Package elki.algorithm

Class DependencyDerivator.Par<V extends NumberVector>

java.lang.Object

elki.algorithm.DependencyDerivator.Par<V>

All Implemented Interfaces:

Parameterizer

Enclosing class:

DependencyDerivator<V extends NumberVector>

public static class DependencyDerivator.Par<V extends NumberVector>
extends java.lang.Object
implements Parameterizer

Parameterization class.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
static OptionID	DEPENDENCY_DERIVATOR_RANDOM_SAMPLE_ID	Flag to use random sample (use knn query around centroid, if flag is not set).
protected NumberVectorDistance<? super V>	distance	The distance function to use.
protected EigenPairFilter	filter	Filter to select eigenvectors.
static OptionID	OUTPUT_ACCURACY_ID	Parameter to specify the threshold for output accuracy fraction digits, must be an integer equal to or greater than 0.
protected int	outputAccuracy	Output accuracy.
protected PCARunner	pca	Class to compute PCA with
protected boolean	randomSample	Flag to enable random sampling
static OptionID	SAMPLE_SIZE_ID	Optional parameter to specify the threshold for the size of the random sample to use, must be an integer greater than 0.
protected int	sampleSize	Sample size.

Constructor Summary

Constructors

Constructor	Description
Par()

Method Summary

Modifier and Type	Method	Description
void	configure(Parameterization config)	Configure the class.
DependencyDerivator<V>	make()	Make an instance after successful configuration.

Methods inherited from class java.lang.Object

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

Field Detail

DEPENDENCY_DERIVATOR_RANDOM_SAMPLE_ID

public static final OptionID DEPENDENCY_DERIVATOR_RANDOM_SAMPLE_ID

Flag to use random sample (use knn query around centroid, if flag is not set).

OUTPUT_ACCURACY_ID

public static final OptionID OUTPUT_ACCURACY_ID

Parameter to specify the threshold for output accuracy fraction digits, must be an integer equal to or greater than 0.

SAMPLE_SIZE_ID

public static final OptionID SAMPLE_SIZE_ID

Optional parameter to specify the threshold for the size of the random sample to use, must be an integer greater than 0.

distance

protected NumberVectorDistance<? super V extends NumberVector> distance

The distance function to use.

outputAccuracy

protected int outputAccuracy

Output accuracy.

sampleSize

protected int sampleSize

Sample size.

randomSample

protected boolean randomSample

Flag to enable random sampling

pca

protected PCARunner pca

Class to compute PCA with

filter

protected EigenPairFilter filter

Filter to select eigenvectors.

Constructor Detail

Par

public Par()

Method Detail

configure

public void configure(Parameterization config)

Description copied from interface: Parameterizer

Configure the class.

Note: the status is collected by the parameterization object, so that multiple errors may arise and be reported in one run.

Specified by:

configure in interface Parameterizer

Parameters:

config - Parameterization

make

public DependencyDerivator<V> make()

Description copied from interface: Parameterizer

Make an instance after successful configuration.

Note: your class should return the exact type, only this very broad interface should use Object as return type.

Specified by:

make in interface Parameterizer

Returns:

a new instance