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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
 

B C E G L M S T W