Uses of Class
gov.sandia.cognition.util.AbstractNamed

Packages that use AbstractNamed

Package	Description
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.bayesian.conjugate	Provides Bayesian estimation routines based on conjugate prior distribution of parameters of specific conditional distributions.
gov.sandia.cognition.text.document	Provides representations for textual documents.
gov.sandia.cognition.util	Provides general utility classes.

Uses of AbstractNamed in gov.sandia.cognition.statistics

Subclasses of AbstractNamed in gov.sandia.cognition.statistics

Modifier and Type	Class and Description
class	DefaultDistributionParameter<ParameterType,ConditionalType extends ClosedFormDistribution<?>> Default implementation of DistributionParameter using introspection.

Uses of AbstractNamed in gov.sandia.cognition.statistics.bayesian

Subclasses of AbstractNamed in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Class and Description
class	AbstractBayesianParameter<ParameterType,ConditionalType extends ClosedFormDistribution<?>,PriorType extends Distribution<ParameterType>> Partial implementation of BayesianParameter
class	DefaultBayesianParameter<ParameterType,ConditionalType extends ClosedFormDistribution<?>,PriorType extends Distribution<ParameterType>> Default implementation of BayesianParameter using reflection.

Methods in gov.sandia.cognition.statistics.bayesian that return AbstractNamed

Modifier and Type	Method and Description
AbstractNamed	AbstractBayesianParameter.clone()

Uses of AbstractNamed in gov.sandia.cognition.statistics.bayesian.conjugate

Subclasses of AbstractNamed in gov.sandia.cognition.statistics.bayesian.conjugate

Modifier and Type	Class and Description
static class	BernoulliBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	BinomialBayesianEstimator.Parameter Parameter of this relationship
static class	ExponentialBayesianEstimator.Parameter Bayesian parameter describing this conjugate relationship.
static class	GammaInverseScaleBayesianEstimator.Parameter Bayesian parameter describing this conjugate relationship.
static class	MultinomialBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	MultivariateGaussianMeanBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	MultivariateGaussianMeanCovarianceBayesianEstimator.Parameter Parameter for this conjugate prior estimator.
static class	PoissonBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	UniformDistributionBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	UnivariateGaussianMeanBayesianEstimator.Parameter Parameter of this conjugate prior relationship.
static class	UnivariateGaussianMeanVarianceBayesianEstimator.Parameter Parameter for this conjugate prior estimator.

Uses of AbstractNamed in gov.sandia.cognition.text.document

Subclasses of AbstractNamed in gov.sandia.cognition.text.document

Modifier and Type	Class and Description
class	AbstractDocument An abstract implementation of the Document interface.
class	AbstractField An abstract implementation of the Field interface.
class	DefaultDateField A field for storing a date.
class	DefaultDocument A default implementation of the Document interface.
class	DefaultTextField A default implementation of the Field interface.

Uses of AbstractNamed in gov.sandia.cognition.util

Subclasses of AbstractNamed in gov.sandia.cognition.util

Modifier and Type	Class and Description
class	DefaultNamedValue<ValueType> The DefaultNamedValue class implements a container of a name-value pair.

Methods in gov.sandia.cognition.util that return AbstractNamed

Modifier and Type	Method and Description
AbstractNamed	AbstractNamed.clone()