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M

main(String[]) - Static method in class jncc20.Jncc
Arguments of the main: (1) the working path; (2) the name of the main ArrfFile; (3) "cv" or the name of the testing ArffFile; (4)[OPTIONAL] "unknownClasses", in case the actual classes of the testing set are unknown.
max(double[]) - Static method in class jncc20.ArrayUtils
Returns the maximum of an array
MdlDiscretizer - Class in jncc20
Implements recursive MDL-based supervised discretization (Fayyad and Irani, 1993)
MdlDiscretizer(ArrayList<Double>, ArrayList<Integer>, int) - Constructor for class jncc20.MdlDiscretizer
Computes the discretization intervals using the supplied class and feature vector; stores them into acceptedCutPoints
MdlDiscretizer.Pair - Class in jncc20
Helper class for MdlDiscretizer, which effectively stores feature-class pairs
MdlDiscretizer.Pair(double, int) - Constructor for class jncc20.MdlDiscretizer.Pair
 
minTupleLeft - Variable in class jncc20.NaiveCredalClassifier2.PartitionPoint
Tuple (i.e., realization of NonMar variables missing in the istance to classify), that minimize the objective function for values lower than crossingX
minTupleRight - Variable in class jncc20.NaiveCredalClassifier2.PartitionPoint
Tuple (i.e., realization of NonMar variables missing in the istance to classify), that minimize the objective function for values higher than crossingX
missing - Variable in class jncc20.NaiveClassifier.Feature
How many times the feature is missing, for every output class.
mxbean - Variable in class jncc20.Jncc
needed to track execution time

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