SVMAttributeEval (clrc1.0)

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weka.attributeSelection
Class SVMAttributeEval

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

All Implemented Interfaces:: OptionHandler, java.io.Serializable

public class SVMAttributeEval
extends AttributeEvaluator
implements OptionHandler

Class for Evaluating attributes individually by using the SVM classifier. Attributes are ranked by the square of the weight assigned by the SVM. Attribute selection for multiclass problems is handled by ranking attributes for each class seperately using a one-vs-all method and then "dealing" from the top of each pile to give a final ranking.

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: 1.17 $
Author:: Eibe Frank (eibe@cs.waikato.ac.nz), Mark Hall (mhall@cs.waikato.ac.nz)
See Also:: Serialized Form

Constructor Summary

SVMAttributeEval()
          Constructor

Method Summary

java.lang.String attsToEliminatePerIterationTipText()
          Returns a tip text for this property suitable for display in the GUI

void buildEvaluator(Instances data)
          Initializes the evaluator.

java.lang.String complexityParameterTipText()
          Returns a tip text for this property suitable for display in the GUI

java.lang.String epsilonParameterTipText()
          Returns a tip text for this property suitable for display in the GUI

double evaluateAttribute(int attribute)
          Evaluates an attribute by returning the rank of the square of its coefficient in a linear support vector machine.

java.lang.String filterTypeTipText()
          Returns a tip text for this property suitable for display in the GUI

int getAttsToEliminatePerIteration()
          Get the constant rate of attribute elimination per iteration

double getComplexityParameter()
          Get the value of C used with SMO

double getEpsilonParameter()
          Get the value of P used with SMO

SelectedTag getFilterType()
          Get the filtering mode passed to SMO

java.lang.String[] getOptions()
          Gets the current settings of SVMAttributeEval

int getPercentThreshold()
          Get the threshold below which percentage elimination reverts to constant elimination.

int getPercentToEliminatePerIteration()
          Get the percentage rate of attribute elimination per iteration

double getToleranceParameter()
          Get the value of T used with SMO

java.lang.String globalInfo()
          Returns a string describing this attribute evaluator

java.util.Enumeration listOptions()
          Returns an enumeration describing all the available options

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

java.lang.String percentThresholdTipText()
          Returns a tip text for this property suitable for display in the GUI

java.lang.String percentToEliminatePerIterationTipText()
          Returns a tip text for this property suitable for display in the GUI

void setAttsToEliminatePerIteration(int cRate)
          Set the constant rate of attribute elimination per iteration

void setComplexityParameter(double svmC)
          Set the value of C for SMO

void setEpsilonParameter(double svmP)
          Set the value of P for SMO

void setFilterType(SelectedTag newType)
          The filtering mode to pass to SMO

void setOptions(java.lang.String[] options)
          Parses a given list of options Valid options are:

void setPercentThreshold(int pThresh)
          Set the threshold below which percentage elimination reverts to constant elimination.

void setPercentToEliminatePerIteration(int pRate)
          Set the percentage of attributes to eliminate per iteration

void setToleranceParameter(double svmT)
          Set the value of T for SMO

java.lang.String toleranceParameterTipText()
          Returns a tip text for this property suitable for display in the GUI

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