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Class weka.attributeSelection.SVMAttributeEval

java.lang.Object
    |
    +----weka.attributeSelection.ASEvaluation
            |
            +----weka.attributeSelection.AttributeEvaluator
                    |
                    +----weka.attributeSelection.SVMAttributeEval

public class SVMAttributeEval

extends AttributeEvaluator

implements OptionHandler

Valid options are:

-X
Specify constant rate at which attributes are eliminated per invocation of the support vector machine. Default = 1.

-Y
Specify the percentage rate at which attributes are eliminated per invocation of the support vector machine. This setting trumps the constant rate setting. Default = 0 (percentage rate ignored).

-Z
Specify the threshold below which the percentage elimination method reverts to the constant elimination method.

-C
Specify the value of C - the complexity parameter to be passed on to the support vector machine.

-P
Sets the epsilon for round-off error. (default 1.0e-25)

-T
Sets the tolerance parameter. (default 1.0e-10)

Version:

$Revision: 1.15 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

Author:

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

SVMAttributeEval()

Constructor

attsToEliminatePerIterationTipText()

Returns a tip text for this property suitable for display in the GUI

buildEvaluator(Instances)

Initializes the evaluator.

complexityParameterTipText()

Returns a tip text for this property suitable for display in the GUI

epsilonParameterTipText()

Returns a tip text for this property suitable for display in the GUI

evaluateAttribute(int)

Evaluates an attribute by returning the rank of the square of its coefficient in a linear support vector machine.

filterTypeTipText()

Returns a tip text for this property suitable for display in the GUI

getAttsToEliminatePerIteration()

Get the constant rate of attribute elimination per iteration

getComplexityParameter()

Get the value of C used with SMO

getEpsilonParameter()

Get the value of P used with SMO

getFilterType()

Get the filtering mode passed to SMO

getOptions()

Gets the current settings of SVMAttributeEval

getPercentThreshold()

Get the threshold below which percentage elimination reverts to constant elimination.

getPercentToEliminatePerIteration()

Get the percentage rate of attribute elimination per iteration

getToleranceParameter()

Get the value of T used with SMO

globalInfo()

Returns a string describing this attribute evaluator

listOptions()

Returns an enumeration describing all the available options

main(String[])

Main method for testing this class.

percentThresholdTipText()

Returns a tip text for this property suitable for display in the GUI

percentToEliminatePerIterationTipText()

Returns a tip text for this property suitable for display in the GUI

setAttsToEliminatePerIteration(int)

Set the constant rate of attribute elimination per iteration

setComplexityParameter(double)

Set the value of C for SMO

setEpsilonParameter(double)

Set the value of P for SMO

setFilterType(SelectedTag)

The filtering mode to pass to SMO

setOptions(String[])

Parses a given list of options Valid options are:

-X
Specify constant rate at which attributes are eliminated per invocation of the support vector machine.

setPercentThreshold(int)

Set the threshold below which percentage elimination reverts to constant elimination.

setPercentToEliminatePerIteration(int)

Set the percentage of attributes to eliminate per iteration

setToleranceParameter(double)

Set the value of T for SMO

toleranceParameterTipText()

Returns a tip text for this property suitable for display in the GUI

toString()

Return a description of the evaluator

public SVMAttributeEval()

          Constructor

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

public java.util.Enumeration listOptions()

          Returns an enumeration describing all the available options

Returns:

an enumeration of options

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

          Parses a given list of options Valid options are:

-X
Specify constant rate at which attributes are eliminated per invocation of the support vector machine. Default = 1.

-Y
Specify the percentage rate at which attributes are eliminated per invocation of the support vector machine. This setting trumps the constant rate setting. Default = 0 (percentage rate ignored).

-Z
Specify the threshold below which the percentage elimination method reverts to the constant elimination method.

-C
Specify the value of C - the complexity parameter to be passed on to the support vector machine.

-P
Sets the epsilon for round-off error. (default 1.0e-25)

-T
Sets the tolerance parameter. (default 1.0e-10)

-N <0|1|2>
Whether the SVM should 0=normalize/1=standardize/2=neither. (default 0=normalize)

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an error occurs

public java.lang.String[] getOptions()

          Gets the current settings of SVMAttributeEval

Returns:

an array of strings suitable for passing to setOptions()

public java.lang.String attsToEliminatePerIterationTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String percentToEliminatePerIterationTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String percentThresholdTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String epsilonParameterTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String toleranceParameterTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String complexityParameterTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public java.lang.String filterTypeTipText()

          Returns a tip text for this property suitable for display in the GUI

Returns:

tip text string describing this property

public void setAttsToEliminatePerIteration(int cRate)

          Set the constant rate of attribute elimination per iteration

Parameters:

X - the constant rate of attribute elimination per iteration

public int getAttsToEliminatePerIteration()

          Get the constant rate of attribute elimination per iteration

Returns:

the constant rate of attribute elimination per iteration

public void setPercentToEliminatePerIteration(int pRate)

          Set the percentage of attributes to eliminate per iteration

Parameters:

Y - percent of attributes to eliminate per iteration

public int getPercentToEliminatePerIteration()

          Get the percentage rate of attribute elimination per iteration

Returns:

the percentage rate of attribute elimination per iteration

public void setPercentThreshold(int pThresh)

          Set the threshold below which percentage elimination reverts to constant elimination.

Parameters:

thresh - percent of attributes to eliminate per iteration

public int getPercentThreshold()

          Get the threshold below which percentage elimination reverts to constant elimination.

Returns:

the threshold below which percentage elimination stops

public void setEpsilonParameter(double svmP)

          Set the value of P for SMO

Parameters:

svmP - the value of P

public double getEpsilonParameter()

          Get the value of P used with SMO

Returns:

the value of P

public void setToleranceParameter(double svmT)

          Set the value of T for SMO

Parameters:

svmC - the value of T

public double getToleranceParameter()

          Get the value of T used with SMO

Returns:

the value of T

public void setComplexityParameter(double svmC)

          Set the value of C for SMO

Parameters:

svmC - the value of C

public double getComplexityParameter()

          Get the value of C used with SMO

Returns:

the value of C

public void setFilterType(SelectedTag newType)

          The filtering mode to pass to SMO

Parameters:

newType - the new filtering mode

public SelectedTag getFilterType()

          Get the filtering mode passed to SMO

Returns:

the filtering mode

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

          Initializes the evaluator.

Parameters:

data - set of instances serving as training data

Throws:

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

Overrides:

buildEvaluator in class ASEvaluation

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

          Evaluates an attribute by returning the rank of the square of its coefficient in a linear support vector machine.

Parameters:

attribute - the index of the attribute to be evaluated

Throws:

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

Overrides:

evaluateAttribute in class AttributeEvaluator

public java.lang.String toString()

          Return a description of the evaluator

Returns:

description as a string

Overrides:

toString in class java.lang.Object

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

          Main method for testing this class.

Parameters:

args - the options

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