Package elki.datasource.filter.typeconversions

Class SparseVectorFieldFilter<V extends SparseNumberVector>

java.lang.Object

elki.datasource.filter.AbstractConversionFilter<V,V>

elki.datasource.filter.typeconversions.SparseVectorFieldFilter<V>

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

Field Summary

Fields

Modifier and Type	Field	Description
private static Logging	LOG	Class logger.
(package private) int	maxdim	Maximum dimension.

Constructor Summary

Constructors

Constructor	Description
SparseVectorFieldFilter()	Constructor.

Method Summary

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

LOG

private static final Logging LOG

Class logger.

maxdim

int maxdim

Maximum dimension.

Constructor Detail

SparseVectorFieldFilter

public SparseVectorFieldFilter()

Constructor.

Method Detail

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 class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Parameters:

in - Input type information

Returns:

true or false

prepareProcessInstance

protected void prepareProcessInstance(V obj)

Description copied from class: AbstractConversionFilter

Process a single object during initialization.

Overrides:

prepareProcessInstance in class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Parameters:

obj - Object to process

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 class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Parameters:

obj - Database object to normalize

Returns:

Normalized database object

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 class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Returns:

Type restriction

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 class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Parameters:

in - input type restriction

Returns:

output type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractConversionFilter

Class logger.

Specified by:

getLogger in class AbstractConversionFilter<V extends SparseNumberVector,V extends SparseNumberVector>

Returns:

Logger