
public class UncertainSplitFilter extends AbstractConversionFilter<NumberVector,UnweightedDiscreteUncertainObject>
| Modifier and Type | Class and Description |
|---|---|
static class |
UncertainSplitFilter.Parameterizer
Parameterization class.
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| Modifier and Type | Field and Description |
|---|---|
private int |
dims
Data dimensionality.
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private static Logging |
LOG
Class logger.
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| Constructor and Description |
|---|
UncertainSplitFilter(int dims)
Constructor.
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| Modifier and Type | Method and Description |
|---|---|
protected SimpleTypeInformation<UnweightedDiscreteUncertainObject> |
convertedType(SimpleTypeInformation<NumberVector> in)
Get the output type from the input type after conversion.
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protected UnweightedDiscreteUncertainObject |
filterSingleObject(NumberVector vec)
Normalize a single instance.
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protected SimpleTypeInformation<? super NumberVector> |
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
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protected Logging |
getLogger()
Class logger.
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filter, prepareComplete, prepareProcessInstance, prepareStartprivate static final Logging LOG
private int dims
public UncertainSplitFilter(int dims)
dims - Number of dimensionsprotected UnweightedDiscreteUncertainObject filterSingleObject(NumberVector vec)
AbstractConversionFilterfilterSingleObject in class AbstractConversionFilter<NumberVector,UnweightedDiscreteUncertainObject>vec - Database object to normalizeprotected SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()
AbstractConversionFiltergetInputTypeRestriction in class AbstractConversionFilter<NumberVector,UnweightedDiscreteUncertainObject>protected SimpleTypeInformation<UnweightedDiscreteUncertainObject> convertedType(SimpleTypeInformation<NumberVector> in)
AbstractConversionFilterconvertedType in class AbstractConversionFilter<NumberVector,UnweightedDiscreteUncertainObject>in - input type restrictionprotected Logging getLogger()
AbstractConversionFiltergetLogger in class AbstractConversionFilter<NumberVector,UnweightedDiscreteUncertainObject>Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.