weka.attributeSelection
Class GainRatioAttributeEval

java.lang.Object
  |
  +--weka.attributeSelection.ASEvaluation
        |
        +--weka.attributeSelection.AttributeEvaluator
              |
              +--weka.attributeSelection.GainRatioAttributeEval
All Implemented Interfaces:
OptionHandler, java.io.Serializable

public class GainRatioAttributeEval
extends AttributeEvaluator
implements OptionHandler

Class for Evaluating attributes individually by measuring gain ratio with respect to the class.

Valid options are:

-M
Treat missing values as a seperate value.

Version:
$Revision: 1.16 $
Author:
Mark Hall (mhall@cs.waikato.ac.nz)
See Also:
Serialized Form

Constructor Summary
GainRatioAttributeEval()
          Constructor
 
Method Summary
 void buildEvaluator(Instances data)
          Initializes a gain ratio attribute evaluator.
 double evaluateAttribute(int attribute)
          evaluates an individual attribute by measuring the gain ratio of the class given the attribute.
 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[] args)
          Main method for testing this class.
 java.lang.String missingMergeTipText()
          Returns the tip text for this property
 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
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

GainRatioAttributeEval

public GainRatioAttributeEval()
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. Valid options are:

-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 gain ratio 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

evaluateAttribute

public double evaluateAttribute(int attribute)
                         throws java.lang.Exception
evaluates an individual attribute by measuring the gain ratio of the class given the attribute.

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

Overrides:
toString in class java.lang.Object
Returns:
description as a string

main

public static void main(java.lang.String[] args)
Main method for testing this class.

Parameters:
args - the options -t training file


Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London