Module ojalgo

Package org.ojalgo.random.process

Class GaussianField<K extends Comparable<? super K>>

java.lang.Object

org.ojalgo.random.process.GaussianField<K>

public final class GaussianField<K extends Comparable<? super K>>
extends Object

This GaussianField class is a generalization, as well as the underlying implementation, of GaussianProcess. Prior to calling getDistribution(Comparable...) you must call addObservation(Comparable, double) one or more times.

Author:

apete

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	GaussianField.Covariance<K extends Comparable<? super K>>
static interface	GaussianField.Mean<K extends Comparable<? super K>>

Constructor Summary

Constructors

Constructor	Description
GaussianField(GaussianField.Covariance<K> covarFunc)
GaussianField(GaussianField.Mean<K> meanFunc, GaussianField.Covariance<K> covarFunc)

Method Summary

Modifier and Type	Method	Description
void	addObservation(K key, double value)
void	calibrate()
Normal1D	getDistribution(boolean cleanCovariances, K... evaluationPoint)
Normal1D	getDistribution(K... evaluationPoint)

Methods inherited from class java.lang.Object

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

Constructor Details

GaussianField

public GaussianField(GaussianField.Covariance<K> covarFunc)

GaussianField

public GaussianField(GaussianField.Mean<K> meanFunc,
 GaussianField.Covariance<K> covarFunc)

Method Details

addObservation

public void addObservation(K key,
 double value)

calibrate

public void calibrate()

getDistribution

public Normal1D getDistribution(boolean cleanCovariances,
 K... evaluationPoint)

getDistribution

public Normal1D getDistribution(K... evaluationPoint)