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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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