gov.sandia.cognition.statistics

Interface DistributionEstimator<ObservationType,DistributionType extends Distribution<? extends ObservationType>>

Type Parameters:

ObservationType - Type of observations from the Distribution

DistributionType - Type of Distribution estimated from the learner.

All Superinterfaces:

BatchLearner<java.util.Collection<? extends ObservationType>,DistributionType>, java.lang.Cloneable, CloneableSerializable, java.io.Serializable

All Known Implementing Classes:

BetaBinomialDistribution.MomentMatchingEstimator, BetaDistribution.MomentMatchingEstimator, BinomialDistribution.MaximumLikelihoodEstimator, DefaultDataDistribution.Estimator, ExponentialDistribution.MaximumLikelihoodEstimator, GammaDistribution.MomentMatchingEstimator, GeometricDistribution.MaximumLikelihoodEstimator, LaplaceDistribution.MaximumLikelihoodEstimator, LogNormalDistribution.MaximumLikelihoodEstimator, MixtureOfGaussians.EMLearner, MixtureOfGaussians.Learner, MultivariateGaussian.MaximumLikelihoodEstimator, NegativeBinomialDistribution.MaximumLikelihoodEstimator, PoissonDistribution.MaximumLikelihoodEstimator, ScalarDataDistribution.Estimator, ScalarMixtureDensityModel.EMLearner, StudentTDistribution.MaximumLikelihoodEstimator, UniformDistribution.MaximumLikelihoodEstimator, UniformIntegerDistribution.MaximumLikelihoodEstimator, UnivariateGaussian.MaximumLikelihoodEstimator

public interface DistributionEstimator<ObservationType,DistributionType extends Distribution<? extends ObservationType>>
extends BatchLearner<java.util.Collection<? extends ObservationType>,DistributionType>

A BatchLearner that estimates a Distribution.

Since:

3.0

Author:

Kevin R. Dixon

Method Summary

Methods inherited from interface gov.sandia.cognition.learning.algorithm.BatchLearner

learn

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone