de.lmu.ifi.dbs.elki.datasource.filter.transform

Class NumberVectorRandomFeatureSelectionFilter<V extends NumberVector<?>>

java.lang.Object

de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter<I,O>

de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter<V,V>

de.lmu.ifi.dbs.elki.datasource.filter.transform.NumberVectorRandomFeatureSelectionFilter<V>

Type Parameters:

V - vector type

All Implemented Interfaces:

BundleStreamSource, ObjectFilter, StreamFilter, InspectionUtilFrequentlyScanned

public class NumberVectorRandomFeatureSelectionFilter<V extends NumberVector<?>>
extends AbstractVectorStreamConversionFilter<V,V>

Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	NumberVectorRandomFeatureSelectionFilter.Parameterizer Parameterization class.

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.elki.datasource.bundle.BundleStreamSource

BundleStreamSource.Event

Field Summary

Fields

Modifier and Type	Field and Description
protected int	k Holds the desired cardinality of the subset of attributes selected for projection.
protected RandomFactory	rnd Holds a random generator.
protected BitSet	selectedAttributes The selected attributes.

Fields inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

factory

Fields inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

source

Constructor Summary

Constructors

Constructor and Description
NumberVectorRandomFeatureSelectionFilter(int dim, RandomFactory rnd) Constructor.

Method Summary

Methods

Modifier and Type	Method and 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.
(package private) void	initializeRandomAttributes(SimpleTypeInformation<V> in) Initialize random attributes.

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter

initializeOutputType

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamConversionFilter

data, getMeta, nextEvent

Methods inherited from class de.lmu.ifi.dbs.elki.datasource.filter.AbstractStreamFilter

filter, init

Methods inherited from class java.lang.Object

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

Field Detail

selectedAttributes

protected BitSet selectedAttributes

The selected attributes.

k

protected int k

Holds the desired cardinality of the subset of attributes selected for projection.

rnd

protected RandomFactory rnd

Holds a random generator.

Constructor Detail

NumberVectorRandomFeatureSelectionFilter

public NumberVectorRandomFeatureSelectionFilter(int dim,
                                        RandomFactory rnd)

Constructor.

Parameters:

dim - Dimensionality

rnd - Random generator

Method Detail

filterSingleObject

protected V filterSingleObject(V obj)

Description copied from class: AbstractStreamConversionFilter

Normalize a single instance. You can implement this as UnsupportedOperationException if you override both public "normalize" functions!

Specified by:

filterSingleObject in class AbstractStreamConversionFilter<V extends NumberVector<?>,V extends NumberVector<?>>

Parameters:

obj - Database object to normalize

Returns:

Normalized database object

getInputTypeRestriction

protected SimpleTypeInformation<? super V> getInputTypeRestriction()

Description copied from class: AbstractStreamConversionFilter

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in class AbstractStreamConversionFilter<V extends NumberVector<?>,V extends NumberVector<?>>

Returns:

Type restriction

convertedType

protected SimpleTypeInformation<? super V> convertedType(SimpleTypeInformation<V> in)

Description copied from class: AbstractStreamConversionFilter

Get the output type from the input type after conversion.

Specified by:

convertedType in class AbstractStreamConversionFilter<V extends NumberVector<?>,V extends NumberVector<?>>

Parameters:

in - input type restriction

Returns:

output type restriction

initializeRandomAttributes

void initializeRandomAttributes(SimpleTypeInformation<V> in)

Initialize random attributes. Invoke this from convertedType(de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation<V>)!

Parameters:

in - Type information.