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

R

RNCMultiLabel - class relational.classifier.RNCMultiLabel.
 
RNCMultiLabel() - Constructor for class relational.classifier.RNCMultiLabel
 
RNstar(RelationalNeighborClassifier, Instances, SparseGraph, HashMap, HashMap, HashMap, String) - Method in class relational.classifier.Iterative
Iterative method for Relational Neighbor Classifier, it uses a homogenous, undirected, weighted graph Only the first class of an instance is considered
RNstarMultiLabel(RNCMultiLabel, Instances, HashMap, SparseGraph, int, HashMap, HashMap, HashMap, double, HashMap, String) - Method in class relational.classifier.Iterative
Iterative method for Relational Neighbor Classifier, it uses a heterogenous, directed, weighted, bipartite graph All the classes of an instance are considered
ReadXMLTraintest - class relational.helper.ReadXMLTraintest.
Class for Reading test and train set from xml files
ReadXMLTraintest() - Constructor for class relational.helper.ReadXMLTraintest
 
RelationalNeighborClassifier - class relational.classifier.RelationalNeighborClassifier.
Class contains the classifier Relational Neighbor Classifier
RelationalNeighborClassifier() - Constructor for class relational.classifier.RelationalNeighborClassifier
 
ResultPresentation - class relational.helper.ResultPresentation.
Class contains methods for representing results
ResultPresentation() - Constructor for class relational.helper.ResultPresentation
 
recall - Variable in class relational.classifier.Acmclassifier
 
recall - Variable in class relational.evaluation.EvaluationMethods
 
relational.helper - package relational.helper
 
relational.preprocessing - package relational.preprocessing
 
relaxationLabeling(Classifier, Instances, HashMap, SparseGraph, int, HashMap, HashMap, String) - Method in class relational.classifier.Iterative
Iterative method for Relational Neighbor Classifier, it uses a heterogenous, directed, weighted, bipartite graph Only the first classe of an instance is considered
relaxationLabeling(ProbRN2Hop, Instances, HashMap, SparseGraph, int, int, HashMap, HashMap, String) - Method in class relational.classifier.Iterative
Iterative Method for PRN2Hop, uses a bipartite graph Only the first class of an instance is considered
relaxationLabeling(ProbRNMultiHop, Instances, HashMap, SparseGraph, int, double, HashMap, HashMap, HashMap, String, int, int) - Method in class relational.classifier.Iterative
Iterative method for PRNMultiHop, uses a bipartite graph.
relaxationLabelingMultiLabel(ProbRNMultiLabel2Hop, Instances, HashMap, SparseGraph, int, HashMap, HashMap, double, int, HashMap, int, HashMap, String) - Method in class relational.classifier.Iterative
Iterative method for PRN2Hop.
relaxationLabelingMultiLabel(ProbRNMultiHopMultiLabel, Instances, HashMap, SparseGraph, int, HashMap, HashMap, double, double, int, HashMap, int, HashMap, HashMap, String, int) - Method in class relational.classifier.Iterative
Iterative method for PRNMultiHop All categories of an instance are considered (binary classification)
relaxationLabelingMultiLabel(ProbRNMultiLabel, Instances, HashMap, SparseGraph, int, HashMap, HashMap, HashMap, double, int, HashMap, String) - Method in class relational.classifier.Iterative
Iterative method for Probabilistic Relational Neighbor Classifier.
result - Variable in class relational.classifier.Acmclassifier
 
result - Variable in class relational.evaluation.EvaluationMethods
 
resultV - Variable in class relational.evaluation.EvaluationMethods
 

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