML-code could not be parsed

Method Detail

clone

public BTExplainingAwayResidual clone()
                               throws CloneNotSupportedException

Overrides:

clone in class Measure

Throws:

CloneNotSupportedException

getInstanceName

public String getInstanceName()

Description copied from class: Measure

Returns the name of the Measure and possibly some additional information about the current instance.

Specified by:

getInstanceName in class Measure

Returns:

the name

getParents

public int[][] getParents(Sample fg,
                          Sample bg,
                          double[] weightsFg,
                          double[] weightsBg,
                          int length)
                   throws Exception

Description copied from class: Measure

Returns the optimal parents for the given data and weights. The array of parents p at each position i is build as follows:

• p[i][p.length - 1] contains the index i itself
• p[i][p.length - 2] contains the "most important" parent
• ...
• p[i][0] contains the "least important parent

Specified by:

getParents in class Measure

Parameters:

fg - the data of the current (foreground) class

bg - the data of the negative (background) class

weightsFg - the weights for the sequences of fg

weightsBg - the weights for the sequences of bg

length - the length of the model, must be equal to the length of the sequences

Returns:

the parents

Throws:

Exception - thrown if the lengths do not match or other problems concerning the data occur

toXML

public StringBuffer toXML()

Description copied from interface: Storable

This method returns an XML-representation of an instance of the implementing class.

Returns:

the XML-representation

getCurrentParameterSet

public InstanceParameterSet getCurrentParameterSet()
                                            throws Exception

Description copied from interface: InstantiableFromParameterSet

Returns the InstanceParameterSet that has been used to instantiate the current instance of the implementing class. If the current instance was not created using a InstanceParameterSet, an equivalent InstanceParameterSet should be returned, such that an instance created using this InstanceParameterSet would be in principle equal to the current instance.

Returns:

the current InstanceParameterSet

Throws:

Exception - is thrown if the InstanceParameterSet could not be returned