de.lmu.ifi.dbs.elki.algorithm

Class DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>

java.lang.Object

de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V,D>

de.lmu.ifi.dbs.elki.algorithm.DependencyDerivator.Parameterizer<V,D>

All Implemented Interfaces:

Parameterizer

Enclosing class:

DependencyDerivator<V extends NumberVector<V,?>,D extends Distance<D>>

public static class DependencyDerivator.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>
extends AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V,D>

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected int	outputAccuracy
protected PCAFilteredRunner<V>	pca
protected boolean	randomSample
protected int	sampleSize

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
DependencyDerivator.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
void	configAccuracy(Parameterization config)
void	configRandomSampleFlag(Parameterization config)
void	configSampleSize(Parameterization config)
protected DependencyDerivator<V,D>	makeInstance() Make an instance after successful configuration.
protected void	makeOptions(Parameterization config) Add all options.

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer

configure, make

Methods inherited from class java.lang.Object

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

Field Detail

outputAccuracy

protected int outputAccuracy

sampleSize

protected int sampleSize

randomSample

protected boolean randomSample

pca

protected PCAFilteredRunner<V extends NumberVector<V,?>> pca

Constructor Detail

DependencyDerivator.Parameterizer

public DependencyDerivator.Parameterizer()

Method Detail

makeOptions

protected void makeOptions(Parameterization config)

Description copied from class: AbstractParameterizer

Add all options. ALWAYS call super.makeOptions(config), unless you have a strong reason to do otherwise!

Overrides:

makeOptions in class AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer<V extends NumberVector<V,?>,D extends Distance<D>>

Parameters:

config - Parameterization to add options to.

configRandomSampleFlag

public void configRandomSampleFlag(Parameterization config)

configSampleSize

public void configSampleSize(Parameterization config)

configAccuracy

public void configAccuracy(Parameterization config)

makeInstance

protected DependencyDerivator<V,D> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance