weka.attributeSelection
Class SymmetricalUncertAttributeEval

java.lang.Object
  weka.attributeSelection.ASEvaluation
      weka.attributeSelection.AttributeEvaluator
          weka.attributeSelection.SymmetricalUncertAttributeEval

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class SymmetricalUncertAttributeEval

extends AttributeEvaluator

implements OptionHandler

Class for Evaluating attributes individually by measuring symmetrical uncertainty with respect to the class. Valid options are:

-M
Treat missing values as a seperate value.

Version:

$Revision: 1.15 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

private int	m_classIndex The class index
private boolean	m_missing_merge Treat missing values as a seperate value
private int	m_numAttribs The number of attributes
private int	m_numClasses The number of classes
private int	m_numInstances The number of instances
private Instances	m_trainInstances The training instances

Constructor Summary

SymmetricalUncertAttributeEval()
Constructor

Method Summary

void	buildEvaluator(Instances data) Initializes a symmetrical uncertainty attribute evaluator.
double	evaluateAttribute(int attribute) evaluates an individual attribute by measuring the symmetrical uncertainty between it and the class.
boolean	getMissingMerge() get whether missing values are being distributed or not
java.lang.String[]	getOptions() Gets the current settings of WrapperSubsetEval.
java.lang.String	globalInfo() Returns a string describing this attribute evaluator
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(java.lang.String[] argv) Main method for testing this class.
java.lang.String	missingMergeTipText() Returns the tip text for this property
protected void	resetOptions() set options to default values
void	setMissingMerge(boolean b) distribute the counts for missing values across observed values
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() Return a description of the evaluator

Methods inherited from class weka.attributeSelection.ASEvaluation

forName, makeCopies, postProcess

Methods inherited from class java.lang.Object

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

Field Detail

m_trainInstances

private Instances m_trainInstances

The training instances

m_classIndex

private int m_classIndex

The class index

m_numAttribs

private int m_numAttribs

The number of attributes

m_numInstances

private int m_numInstances

The number of instances

m_numClasses

private int m_numClasses

The number of classes

m_missing_merge

private boolean m_missing_merge

Treat missing values as a seperate value

Constructor Detail

SymmetricalUncertAttributeEval

public SymmetricalUncertAttributeEval()

Constructor

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this attribute evaluator

Returns:

a description of the evaluator suitable for displaying in the explorer/experimenter gui

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. -M
Treat missing values as a seperate value.

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

missingMergeTipText

public java.lang.String missingMergeTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setMissingMerge

public void setMissingMerge(boolean b)

distribute the counts for missing values across observed values

Parameters:

b - true=distribute missing values.

getMissingMerge

public boolean getMissingMerge()

get whether missing values are being distributed or not

Returns:

true if missing values are being distributed.

getOptions

public java.lang.String[] getOptions()

Gets the current settings of WrapperSubsetEval.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions()

buildEvaluator

public void buildEvaluator(Instances data)
                    throws java.lang.Exception

Initializes a symmetrical uncertainty attribute evaluator. Discretizes all attributes that are numeric.

Specified by:

buildEvaluator in class ASEvaluation

Parameters:

data - set of instances serving as training data

Throws:

java.lang.Exception - if the evaluator has not been generated successfully

resetOptions

protected void resetOptions()

set options to default values

evaluateAttribute

public double evaluateAttribute(int attribute)
                         throws java.lang.Exception

evaluates an individual attribute by measuring the symmetrical uncertainty between it and the class.

Specified by:

evaluateAttribute in class AttributeEvaluator

Parameters:

attribute - the index of the attribute to be evaluated

Returns:

the "merit" of the attribute

Throws:

java.lang.Exception - if the attribute could not be evaluated

toString

public java.lang.String toString()

Return a description of the evaluator

Returns:

description as a string

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - should contain the following arguments: -t training file