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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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