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B
binarizeNumericAttributesTipText()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns the tip text for this property
buildEvaluator(Instances)
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Initializes a chi-squared attribute evaluator.
C
ChiSquaredAttributeEval
- Class in
weka.attributeSelection
ChiSquaredAttributeEval :
Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class.
Valid options are:
ChiSquaredAttributeEval()
- Constructor for class weka.attributeSelection.
ChiSquaredAttributeEval
Constructor
E
evaluateAttribute(int)
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
evaluates an individual attribute by measuring its chi-squared value.
G
getBinarizeNumericAttributes()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
get whether numeric attributes are just being binarized.
getCapabilities()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns the capabilities of this evaluator.
getMissingMerge()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
get whether missing values are being distributed or not
getOptions()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Gets the current settings.
getRevision()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns the revision string.
globalInfo()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns a string describing this attribute evaluator
L
listOptions()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns an enumeration describing the available options
M
main(String[])
- Static method in class weka.attributeSelection.
ChiSquaredAttributeEval
Main method.
missingMergeTipText()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Returns the tip text for this property
S
setBinarizeNumericAttributes(boolean)
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Binarize numeric attributes.
setMissingMerge(boolean)
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
distribute the counts for missing values across observed values
setOptions(String[])
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Parses a given list of options.
T
toString()
- Method in class weka.attributeSelection.
ChiSquaredAttributeEval
Describe the attribute evaluator
W
weka.attributeSelection
- package weka.attributeSelection
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