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G

gammaArr - Variable in class jncc20.NaiveCredalClassifier2
gamma array is defined for Mar features only; it contains conditional count with respect to class c1 after having dropped missing data
gammaln(double) - Method in class jncc20.NaiveClassifier
The gamma function is necessary in order to compute the marginal likelihood.
gammaTildeArr - Variable in class jncc20.NaiveCredalClassifier2
Sum of occurrences of class c1, considering only those instances of the learning set where the NonMar feature is non missing.
getClassCountAsMar(int) - Method in class jncc20.NaiveClassifier.Feature
 
getClassList(int) - Method in class jncc20.MdlDiscretizer
Returns the list of classes corresponding to a certain numerical value of a feature, within the PairVector.
getClassValue() - Method in class jncc20.MdlDiscretizer.Pair
 
getCondFrequencies(int) - Method in class jncc20.NaiveClassifier.Feature
 
getConditionalFreq() - Method in class jncc20.NaiveClassifier.Feature
 
getConditionalFrequencies(int, int) - Method in class jncc20.NaiveClassifier.Feature
 
getCrossingX() - Method in class jncc20.NaiveCredalClassifier2.PartitionPoint
 
getCutPoints() - Method in class jncc20.MdlDiscretizer
 
getDiscretizationIdx(Double, int) - Method in class jncc20.Jncc
Given a numerical value of a certain discretized feature, returns the index of the bin in which the value falls
getFeatureValue() - Method in class jncc20.MdlDiscretizer.Pair
 
getFrequency() - Method in class jncc20.NaiveClassifier.OutputClass
 
getLogProbability(int) - Method in class jncc20.NaiveClassifier.Feature
 
getLogProbability(int, int) - Method in class jncc20.NaiveClassifier.Feature
 
getLogProbability() - Method in class jncc20.NaiveClassifier.Feature
 
getLogProbability() - Method in class jncc20.NaiveClassifier.OutputClass
 
getMinimizingTupleLeft() - Method in class jncc20.NaiveCredalClassifier2.PartitionPoint
 
getMinimizingTupleRight() - Method in class jncc20.NaiveCredalClassifier2.PartitionPoint
 
getMissing() - Method in class jncc20.NaiveClassifier.Feature
 
getMissing(int) - Method in class jncc20.NaiveClassifier.Feature
 
getName() - Method in class jncc20.NaiveClassifier.Feature
 
getName() - Method in class jncc20.NaiveClassifier.OutputClass
 
getOutputClasses() - Method in class jncc20.NaiveClassifier
 
getPredictions() - Method in class jncc20.NaiveBayes
 
getPredictions() - Method in class jncc20.NaiveCredalClassifier2
Returns the matrix of the predictions
getPredictions(int) - Method in class jncc20.NaiveCredalClassifier2
Returns the vector, which contains the prediction for instance in position idx
getProbabilities() - Method in class jncc20.NaiveBayes
 
getUncondFrequencies() - Method in class jncc20.NaiveClassifier.Feature
 

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