Uses of Interface
gov.sandia.cognition.util.NamedValue

Packages that use NamedValue

Package	Description
gov.sandia.cognition.algorithm	Provides general interfaces and implementations for algorithms.
gov.sandia.cognition.learning.algorithm.annealing	Provides the Simulated Annealing algorithm.
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.factor.machine	Provides factorization machine algorithms.
gov.sandia.cognition.learning.algorithm.genetic	Provides a genetic algorithm implementation.
gov.sandia.cognition.learning.algorithm.hmm	Provides hidden Markov model (HMM) algorithms.
gov.sandia.cognition.learning.algorithm.pca	Provides implementations of Principle Components Analysis (PCA).
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.perceptron.kernel
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.learning.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
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.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
gov.sandia.cognition.util	Provides general utility classes.

Uses of NamedValue in gov.sandia.cognition.algorithm

Methods in gov.sandia.cognition.algorithm that return NamedValue

Modifier and Type	Method and Description
static <ResultType> NamedValue<java.lang.Double>	ParallelUtil.compareTimes(java.util.Collection<? extends java.util.concurrent.Callable<ResultType>> tasks) Compares the times needed by running the tasks sequentially versus parallel.
static <ResultType> NamedValue<java.lang.Double>	ParallelUtil.compareTimes(java.util.Collection<? extends java.util.concurrent.Callable<ResultType>> tasks, java.util.concurrent.ThreadPoolExecutor threadPool) Compares the times needed by running the tasks sequentially versus parallel.
NamedValue<? extends java.lang.Number>	MeasurablePerformanceAlgorithm.getPerformance() Gets the name-value pair that describes the current performance of the algorithm.

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.annealing

Methods in gov.sandia.cognition.learning.algorithm.annealing that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	SimulatedAnnealer.getPerformance() Gets the performance, which is the best score so far.

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.clustering

Methods in gov.sandia.cognition.learning.algorithm.clustering that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Integer>	AffinityPropagation.getPerformance() Gets the performance, which is the number changed on the last iteration.
NamedValue<java.lang.Integer>	DirichletProcessClustering.getPerformance()
NamedValue<java.lang.Integer>	KMeansClusterer.getPerformance() Gets the performance, which is the number changed on the last iteration.

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.factor.machine

Methods in gov.sandia.cognition.learning.algorithm.factor.machine that return NamedValue

Modifier and Type	Method and Description
NamedValue<? extends java.lang.Number>	FactorizationMachineAlternatingLeastSquares.getPerformance()
NamedValue<? extends java.lang.Number>	FactorizationMachineStochasticGradient.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.genetic

Methods in gov.sandia.cognition.learning.algorithm.genetic that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	GeneticAlgorithm.getPerformance() Gets the performance, which is the cost of the best genome.

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.hmm

Methods in gov.sandia.cognition.learning.algorithm.hmm that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	AbstractBaumWelchAlgorithm.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.pca

Methods in gov.sandia.cognition.learning.algorithm.pca that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	GeneralizedHebbianAlgorithm.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.perceptron

Methods in gov.sandia.cognition.learning.algorithm.perceptron that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Integer>	BatchMultiPerceptron.getPerformance() Gets the performance, which is the error count on the last iteration.
NamedValue<java.lang.Integer>	Perceptron.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.perceptron.kernel

Methods in gov.sandia.cognition.learning.algorithm.perceptron.kernel that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Integer>	KernelAdatron.getPerformance()
NamedValue<java.lang.Integer>	KernelPerceptron.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.regression

Methods in gov.sandia.cognition.learning.algorithm.regression that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	AbstractMinimizerBasedParameterCostMinimizer.getPerformance() Gets the performance, which is the cost of the minimizer on the last iteration.
NamedValue<java.lang.Double>	AbstractParameterCostMinimizer.getPerformance()
NamedValue<java.lang.Integer>	KernelBasedIterativeRegression.getPerformance() Gets the performance, which is the error count on the last iteration.

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.root

Methods in gov.sandia.cognition.learning.algorithm.root that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	AbstractRootFinder.getPerformance()

Uses of NamedValue in gov.sandia.cognition.learning.algorithm.svm

Methods in gov.sandia.cognition.learning.algorithm.svm that return NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	SuccessiveOverrelaxation.getPerformance() Gets the performance, which is the total change on the last iteration.

Uses of NamedValue in gov.sandia.cognition.learning.function.vector

Methods in gov.sandia.cognition.learning.function.vector that return NamedValue

Modifier and Type	Method and Description
NamedValue<? extends java.lang.Number>	GaussianContextRecognizer.Learner.getPerformance()

Uses of NamedValue in gov.sandia.cognition.statistics

Subinterfaces of NamedValue in gov.sandia.cognition.statistics

Modifier and Type	Interface and Description
interface	DistributionParameter<ParameterType,ConditionalType extends Distribution<?>> Allows access to a parameter within a closed-form distribution, given by the high-level String value.

Classes in gov.sandia.cognition.statistics that implement NamedValue

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

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

Subinterfaces of NamedValue in gov.sandia.cognition.statistics.bayesian

Modifier and Type	Interface and Description
interface	BayesianParameter<ParameterType,ConditionalType extends Distribution<?>,PriorType extends Distribution<ParameterType>> A parameter from a Distribution that has an assumed Distribution of values.

Classes in gov.sandia.cognition.statistics.bayesian that implement NamedValue

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 NamedValue

Modifier and Type	Method and Description
NamedValue<java.lang.Double>	MetropolisHastingsAlgorithm.getPerformance()

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

Classes in gov.sandia.cognition.statistics.bayesian.conjugate that implement NamedValue

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 NamedValue in gov.sandia.cognition.statistics.distribution

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

Modifier and Type	Method and Description
NamedValue<? extends java.lang.Number>	MixtureOfGaussians.Learner.getPerformance()
NamedValue<java.lang.Double>	MixtureOfGaussians.EMLearner.getPerformance()
NamedValue<java.lang.Double>	ScalarMixtureDensityModel.EMLearner.getPerformance()

Uses of NamedValue in gov.sandia.cognition.statistics.method

Methods in gov.sandia.cognition.statistics.method that return NamedValue

Modifier and Type	Method and Description
NamedValue<? extends java.lang.Number>	DistributionParameterEstimator.getPerformance()

Uses of NamedValue in gov.sandia.cognition.util

Classes in gov.sandia.cognition.util that implement NamedValue

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