de.lmu.ifi.dbs.elki.math.statistics.distribution

Class ExponentiallyModifiedGaussianDistribution.Parameterizer

java.lang.Object

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

de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

de.lmu.ifi.dbs.elki.math.statistics.distribution.ExponentiallyModifiedGaussianDistribution.Parameterizer

All Implemented Interfaces:

Parameterizer

Enclosing class:

ExponentiallyModifiedGaussianDistribution

public static class ExponentiallyModifiedGaussianDistribution.Parameterizer
extends AbstractDistribution.Parameterizer

Parameterization class

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	lambda Parameters.
(package private) double	mean Parameters.
(package private) double	stddev Parameters.

Fields inherited from class de.lmu.ifi.dbs.elki.math.statistics.distribution.AbstractDistribution.Parameterizer

LOCATION_ID, RANDOM_ID, rnd, SCALE_ID, SHAPE_ID

Constructor Summary

Constructors

Constructor and Description
ExponentiallyModifiedGaussianDistribution.Parameterizer()

Method Summary

Methods

Modifier and Type	Method and Description
protected ExponentiallyModifiedGaussianDistribution	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

mean

double mean

Parameters.

stddev

double stddev

Parameters.

lambda

double lambda

Parameters.

Constructor Detail

ExponentiallyModifiedGaussianDistribution.Parameterizer

public ExponentiallyModifiedGaussianDistribution.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 AbstractDistribution.Parameterizer

Parameters:

config - Parameterization to add options to.

makeInstance

protected ExponentiallyModifiedGaussianDistribution makeInstance()

Description copied from class: AbstractParameterizer

Make an instance after successful configuration.

Specified by:

makeInstance in class AbstractDistribution.Parameterizer

Returns:

instance