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java.lang.Objectweka.attributeSelection.ASEvaluation
weka.attributeSelection.AttributeSetEvaluator
weka.attributeSelection.SymmetricalUncertAttributeSetEval
public class SymmetricalUncertAttributeSetEval
SymmetricalUncertAttributeSetEval :
Evaluates the worth of a set attributes by measuring the symmetrical uncertainty with respect to another set of attributes.
SymmU(AttributeSet2, AttributeSet1) = 2 * (H(AttributeSet2) - H(AttributeSet1 | AttributeSet2)) / H(AttributeSet2) + H(AttributeSet1).
For more information see:
Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.
@inproceedings{Yu2003,
author = {Lei Yu and Huan Liu},
booktitle = {Proceedings of the Twentieth International Conference on Machine Learning},
pages = {856-863},
publisher = {AAAI Press},
title = {Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution},
year = {2003}
}
Valid options are:
-M treat missing values as a seperate value.
Discretize,
Serialized Form| Constructor Summary | |
|---|---|
SymmetricalUncertAttributeSetEval()
Constructor |
|
| Method Summary | |
|---|---|
void |
buildEvaluator(Instances data)
Initializes a symmetrical uncertainty attribute evaluator. |
double |
evaluateAttribute(int attribute)
evaluates an individual attribute by measuring the symmetrical uncertainty between it and the class. |
double |
evaluateAttribute(int[] attributes,
int[] classAttributes)
calculate symmetrical uncertainty between sets of attributes |
Capabilities |
getCapabilities()
Returns the capabilities of this evaluator. |
boolean |
getMissingMerge()
get whether missing values are being distributed or not |
java.lang.String[] |
getOptions()
Gets the current settings of WrapperSubsetEval. |
java.lang.String |
getRevision()
Returns the revision string. |
TechnicalInformation |
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. |
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[] argv)
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 |
|---|
public SymmetricalUncertAttributeSetEval()
| Method Detail |
|---|
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation in interface TechnicalInformationHandlerpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandler
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-M treat missing values as a seperate value.
setOptions in interface OptionHandleroptions - the list of options as an array of strings
java.lang.Exception - if an option is not supportedpublic java.lang.String missingMergeTipText()
public void setMissingMerge(boolean b)
b - true=distribute missing values.public boolean getMissingMerge()
public java.lang.String[] getOptions()
getOptions in interface OptionHandlerpublic Capabilities getCapabilities()
getCapabilities in interface CapabilitiesHandlergetCapabilities in class ASEvaluationCapabilities
public void buildEvaluator(Instances data)
throws java.lang.Exception
buildEvaluator in class ASEvaluationdata - set of instances serving as training data
java.lang.Exception - if the evaluator has not been
generated successfully
public double evaluateAttribute(int attribute)
throws java.lang.Exception
evaluateAttribute in class AttributeSetEvaluatorattribute - the index of the attribute to be evaluated
java.lang.Exception - if the attribute could not be evaluated
public double evaluateAttribute(int[] attributes,
int[] classAttributes)
throws java.lang.Exception
evaluateAttribute in class AttributeSetEvaluatorattributes - the indexes of the attributesclassAttributes - the indexes of the attributes whose combination will
be used as class label
java.lang.Exception - if the attribute could not be evaluatedpublic java.lang.String toString()
toString in class java.lang.Objectpublic java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class ASEvaluationpublic static void main(java.lang.String[] argv)
argv - should contain the following arguments:
-t training file
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