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NaiveBayes - Class in jncc20
Implements the Naive Bayes Classifier (NBC) with Laplace prior
NaiveBayes(ArrayList<int[]>, ArrayList<String>, ArrayList<String>, ArrayList<Integer>) - Constructor for class jncc20.NaiveBayes
Initializes all features and output classes; trains the classifier on TrainingSet.
NaiveClassifier - Class in jncc20
Abstract super-class for Naive Classifiers
NaiveClassifier(ArrayList<int[]>, ArrayList<String>, ArrayList<String>, ArrayList<Integer>, int) - Constructor for class jncc20.NaiveClassifier
Initializes all features and output classes; computes all the relevant conditionalFreq on the training set, setting the specified prior (0:0; 1:laplace; 2:uniform)
NaiveClassifier.Feature - Class in jncc20
Helper class for Naive Classifiers, that implements Mar and NonMar features.
NaiveClassifier.Feature(String, double[][], int[]) - Constructor for class jncc20.NaiveClassifier.Feature
Constructor that copies the name and the conditionalFreq table, and computes the log-probabilities table
NaiveClassifier.OutputClass - Class in jncc20
Helper class for Naive Classifiers, that implements the output class of the classification problem.
NaiveClassifier.OutputClass(String, double, double) - Constructor for class jncc20.NaiveClassifier.OutputClass
 
NaiveCredalClassifier2 - Class in jncc20
Implementation of the Naive Credal Classifier 2 (NCC2).
NaiveCredalClassifier2(ArrayList<int[]>, ArrayList<String>, ArrayList<String>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>, ArrayList<Integer>) - Constructor for class jncc20.NaiveCredalClassifier2
Builds feature and output class, and computes the relevant counts for MAR and NON-MAR features
NaiveCredalClassifier2.PartitionPoint - Class in jncc20
Helper class for NaiveCredal Classifier, used to store crossing points and minimizing tuples; it is used to deal with missing data in the NonMar part of the testing instances.
NaiveCredalClassifier2.PartitionPoint(double, int[], int[]) - Constructor for class jncc20.NaiveCredalClassifier2.PartitionPoint
 
NaiveCredalClassifier2.PartitionPoint(double, int) - Constructor for class jncc20.NaiveCredalClassifier2.PartitionPoint
 
name - Variable in class jncc20.NaiveClassifier.Feature
Name
name - Variable in class jncc20.NaiveClassifier.OutputClass
names of the output classes
nbc - Variable in class jncc20.Jncc
Naive Bayes classifier
nbcAccCurrentInst - Variable in class jncc20.Jncc.ResultsReporter
 
nbcAccNccImprecise - Variable in class jncc20.Jncc.ResultsReporter
 
nbcAccNccprecise - Variable in class jncc20.Jncc.ResultsReporter
 
nbcAccurate - Variable in class jncc20.Jncc.ResultsReporter
 
nbcConfMatrix - Variable in class jncc20.Jncc.ResultsReporter
 
ncc2 - Variable in class jncc20.Jncc
NCC2 classifier
nccConfMatrix - Variable in class jncc20.Jncc.ResultsReporter
 
nccImprecise - Variable in class jncc20.Jncc.ResultsReporter
 
nccImpreciseOutputSize - Variable in class jncc20.Jncc.ResultsReporter
 
nccPrecise - Variable in class jncc20.Jncc.ResultsReporter
 
nccPreciseAccurate - Variable in class jncc20.Jncc.ResultsReporter
 
nccSetAccurate - Variable in class jncc20.Jncc.ResultsReporter
 
nonMarFeatsTesting - Variable in class jncc20.Jncc
Names of NonMar features in testing
nonMarFeatsTraining - Variable in class jncc20.Jncc
Names of NonMar features in training
nonMarTesting - Variable in class jncc20.Jncc
Index of NonMar features positions in the current testing set (position might change during CV, as different variables can get discretized into a single bin)
nonMarTestingIdx - Variable in class jncc20.NaiveCredalClassifier2
Indexes of nonMarFeature in testing
nonMarTraining - Variable in class jncc20.Jncc
Index of NonMar features positions in the current training set (position might change during CV, as different variables can get discretized into a single bin)
nonMarTrainingIdx - Variable in class jncc20.NaiveCredalClassifier2
Indexes of nonMarFeature in training
notUsedFeatures - Variable in class jncc20.Jncc
Variables not used in the current experiment, because discretized in a single bin; indexes refer to rawDataset
numClasses - Variable in class jncc20.Jncc.ResultsReporter
 
numClasses - Variable in class jncc20.MdlDiscretizer
Total number of classes (immutable, hence final)
numClasses - Variable in class jncc20.NaiveClassifier
number of classes
numClassesNonMarTesting - Variable in class jncc20.Jncc
Number of classes of variables NonMar in the testing set.
numClassesNonMarTesting - Variable in class jncc20.NaiveCredalClassifier2
Number of classes of each NonMar variable in Testing
numClassForEachUsedFeature - Variable in class jncc20.Jncc
Number of classes for each used feature
numCvFolds - Variable in class jncc20.Jncc
Number of folds used by cross-validation
numCvRuns - Variable in class jncc20.Jncc
Number of Cross validation Runs
numFeatures - Variable in class jncc20.NaiveClassifier
number of features
numFlags - Variable in class jncc20.Jncc
Flags array, regarding wheter Features are numerical (1) or not (0)
numRuns - Variable in class jncc20.Jncc.ResultsReporter
how many training/testing experiments (1 for testing, num runs*num folds for CV) the predictions saved to file reg
numValues - Variable in class jncc20.NaiveClassifier
number of categories for categorical features and number of bins for numerical, then discretized, features .

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