weka.attributeSelection

Class CostSensitiveSubsetEval

java.lang.Object

weka.attributeSelection.ASEvaluation

weka.attributeSelection.CostSensitiveASEvaluation

weka.attributeSelection.CostSensitiveSubsetEval

All Implemented Interfaces:

java.io.Serializable, SubsetEvaluator, CapabilitiesHandler, OptionHandler, RevisionHandler

public class CostSensitiveSubsetEval
extends CostSensitiveASEvaluation
implements java.io.Serializable, SubsetEvaluator, OptionHandler

A meta subset evaluator that makes its base subset evaluator cost-sensitive.

Valid options are:

 -C <cost file name>
  File name of a cost matrix to use. If this is not supplied,
  a cost matrix will be loaded on demand. The name of the
  on-demand file is the relation name of the training data
  plus ".cost", and the path to the on-demand file is
  specified with the -N option.

 -N <directory>
  Name of a directory to search for cost files when loading
  costs on demand (default current directory).

 -cost-matrix <matrix>
  The cost matrix in Matlab single line format.

 -S <integer>
  The seed to use for random number generation.

 -W
  Full name of base evaluator.
  (default: weka.attributeSelection.CfsSubsetEval)

 
 Options specific to evaluator weka.attributeSelection.CfsSubsetEval:
 

 -M
  Treat missing values as a seperate value.

 -L
  Don't include locally predictive attributes.

Version:

$Revision: 5562 $

Author:

Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.attributeSelection.CostSensitiveASEvaluation

MATRIX_ON_DEMAND, MATRIX_SUPPLIED, TAGS_MATRIX_SOURCE

Constructor Summary

Constructors

Constructor and Description
CostSensitiveSubsetEval() Default constructor.

Method Summary

Modifier and Type	Method and Description
double	evaluateSubset(java.util.BitSet subset) Evaluates a subset of attributes.
java.lang.String	getRevision() Returns the revision string.
static void	main(java.lang.String[] args) Main method for testing this class.
void	setEvaluator(ASEvaluation newEvaluator) Set the base evaluator.

Methods inherited from class weka.attributeSelection.CostSensitiveASEvaluation

buildEvaluator, costMatrixSourceTipText, costMatrixTipText, defaultEvaluatorString, evaluatorTipText, getCapabilities, getCostMatrix, getCostMatrixSource, getEvaluator, getOnDemandDirectory, getOptions, getSeed, globalInfo, listOptions, onDemandDirectoryTipText, postProcess, seedTipText, setCostMatrix, setCostMatrixSource, setOnDemandDirectory, setOptions, setSeed, toString

Methods inherited from class weka.attributeSelection.ASEvaluation

clean, forName, makeCopies

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface weka.core.OptionHandler

getOptions, listOptions, setOptions

Constructor Detail

CostSensitiveSubsetEval

public CostSensitiveSubsetEval()

Default constructor.

Method Detail

setEvaluator

public void setEvaluator(ASEvaluation newEvaluator)
                  throws java.lang.IllegalArgumentException

Set the base evaluator.

Overrides:

setEvaluator in class CostSensitiveASEvaluation

Parameters:

newEvaluator - the evaluator to use.

Throws:

java.lang.IllegalArgumentException - if the evaluator is not an instance of SubsetEvaluator

evaluateSubset

public double evaluateSubset(java.util.BitSet subset)
                      throws java.lang.Exception

Evaluates a subset of attributes. Delegates the actual evaluation to the base subset evaluator.

Specified by:

evaluateSubset in interface SubsetEvaluator

Parameters:

subset - a bitset representing the attribute subset to be evaluated

Returns:

the "merit" of the subset

Throws:

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

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class CostSensitiveASEvaluation

Returns:

the revision

main

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

Main method for testing this class.

Parameters:

args - the options