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C

categoryNames - Variable in class jncc20.ArffParser
Matrix of String with rows of different lenght, as different features (each row of the matrix corresponds to a different feature) can have different numbers of categories.
categoryNames - Variable in class jncc20.Jncc
Matrix of String with rows of different lenght, as different features (each row of the matrix corresponds to a different feature) can have different numbers of categories.
checkCredalDominanceCIR(int, int, int[], double, double) - Method in class jncc20.NaiveCredalClassifier
Computes the CIR test of dominance between class c1 and c2 (if the returned value is >1, c1 dominates c2)
classesNames - Variable in class jncc20.Jncc
Names of the output class.
classifyInstance(int[], int) - Method in class jncc20.NaiveBayes
Classify a single instance, writing the computed probabilities at position InstanceIdx of EstimatedProbabilities, and the predicted class at position InstanceIdx of PredictedInstances
classifyInstance(int[]) - Method in class jncc20.NaiveCredalClassifier
Classifies a single instance, returning the list of predicted classes
classifyInstances(ArrayList<int[]>) - Method in class jncc20.NaiveBayes
Classifies all the instances of the supplied TestingSet, writing the results of the computation into EstimatedProbabilities and PredictedInstances
classifyInstances(ArrayList<int[]>) - Method in class jncc20.NaiveCredalClassifier
Classify all the instances of the supplied TestingSet; stores the predictions into CredalPredictedInstances
classNames - Variable in class jncc20.ArffParser
Names of the output class.
classNames - Variable in class jncc20.Jncc.ResultsReporter
Names of the output class.
ClassValue - Variable in class jncc20.MdlDiscretizer.Pair
 
compareTo(Object) - Method in class jncc20.MdlDiscretizer.Pair
Compares two Pair objects for ordering.
compareTo(Object) - Method in class jncc20.NaiveCredalClassifier.PartitionPoint
 
computeDeriv2LnHxCIR(int, int, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, double) - Method in class jncc20.NaiveCredalClassifier
Computes the second derivative of Ln(Hx) (see Corani and Zaffalon, 2007)
computeDerivLnHxCIR(int, int, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, double) - Method in class jncc20.NaiveCredalClassifier
Computes the derivative of Ln(Hx) (see Corani and Zaffalon, 2007)
computeEntropy(int, int) - Method in class jncc20.MdlDiscretizer
Computes the entropy of the partion of pairVector comprised between the indexes lowerBound and upperBound
computeHxCIR(int, int, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, double) - Method in class jncc20.NaiveCredalClassifier
Computes Hx for a given value of x, alpha, beta ecc.
computePossibleCutPoints() - Method in class jncc20.MdlDiscretizer
Identifies the feature values that can constitute possible cutPoints (i.e., possible discretization intervals)
credalPredictedInstances - Variable in class jncc20.NaiveCredalClassifier
Stores NCC predictions; as every prediction can be imprecise and hence contain several value, it is implemented as a matrix.
crossingX - Variable in class jncc20.NaiveCredalClassifier.PartitionPoint
Value of the crossing point
cvFoldsIdx - Variable in class jncc20.Jncc
Indexes for cross validation: in which fold each row of RawDataset falls

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