Uses of Class
elki.svm.model.RegressionModel
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Packages that use RegressionModel Package Description elki.clustering.svm elki.svm elki.svm.model -
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Uses of RegressionModel in elki.clustering.svm
Methods in elki.clustering.svm with parameters of type RegressionModel Modifier and Type Method Description private boolean
SupportVectorClustering. accept(NumberVector cur, RegressionModel model, double fixed, ArrayDBIDs ids, SimilarityQuery<NumberVector> sim, double r_square)
evaluate if a point cur is inside the sphere in kernel space.private double
SupportVectorClustering. calcfixedpart(RegressionModel model, ArrayDBIDs ids, SimilarityQuery<NumberVector> sim)
calculate fixed part of model evaluationprivate boolean
SupportVectorClustering. checkConnectivity(Relation<NumberVector> relation, double[] start, DBIDRef destRef, RegressionModel model, double fixed, ArrayDBIDs ids, SimilarityQuery<NumberVector> sim, double r_squared)
Checks if the connecting line between start and dest lies inside the kernel space sphere. -
Uses of RegressionModel in elki.svm
Methods in elki.svm that return RegressionModel Modifier and Type Method Description RegressionModel
AbstractSVR. train(DataSet x)
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Uses of RegressionModel in elki.svm.model
Subclasses of RegressionModel in elki.svm.model Modifier and Type Class Description class
ProbabilisticRegressionModel
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