Class SparseVectorFieldFilter<V extends SparseNumberVector>
- java.lang.Object
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- elki.datasource.filter.AbstractConversionFilter<V,V>
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- elki.datasource.filter.typeconversions.SparseVectorFieldFilter<V>
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- Type Parameters:
V
- Vector type
- All Implemented Interfaces:
ObjectFilter
public class SparseVectorFieldFilter<V extends SparseNumberVector> extends AbstractConversionFilter<V,V>
Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.- Since:
- 0.5.0
- Author:
- Erich Schubert
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Constructor Summary
Constructors Constructor Description SparseVectorFieldFilter()
Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected SimpleTypeInformation<? super V>
convertedType(SimpleTypeInformation<V> in)
Get the output type from the input type after conversion.protected V
filterSingleObject(V obj)
Normalize a single instance.protected SimpleTypeInformation<? super V>
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.protected Logging
getLogger()
Class logger.protected void
prepareProcessInstance(V obj)
Process a single object during initialization.protected boolean
prepareStart(SimpleTypeInformation<V> in)
Return "true" when the normalization needs initialization (two-pass filtering!).-
Methods inherited from class elki.datasource.filter.AbstractConversionFilter
filter, prepareComplete, toString
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Field Detail
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LOG
private static final Logging LOG
Class logger.
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maxdim
int maxdim
Maximum dimension.
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Method Detail
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prepareStart
protected boolean prepareStart(SimpleTypeInformation<V> in)
Description copied from class:AbstractConversionFilter
Return "true" when the normalization needs initialization (two-pass filtering!).- Overrides:
prepareStart
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Parameters:
in
- Input type information- Returns:
- true or false
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prepareProcessInstance
protected void prepareProcessInstance(V obj)
Description copied from class:AbstractConversionFilter
Process a single object during initialization.- Overrides:
prepareProcessInstance
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Parameters:
obj
- Object to process
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filterSingleObject
protected V filterSingleObject(V obj)
Description copied from class:AbstractConversionFilter
Normalize a single instance. You can implement this as UnsupportedOperationException if you override both public "normalize" functions!- Specified by:
filterSingleObject
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Parameters:
obj
- Database object to normalize- Returns:
- Normalized database object
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getInputTypeRestriction
protected SimpleTypeInformation<? super V> getInputTypeRestriction()
Description copied from class:AbstractConversionFilter
Get the input type restriction used for negotiating the data query.- Specified by:
getInputTypeRestriction
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Returns:
- Type restriction
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convertedType
protected SimpleTypeInformation<? super V> convertedType(SimpleTypeInformation<V> in)
Description copied from class:AbstractConversionFilter
Get the output type from the input type after conversion.- Specified by:
convertedType
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Parameters:
in
- input type restriction- Returns:
- output type restriction
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getLogger
protected Logging getLogger()
Description copied from class:AbstractConversionFilter
Class logger.- Specified by:
getLogger
in classAbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>
- Returns:
- Logger
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