A B C D E F G I L M N P R S T W X

C

c_matrix - Variable in class relational.evaluation.EvaluationMethods
 
characters(char[], int, int) - Method in class relational.helper.ReadXMLTraintest
 
characters(char[], int, int) - Method in class relational.preprocessing.XMLFilter
 
classes - Variable in class relational.evaluation.EvaluationMethods
 
classified - Variable in class relational.classifier.Iterative
 
classifyInstance(Instance, double[]) - Method in class relational.classifier.ProbRNClassifier
Classifies an instance according to the class probability distribution
classifyInstance(Instance, double[], int, double, HashMap) - Method in class relational.classifier.ProbRNMultiLabel
Classifies an instance according to the class probability distribution
classifyInstance(Instance, SparseGraph, int, HashMap, HashMap, double, HashMap, String) - Method in class relational.classifier.RNCMultiLabel
Classifies an instance
classifyInstance(Instance, SparseGraph, HashMap, HashMap, HashMap, String) - Method in class relational.classifier.RelationalNeighborClassifier
Classifies an instance
classifyInstance(Instance, double[], HashMap) - Method in class relational.classifier.WeightedNaiveBayes
 
cm_cut - Variable in class relational.evaluation.EvaluationMethods
 
cm_dif - Variable in class relational.evaluation.EvaluationMethods
 
cm_dif2 - Variable in class relational.evaluation.EvaluationMethods
 
cm_h - Variable in class relational.evaluation.EvaluationMethods
 
cm_t - Variable in class relational.evaluation.EvaluationMethods
 
combineModelsVoting(HashMap[], int) - Method in class relational.classifier.Acmclassifier
Combine models by using Voting
combineModelsVotingMulti(int, double, HashMap[]) - Method in class relational.classifier.Acmclassifier
Combine models by using Voting
computeAccuracy(Hashtable, String) - Static method in class relational.evaluation.EvaluationMethods
 
computeAccuracyInst(Hashtable) - Static method in class relational.evaluation.EvaluationMethods
 
computeDistribution(Instances) - Static method in class relational.helper.DataSetHelper
Computes distribution of instances (regarding the categories)
computeNumLabeledInstances(Set, HashMap, SparseGraph, String) - Method in class relational.classifier.RNCMultiLabel
 
computeNumLabeledInstances(SparseGraph, Set, HashMap, String) - Method in class relational.classifier.RelationalNeighborClassifier
 
computePriors(Instances) - Method in class relational.classifier.RNCMultiLabel
 
computePriors(FastVector, int, String) - Static method in class relational.helper.DataSetHelper
Computes the prior from the training set (for binary classification)
computePriors(FastVector, HashMap, String) - Static method in class relational.helper.DataSetHelper
Computes the prior from the training set
confusionMatrix(Hashtable, int, String) - Method in class relational.evaluation.EvaluationMethods
 
confusionMatrixInst(Hashtable, int) - Method in class relational.evaluation.EvaluationMethods
 
countNeighborsClassesMultiLabelTest(FastVector, int, HashMap, HashMap, HashMap) - Static method in class relational.helper.DataSetHelper
Counts the frequency (weighted by their probabilities) of the classes of neighbors in the test set (for binary classification)
countNeighborsClassesMultiLabelTest(FastVector, int, HashMap, HashMap, HashMap) - Method in class relational.types.BipartGraph
Counts the frequency of the categories of neighbors of an instance (for binary classification)
countNeighborsClassesMultiLabelTrain(FastVector, HashMap, HashMap, HashMap, int) - Static method in class relational.helper.DataSetHelper
Counts the frequency of the classes of neighbors in the train set (for binary classification)
countNeighborsClassesMultiLabelTrain(FastVector, HashMap, HashMap, HashMap) - Method in class relational.types.BipartGraph
Counts the frequency of the categories of neighbors of an instance (for binary classification)
countNeighborsClassesTest(FastVector, HashMap, HashMap, HashMap, int) - Static method in class relational.helper.DataSetHelper
Counts the frequency (weighted by their probabilities) of the classes of neighbors in the test set
countNeighborsClassesTest(FastVector, HashMap, HashMap, HashMap) - Method in class relational.types.BipartGraph
Counts the frequency of the categories of neighbors of an instance
countNeighborsClassesTrain(FastVector, HashMap, HashMap, HashMap, int) - Static method in class relational.helper.DataSetHelper
Counts the frequency of the classes of neighbors in the train set
countNeighborsClassesTrain(FastVector, HashMap, HashMap, HashMap) - Method in class relational.types.BipartGraph
Counts the frequency of the categories of neighbors of an instance
cut - Variable in class relational.evaluation.EvaluationMethods
 

A B C D E F G I L M N P R S T W X