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java.lang.Objectweka.attributeSelection.ASEvaluation
weka.attributeSelection.InfoGainAttributeEval
public class InfoGainAttributeEval
InfoGainAttributeEval :
Evaluates the worth of an attribute by measuring the information gain with respect to the class.
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute).
-M treat missing values as a seperate value.
-B just binarize numeric attributes instead of properly discretizing them.
Discretize,
NumericToBinary,
Serialized Form| Constructor Summary | |
|---|---|
InfoGainAttributeEval()
Constructor |
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| Method Summary | |
|---|---|
java.lang.String |
binarizeNumericAttributesTipText()
Returns the tip text for this property |
void |
buildEvaluator(Instances data)
Initializes an information gain attribute evaluator. |
double |
evaluateAttribute(int attribute)
evaluates an individual attribute by measuring the amount of information gained about the class given the attribute. |
boolean |
getBinarizeNumericAttributes()
get whether numeric attributes are just being binarized. |
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. |
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[] args)
Main method for testing this class. |
java.lang.String |
missingMergeTipText()
Returns the tip text for this property |
void |
setBinarizeNumericAttributes(boolean b)
Binarize numeric attributes. |
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()
Describe the attribute 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 InfoGainAttributeEval()
| Method Detail |
|---|
public java.lang.String globalInfo()
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.
-B just binarize numeric attributes instead of properly discretizing them.
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[] getOptions()
getOptions in interface OptionHandlerpublic java.lang.String binarizeNumericAttributesTipText()
public void setBinarizeNumericAttributes(boolean b)
b - true=binarize numeric attributespublic boolean getBinarizeNumericAttributes()
public java.lang.String missingMergeTipText()
public void setMissingMerge(boolean b)
b - true=distribute missing values.public boolean getMissingMerge()
public 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 interface AttributeEvaluatorattribute - the index of the attribute to be evaluated
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[] args)
args - the options
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