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

Class WeightedUncertainSplitFilter

java.lang.Object

de.lmu.ifi.dbs.elki.datasource.filter.AbstractConversionFilter<NumberVector,WeightedDiscreteUncertainObject>

de.lmu.ifi.dbs.elki.datasource.filter.typeconversions.WeightedUncertainSplitFilter

All Implemented Interfaces:

ObjectFilter

public class WeightedUncertainSplitFilter
extends AbstractConversionFilter<NumberVector,WeightedDiscreteUncertainObject>

Filter to transform a single vector into a set of samples and weights to interpret as uncertain observation.

Since:

0.7.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

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

Field Summary

Fields

Modifier and Type	Field and Description
protected int	dims Data dimensionality.
private static Logging	LOG Class logger.
protected int	mod Modulo value for splitting.
protected int	probcol Column in which the probability is stored.

Constructor Summary

Constructors

Constructor and Description
WeightedUncertainSplitFilter(int dims, int probcol) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
protected SimpleTypeInformation<WeightedDiscreteUncertainObject>	convertedType(SimpleTypeInformation<NumberVector> in) Get the output type from the input type after conversion.
protected WeightedDiscreteUncertainObject	filterSingleObject(NumberVector vec) Normalize a single instance.
protected SimpleTypeInformation<? super NumberVector>	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Class logger.

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

filter, prepareComplete, prepareProcessInstance, prepareStart

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

Class logger.

dims

protected int dims

Data dimensionality.

mod

protected int mod

Modulo value for splitting.

probcol

protected int probcol

Column in which the probability is stored.

Constructor Detail

WeightedUncertainSplitFilter

public WeightedUncertainSplitFilter(int dims,
                            int probcol)

Constructor.

Parameters:

dims - Number of dimensions

probcol - Column in which probabilities are stored.

Method Detail

filterSingleObject

protected WeightedDiscreteUncertainObject filterSingleObject(NumberVector vec)

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<NumberVector,WeightedDiscreteUncertainObject>

Parameters:

vec - Database object to normalize

Returns:

Normalized database object

getInputTypeRestriction

protected SimpleTypeInformation<? super NumberVector> getInputTypeRestriction()

Description copied from class: AbstractConversionFilter

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

Specified by:

getInputTypeRestriction in class AbstractConversionFilter<NumberVector,WeightedDiscreteUncertainObject>

Returns:

Type restriction

convertedType

protected SimpleTypeInformation<WeightedDiscreteUncertainObject> convertedType(SimpleTypeInformation<NumberVector> in)

Description copied from class: AbstractConversionFilter

Get the output type from the input type after conversion.

Specified by:

convertedType in class AbstractConversionFilter<NumberVector,WeightedDiscreteUncertainObject>

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<NumberVector,WeightedDiscreteUncertainObject>

Returns:

Logger