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B

buildClassifier(Instances) - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Generates the classifier.

C

classifyInstance(Instance) - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Classifies a given instance.
ComplementNaiveBayes - Class in weka.classifiers.bayes
Class for building and using a Complement class Naive Bayes classifier.

For more information see,

Jason D.
ComplementNaiveBayes() - Constructor for class weka.classifiers.bayes.ComplementNaiveBayes
 

G

getCapabilities() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns default capabilities of the classifier.
getNormalizeWordWeights() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns true if the word weights for each class are to be normalized
getOptions() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Gets the current settings of the classifier.
getRevision() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns the revision string.
getSmoothingParameter() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Gets the smoothing value to be used to avoid zero WordGivenClass probabilities.
getTechnicalInformation() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
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.
globalInfo() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns a string describing this classifier

L

listOptions() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.bayes.ComplementNaiveBayes
Main method for testing this class.

N

normalizeWordWeightsTipText() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns the tip text for this property

S

setNormalizeWordWeights(boolean) - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Sets whether if the word weights for each class should be normalized
setOptions(String[]) - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Parses a given list of options.
setSmoothingParameter(double) - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Sets the smoothing value used to avoid zero WordGivenClass probabilities
smoothingParameterTipText() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Returns the tip text for this property

T

toString() - Method in class weka.classifiers.bayes.ComplementNaiveBayes
Prints out the internal model built by the classifier.

W

weka.classifiers.bayes - package weka.classifiers.bayes
 

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