de.lmu.ifi.dbs.elki.algorithm

Class DependencyDerivator.Parameterizer<V extends NumberVector>

java.lang.Object

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

de.lmu.ifi.dbs.elki.algorithm.AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V>

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

All Implemented Interfaces:

Parameterizer

Enclosing class:

DependencyDerivator<V extends NumberVector>

public static class DependencyDerivator.Parameterizer<V extends NumberVector>
extends AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V>

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected int	outputAccuracy Output accuracy.
protected PCAFilteredRunner	pca Class to compute PCA with
protected boolean	randomSample Flag to enable random sampling
protected int	sampleSize Sample size.

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

distanceFunction

Constructor Summary

Constructors

Constructor and Description
Parameterizer()

Method Summary

Modifier and Type	Method and Description
protected DependencyDerivator<V>	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

Output accuracy.

sampleSize

protected int sampleSize

Sample size.

randomSample

protected boolean randomSample

Flag to enable random sampling

pca

protected PCAFilteredRunner pca

Class to compute PCA with

Constructor Detail

Parameterizer

public 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 AbstractNumberVectorDistanceBasedAlgorithm.Parameterizer<V extends NumberVector>

Parameters:

config - Parameterization to add options to.

makeInstance

protected DependencyDerivator<V> makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractParameterizer

Returns:

instance