jsat.distributions.multivariate

Class MultivariateDistributionSkeleton

java.lang.Object

jsat.distributions.multivariate.MultivariateDistributionSkeleton

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, MultivariateDistribution

Direct Known Subclasses:

Dirichlet, MultivariateKDE, NormalM, SymmetricDirichlet

public abstract class MultivariateDistributionSkeleton
extends java.lang.Object
implements MultivariateDistribution

Common class for implementing a multivariate distribution. A number of methods are pre implemented, building off of the implementation of the remaining methods.
Note: the default implementation for the multithreaded methods calls the non threaded version of the method. The exception to this is the #setUsingData(jsat.DataSet, java.util.concurrent.ExecutorService) method, which calls #setUsingData(java.util.List, java.util.concurrent.ExecutorService)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MultivariateDistributionSkeleton()

Method Summary

Modifier and Type	Method and Description
abstract MultivariateDistribution	clone()
double	logPdf(Vec x) Computes the log of the probability density function.

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.distributions.multivariate.MultivariateDistribution

logPdf, pdf, pdf, sample, setUsingData, setUsingData, setUsingData, setUsingData, setUsingDataList

Constructor Detail

MultivariateDistributionSkeleton

public MultivariateDistributionSkeleton()

Method Detail

logPdf

public double logPdf(Vec x)

Description copied from interface: MultivariateDistribution

Computes the log of the probability density function. If the probability of the input is zero, the log of zero would be Double.NEGATIVE_INFINITY. Instead, -Double.MAX_VALUE is returned.

Specified by:

logPdf in interface MultivariateDistribution

Parameters:

x - the vector the get the log probability of

Returns:

the log of the probability.

clone

public abstract MultivariateDistribution clone()

Specified by:

clone in interface MultivariateDistribution

Overrides:

clone in class java.lang.Object