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

Packages that use NamedValue
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.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
static
<ResultType>
NamedValue<Double>
ParallelUtil.compareTimes(Collection<? extends Callable<ResultType>> tasks)
          Compares the times needed by running the tasks sequentially versus parallel.
static
<ResultType>
NamedValue<Double>
ParallelUtil.compareTimes(Collection<? extends Callable<ResultType>> tasks, ThreadPoolExecutor threadPool)
          Compares the times needed by running the tasks sequentially versus parallel.
 NamedValue<? extends 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
 NamedValue<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
 NamedValue<Integer> AffinityPropagation.getPerformance()
          Gets the performance, which is the number changed on the last iteration.
 NamedValue<Integer> DirichletProcessClustering.getPerformance()
           
 NamedValue<Integer> KMeansClusterer.getPerformance()
          Gets the performance, which is the number changed on the last iteration.
 

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

Methods in gov.sandia.cognition.learning.algorithm.genetic that return NamedValue
 NamedValue<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
 NamedValue<Double> AbstractBaumWelchAlgorithm.getPerformance()
           
 

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

Methods in gov.sandia.cognition.learning.algorithm.pca that return NamedValue
 NamedValue<Double> GeneralizedHebbianAlgorithm.getPerformance()
           
 

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

Methods in gov.sandia.cognition.learning.algorithm.perceptron that return NamedValue
 NamedValue<Integer> BatchMultiPerceptron.getPerformance()
          Gets the performance, which is the error count on the last iteration.
 NamedValue<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
 NamedValue<Integer> KernelAdatron.getPerformance()
           
 NamedValue<Integer> KernelPerceptron.getPerformance()
           
 

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

Methods in gov.sandia.cognition.learning.algorithm.regression that return NamedValue
 NamedValue<Double> AbstractMinimizerBasedParameterCostMinimizer.getPerformance()
          Gets the performance, which is the cost of the minimizer on the last iteration.
 NamedValue<Double> AbstractParameterCostMinimizer.getPerformance()
           
 NamedValue<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
 NamedValue<Double> AbstractRootFinder.getPerformance()
           
 

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

Methods in gov.sandia.cognition.learning.algorithm.svm that return NamedValue
 NamedValue<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
 NamedValue<? extends Number> GaussianContextRecognizer.Learner.getPerformance()
           
 

Uses of NamedValue in gov.sandia.cognition.statistics
 

Subinterfaces of NamedValue in gov.sandia.cognition.statistics
 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
 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
 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
 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
 NamedValue<Double> MetropolisHastingsAlgorithm.getPerformance()
           
 

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

Classes in gov.sandia.cognition.statistics.bayesian.conjugate that implement NamedValue
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
 NamedValue<? extends Number> MixtureOfGaussians.Learner.getPerformance()
           
 NamedValue<Double> MixtureOfGaussians.EMLearner.getPerformance()
           
 NamedValue<Double> ScalarMixtureDensityModel.EMLearner.getPerformance()
           
 

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

Methods in gov.sandia.cognition.statistics.method that return NamedValue
 NamedValue<? extends Number> DistributionParameterEstimator.getPerformance()
           
 

Uses of NamedValue in gov.sandia.cognition.util
 

Classes in gov.sandia.cognition.util that implement NamedValue
 class DefaultNamedValue<ValueType>
          The DefaultNamedValue class implements a container of a name-value pair.