de.lmu.ifi.dbs.elki.algorithm

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

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

Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
protected int	outputAccuracy Output accuracy.
protected PCAFilteredRunner<V>	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.AbstractPrimitiveDistanceBasedAlgorithm.Parameterizer

distanceFunction

Constructor Summary

Constructors

Constructor and Description
DependencyDerivator.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
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

Output accuracy.

sampleSize

protected int sampleSize

Sample size.

randomSample

protected boolean randomSample

Flag to enable random sampling

pca

protected PCAFilteredRunner<V extends NumberVector<?>> pca

Class to compute PCA with

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<?>,D extends Distance<D>>

Parameters:

config - Parameterization to add options to.

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