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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 FormConstructor Summary | |
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SymmetricalUncertAttributeSetEval()
Constructor |
Method Summary | |
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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 |
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forName, makeCopies, postProcess |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public SymmetricalUncertAttributeSetEval()
Method Detail |
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public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public 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 OptionHandler
options
- 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 OptionHandler
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class ASEvaluation
Capabilities
public void buildEvaluator(Instances data) throws java.lang.Exception
buildEvaluator
in class ASEvaluation
data
- set of instances serving as training data
java.lang.Exception
- if the evaluator has not been
generated successfullypublic double evaluateAttribute(int attribute) throws java.lang.Exception
evaluateAttribute
in class AttributeSetEvaluator
attribute
- the index of the attribute to be evaluated
java.lang.Exception
- if the attribute could not be evaluatedpublic double evaluateAttribute(int[] attributes, int[] classAttributes) throws java.lang.Exception
evaluateAttribute
in class AttributeSetEvaluator
attributes
- 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.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class ASEvaluation
public static void main(java.lang.String[] argv)
argv
- should contain the following arguments:
-t training file
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