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P

pairVector - Variable in class jncc20.MdlDiscretizer
Vector of feature/class pairs
parseArffFile() - Method in class jncc20.ArffParser
Scans the main Arff file.
parseTestingArffFile(boolean) - Method in class jncc20.ArffParser
Parses the testing file, checking that all declarations are coherent with those already loaded from the training Arff file; if the classes are unknown, it reads only the instances, without looking for the classes.
partitionPoints - Variable in class jncc20.NaiveCredalClassifier
Partition Points, used when classyfing instances with missing units in the NonMar part.
possibleCutPoints - Variable in class jncc20.MdlDiscretizer
Numerical values of the feature, which constitues possible discretization intervals (i.e, possible cutPoints)
possibleCutPointsIdxInPairVector - Variable in class jncc20.MdlDiscretizer
Indexes of the possible cutPoints, with reference to PairVector
predictedInstances - Variable in class jncc20.NaiveBayes
Index of the class predicted for each instance
predictionsFile - Variable in class jncc20.Jncc.ResultsReporter
Where to look for predictions saved to file
predictionsToFileNbcNcc(int, int[], int[][]) - Method in class jncc20.Jncc
Dumps to file the predictions issued by both NBC and NCC on testing set(s).
predsFile - Variable in class jncc20.Jncc
Absolute Path of the predictions file for CV
prepareDataSetFromRawData(ArrayList<double[]>, ArrayList<int[]>) - Method in class jncc20.Jncc
Take a raw set of data (undiscretized features) and put them into a dataset to be accessed by classifiers; categorical variables are copied unchanged, while numerical variables are converted to categorical according to DiscretizationIntervals; numerical variables discretized into a unique bin (and hence listed in NonUsedFeatures) are discarded.

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