Uses of Interface
gov.sandia.cognition.statistics.DistributionEstimator

Packages that use DistributionEstimator

Package	Description
gov.sandia.cognition.learning.algorithm.bayes	Provides algorithms for computing Bayesian categorizers.
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.

Uses of DistributionEstimator in gov.sandia.cognition.learning.algorithm.bayes

Fields in gov.sandia.cognition.learning.algorithm.bayes declared as DistributionEstimator

Modifier and Type	Field and Description
protected DistributionEstimator<? super java.lang.Double,? extends DistributionType>	VectorNaiveBayesCategorizer.Learner.distributionEstimator The distributionLearner for the distribution of each dimension of each category.

Methods in gov.sandia.cognition.learning.algorithm.bayes that return DistributionEstimator

Modifier and Type	Method and Description
DistributionEstimator<? super java.lang.Double,? extends DistributionType>	VectorNaiveBayesCategorizer.Learner.getDistributionEstimator() Gets the estimation method for the distribution of each dimension of each category.

Methods in gov.sandia.cognition.learning.algorithm.bayes with parameters of type DistributionEstimator

Modifier and Type	Method and Description
void	VectorNaiveBayesCategorizer.Learner.setDistributionEstimator(DistributionEstimator<? super java.lang.Double,? extends DistributionType> distributionEstimator) Sets the estimation method for the distribution of each dimension of each category.

Constructors in gov.sandia.cognition.learning.algorithm.bayes with parameters of type DistributionEstimator

Constructor and Description
Learner(DistributionEstimator<? super java.lang.Double,? extends DistributionType> distributionEstimator) Creates a new BatchLearner with the given distribution estimator.

Uses of DistributionEstimator in gov.sandia.cognition.statistics

Methods in gov.sandia.cognition.statistics that return DistributionEstimator

Modifier and Type	Method and Description
DistributionEstimator<DataType,? extends DataDistribution<DataType>>	DataDistribution.getEstimator()
DistributionEstimator<ObservationType,? extends DistributionType>	EstimableDistribution.getEstimator() Gets an estimator associated with this distribution.

Uses of DistributionEstimator in gov.sandia.cognition.statistics.distribution

Classes in gov.sandia.cognition.statistics.distribution that implement DistributionEstimator

Modifier and Type	Class and Description
static class	BetaBinomialDistribution.MomentMatchingEstimator Estimates the parameters of a Beta-binomial distribution using the matching of moments, not maximum likelihood.
static class	BetaDistribution.MomentMatchingEstimator Estimates the parameters of a Beta distribution using the matching of moments, not maximum likelihood.
static class	BinomialDistribution.MaximumLikelihoodEstimator Maximum likelihood estimator of the distribution
static class	DefaultDataDistribution.Estimator<KeyType> Estimator for a DefaultDataDistribution
static class	ExponentialDistribution.MaximumLikelihoodEstimator Creates a ExponentialDistribution from data
static class	GammaDistribution.MomentMatchingEstimator Computes the parameters of a Gamma distribution by the Method of Moments
static class	GeometricDistribution.MaximumLikelihoodEstimator Maximum likelihood estimator of the distribution
static class	LaplaceDistribution.MaximumLikelihoodEstimator Estimates the ML parameters of a Laplace distribution from a Collection of Numbers.
static class	LogNormalDistribution.MaximumLikelihoodEstimator Maximum Likelihood Estimator of a log-normal distribution.
static class	MixtureOfGaussians.EMLearner An Expectation-Maximization based "soft" assignment learner.
static class	MixtureOfGaussians.Learner A hard-assignment learner for a MixtureOfGaussians
static class	MultivariateGaussian.MaximumLikelihoodEstimator Computes the Maximum Likelihood Estimate of the MultivariateGaussian given a set of Vectors
static class	NegativeBinomialDistribution.MaximumLikelihoodEstimator Maximum likelihood estimator of the distribution
static class	PoissonDistribution.MaximumLikelihoodEstimator Creates a PoissonDistribution from data
static class	ScalarDataDistribution.Estimator Estimator for a ScalarDataDistribution
static class	ScalarMixtureDensityModel.EMLearner An EM learner that estimates a mixture model from data
static class	StudentTDistribution.MaximumLikelihoodEstimator Estimates the parameters of the Student-t distribution from the given data, where the degrees of freedom are estimated from the Kurtosis of the sample data.
static class	UniformDistribution.MaximumLikelihoodEstimator Maximum Likelihood Estimator of a uniform distribution.
static class	UniformIntegerDistribution.MaximumLikelihoodEstimator Implements a maximum likelihood estimator for the discrete uniform distribution.
static class	UnivariateGaussian.MaximumLikelihoodEstimator Creates a UnivariateGaussian from data

Methods in gov.sandia.cognition.statistics.distribution that return DistributionEstimator

Modifier and Type	Method and Description
DistributionEstimator<KeyType,? extends DataDistribution<KeyType>>	DefaultDataDistribution.getEstimator()