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| Packages that use RNCMultiLabel | |
| relational.classifier | |
| Uses of RNCMultiLabel in relational.classifier |
| Subclasses of RNCMultiLabel in relational.classifier | |
class |
ProbRNMultiHopMultiLabel
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class |
ProbRNMultiLabel
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| Methods in relational.classifier with parameters of type RNCMultiLabel | |
void |
Iterative.RNstarMultiLabel(RNCMultiLabel cl,
weka.core.Instances test,
java.util.HashMap id2Label,
edu.uci.ics.jung.graph.impl.SparseGraph graph,
int Class,
java.util.HashMap expert,
java.util.HashMap result,
java.util.HashMap weights,
double th,
java.util.HashMap probabilities,
java.lang.String type)
Iterative method for Relational Neighbor Classifier, it uses a heterogenous, directed, weighted, bipartite graph All the classes of an instance are considered |
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