Package weka.attributeSelection
Class CostSensitiveAttributeEval
- java.lang.Object
-
- weka.attributeSelection.ASEvaluation
-
- weka.attributeSelection.CostSensitiveASEvaluation
-
- weka.attributeSelection.CostSensitiveAttributeEval
-
- All Implemented Interfaces:
java.io.Serializable,AttributeEvaluator,CapabilitiesHandler,OptionHandler,RevisionHandler
public class CostSensitiveAttributeEval extends CostSensitiveASEvaluation implements java.io.Serializable, AttributeEvaluator, 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.ReliefFAttributeEval)
Options specific to evaluator weka.attributeSelection.ReliefFAttributeEval:
-M <num instances> Specify the number of instances to sample when estimating attributes. If not specified, then all instances will be used.
-D <seed> Seed for randomly sampling instances. (Default = 1)
-K <number of neighbours> Number of nearest neighbours (k) used to estimate attribute relevances (Default = 10).
-W Weight nearest neighbours by distance
-A <num> Specify sigma value (used in an exp function to control how quickly weights for more distant instances decrease. Use in conjunction with -W. Sensible value=1/5 to 1/10 of the number of nearest neighbours. (Default = 2)
- 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 Description CostSensitiveAttributeEval()Default constructor.
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.StringdefaultEvaluatorString()Return the name of the default evaluator.doubleevaluateAttribute(int attribute)Evaluates an individual attribute.java.lang.StringgetRevision()Returns the revision string.static voidmain(java.lang.String[] args)Main method for testing this class.voidsetEvaluator(ASEvaluation newEvaluator)Set the base evaluator.-
Methods inherited from class weka.attributeSelection.CostSensitiveASEvaluation
buildEvaluator, costMatrixSourceTipText, costMatrixTipText, 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
-
-
-
-
Method Detail
-
defaultEvaluatorString
public java.lang.String defaultEvaluatorString()
Return the name of the default evaluator.- Overrides:
defaultEvaluatorStringin classCostSensitiveASEvaluation- Returns:
- the name of the default evaluator
-
setEvaluator
public void setEvaluator(ASEvaluation newEvaluator) throws java.lang.IllegalArgumentException
Set the base evaluator.- Overrides:
setEvaluatorin classCostSensitiveASEvaluation- Parameters:
newEvaluator- the evaluator to use.- Throws:
java.lang.IllegalArgumentException- if the evaluator is not an instance of AttributeEvaluator
-
evaluateAttribute
public double evaluateAttribute(int attribute) throws java.lang.ExceptionEvaluates an individual attribute. Delegates the actual evaluation to the base attribute evaluator.- Specified by:
evaluateAttributein interfaceAttributeEvaluator- 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
-
getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classCostSensitiveASEvaluation- Returns:
- the revision
-
main
public static void main(java.lang.String[] args)
Main method for testing this class.- Parameters:
args- the options
-
-