org.openimaj.math.statistics.distribution.metrics

Class SampledMultivariateDistanceComparator

java.lang.Object

org.openimaj.math.statistics.distribution.metrics.SampledMultivariateDistanceComparator

All Implemented Interfaces:

DistanceComparator<MultivariateDistribution>

public class SampledMultivariateDistanceComparator
extends Object
implements DistanceComparator<MultivariateDistribution>

By sampling a distribution and calculating the log liklihood of those samples against another distribution, construct a distance metric. This function uses MultivariateDistribution.estimateLogProbability(double[][])

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
SampledMultivariateDistanceComparator()
SampledMultivariateDistanceComparator(int nsamples)
SampledMultivariateDistanceComparator(long seed, int nsamples)

Method Summary

Modifier and Type	Method and Description
double	compare(MultivariateDistribution o1, MultivariateDistribution o2)
boolean	isDistance()

Methods inherited from class java.lang.Object

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

Constructor Detail

SampledMultivariateDistanceComparator

public SampledMultivariateDistanceComparator()

SampledMultivariateDistanceComparator

public SampledMultivariateDistanceComparator(int nsamples)

Parameters:

nsamples -

SampledMultivariateDistanceComparator

public SampledMultivariateDistanceComparator(long seed,
                                             int nsamples)

Parameters:

seed -

nsamples -

Method Detail

compare

public double compare(MultivariateDistribution o1,
                      MultivariateDistribution o2)

Specified by:

compare in interface DistanceComparator<MultivariateDistribution>

isDistance

public boolean isDistance()

Specified by:

isDistance in interface DistanceComparator<MultivariateDistribution>