Uses of Package
jsat.distributions.multivariate

Packages that use jsat.distributions.multivariate

Package	Description
jsat.classifiers.bayesian
jsat.clustering
jsat.distributions.multivariate
jsat.regression

Classes in jsat.distributions.multivariate used by jsat.classifiers.bayesian

Class and Description
MultivariateDistribution This interface represents the contract that any continuous multivariate distribution must implement

Classes in jsat.distributions.multivariate used by jsat.clustering

Class and Description
MultivariateDistribution This interface represents the contract that any continuous multivariate distribution must implement
MultivariateKDE There are several methods of generalizing the KernelDensityEstimator to the multivariate case.

Classes in jsat.distributions.multivariate used by jsat.distributions.multivariate

Class and Description
Dirichlet An implementation of the Dirichlet distribution.
MetricKDE MetricKDE is a generalization of the KernelDensityEstimator to the multivariate case.
MultivariateDistribution This interface represents the contract that any continuous multivariate distribution must implement
MultivariateDistributionSkeleton Common class for implementing a multivariate distribution.
MultivariateKDE There are several methods of generalizing the KernelDensityEstimator to the multivariate case.
NormalM Class for the multivariate Normal distribution.
ProductKDE The Product Kernel Density Estimator is a generalization of the KernelDensityEstimator to the multivariate case.
SymmetricDirichlet The Symmetric Dirichlet Distribution is a special case of the Dirichlet distribution, and occurs when all alphas have the same value.

Classes in jsat.distributions.multivariate used by jsat.regression

Class and Description
MultivariateKDE There are several methods of generalizing the KernelDensityEstimator to the multivariate case.