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

S

Sampling - class relational.preprocessing.Sampling.
Class contains sampling methods
Sampling(HashMap, SparseGraph, String) - Constructor for class relational.preprocessing.Sampling
 
saveCM_html(String, String) - Method in class relational.evaluation.EvaluationMethods
 
saveCM_html(String, String, int[][]) - Method in class relational.evaluation.EvaluationMethods
 
saveCM_html_t(String, String) - Method in class relational.evaluation.EvaluationMethods
 
saveClassifier(String, Classifier[]) - Static method in class relational.helper.DataSetHelper
serialize a classifier
saveHashMap(String, HashMap) - Static method in class relational.helper.DataSetHelper
serialize hashmap
saveMatrix(String, double[][]) - Static method in class relational.helper.DataSetHelper
serialize matrix
saveRE_html(String, String) - Method in class relational.evaluation.EvaluationMethods
 
saveTrainTest(FastVector, String, boolean, int, String) - Static method in class relational.helper.DataSetHelper
Write training and test sets into a xml-file
saveVector(String, FastVector) - Static method in class relational.helper.DataSetHelper
serialize vector
saveVector(String, Vector) - Static method in class relational.helper.DataSetHelper
serialize vector
set - Variable in class relational.helper.ReadXMLTraintest
 
set1 - Variable in class relational.preprocessing.Sampling
 
set2 - Variable in class relational.preprocessing.Sampling
 
set3 - Variable in class relational.preprocessing.Sampling
 
set4 - Variable in class relational.preprocessing.Sampling
 
set5 - Variable in class relational.preprocessing.Sampling
 
setCategories(FastVector) - Method in class relational.types.BipartiteNode
 
setCategories(FastVector) - Method in class relational.types.Node
 
setId(int) - Method in class relational.types.BipartiteNode
 
setId(int) - Method in class relational.types.Node
 
setLabel(int) - Method in class relational.types.BipartiteNode
 
setLabel(int) - Method in class relational.types.Node
 
setName(String) - Method in class relational.types.BipartiteNode
 
setupInstTest(BipartiteNode, HashMap, Instance, int, int, HashMap) - Method in class relational.classifier.Acmclassifier
 
setupInstTestHet(BipartiteNode, HashMap, Instance, int, HashMap) - Static method in class relational.classifier.Acmclassifier
 
setupInstTestHom(Node, HashMap, Instance, int, HashMap) - Static method in class relational.classifier.Acmclassifier
 
setupInstTestHom(Node, HashMap, Instance, int, int, HashMap) - Method in class relational.classifier.Acmclassifier
 
setupInstTrain(BipartiteNode, HashMap, Instance, int, int, HashMap) - Method in class relational.classifier.Acmclassifier
 
setupInstTrainHet(BipartiteNode, HashMap, Instance, int, HashMap) - Static method in class relational.classifier.Acmclassifier
 
setupInstTrainHom(Node, HashMap, Instance, int, HashMap) - Static method in class relational.classifier.Acmclassifier
 
setupInstTrainHom(Node, HashMap, Instance, int, int, HashMap) - Method in class relational.classifier.Acmclassifier
 
setupInstances(FastVector, HashMap) - Static method in class relational.classifier.Acmclassifier
Creates new instances
setupInstancesBin(FastVector, int) - Method in class relational.classifier.Acmclassifier
Creates instances for binary classification (one-vs.rest approach)
setupInstancesBinStack(FastVector, int, HashMap[]) - Method in class relational.classifier.Acmclassifier
Creates new instances for Stacking (binary classification)
setupInstancesCosineSimBin(FastVector, int, HashMap) - Static method in class relational.classifier.Acmclassifier
Creates instances containing the cosine similarity to neighbors (IndRVS algorithm)
setupInstancesCount(FastVector, HashMap) - Static method in class relational.classifier.Acmclassifier
Creates new instances containing the values for the aggregation function WeightedCount
setupInstancesCountBin(FastVector, int, HashMap, String) - Static method in class relational.classifier.Acmclassifier
Creates new instances containing the values for the aggregation function WeightedCount (binary classification)
setupInstancesStack(FastVector, HashMap, HashMap[]) - Static method in class relational.classifier.Acmclassifier
Creates new instances for Stacking
setupInstancesWithNeighbors(FastVector, HashMap, HashMap, int, HashMap, HashMap, String) - Static method in class relational.classifier.Acmclassifier
Creates new instances for WeightedNaiveBayes
setupInstancesWithNeighborsBin(FastVector, HashMap, int, int, HashMap, HashMap, String) - Method in class relational.classifier.Acmclassifier
Creates new instances WeightedNaiveBayes (binary classification)
setupSparseInstHet(BipartiteNode, SparseInstance) - Static method in class relational.classifier.Acmclassifier
 
setupSparseInstHom(Node, SparseInstance) - Static method in class relational.classifier.Acmclassifier
 
split_sample(int) - Method in class relational.preprocessing.Sampling
Performs stratified cross-validation
start() - Method in class relational.evaluation.EvaluationMethods
 
start() - Method in class relational.helper.ReadXMLTraintest
 
start() - Method in class relational.preprocessing.XMLFilter
 
startElement(String, AttributeList) - Method in class relational.helper.ReadXMLTraintest
 
startElement(String, AttributeList) - Method in class relational.preprocessing.XMLFilter
 

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