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java.lang.Objectweka.attributeSelection.ASEvaluation
weka.attributeSelection.AttributeEvaluator
weka.attributeSelection.ChiSquaredAttributeEval
Class for Evaluating attributes individually by measuring the chi-squared statistic with respect to the class. Valid options are:
-M
Treat missing values as a seperate value.
-B
Just binarize numeric attributes instead of properly discretizing them.
| Constructor Summary | |
ChiSquaredAttributeEval()
Constructor |
|
| Method Summary | |
java.lang.String |
binarizeNumericAttributesTipText()
Returns the tip text for this property |
void |
buildEvaluator(Instances data)
Initializes a chi-squared attribute evaluator. |
double |
evaluateAttribute(int attribute)
evaluates an individual attribute by measuring its chi-squared value. |
boolean |
getBinarizeNumericAttributes()
get whether numeric attributes are just being binarized. |
boolean |
getMissingMerge()
get whether missing values are being distributed or not |
java.lang.String[] |
getOptions()
Gets the current settings of WrapperSubsetEval. |
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 ChiSquaredAttributeEval()
| 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
Valid options are:
-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 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 AttributeEvaluatorattribute - the index of the attribute to be evaluated
java.lang.Exception - if the attribute could not be evaluatedpublic java.lang.String toString()
public static void main(java.lang.String[] args)
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