Uses of Interface
gov.sandia.cognition.algorithm.ParallelAlgorithm

Packages that use ParallelAlgorithm

Package	Description
gov.sandia.cognition.algorithm	Provides general interfaces and implementations for algorithms.
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.experiment	Provides experiments for validating the performance of learning algorithms.
gov.sandia.cognition.learning.function.cost	Provides cost functions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
gov.sandia.cognition.text.topic	Provides topic modeling algorithms.

Uses of ParallelAlgorithm in gov.sandia.cognition.algorithm

Classes in gov.sandia.cognition.algorithm that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	AbstractParallelAlgorithm Partial implementation of ParallelAlgorithm.

Methods in gov.sandia.cognition.algorithm with parameters of type ParallelAlgorithm

Modifier and Type	Method and Description
static <ResultType> java.util.ArrayList<ResultType>	ParallelUtil.executeInParallel(java.util.Collection<? extends java.util.concurrent.Callable<ResultType>> tasks, ParallelAlgorithm algorithm) Executes the given Callable tasks in parallel using a given thread pool
static int	ParallelUtil.getNumThreads(ParallelAlgorithm algorithm) Gets the number of threads in a ParallelAlgorithm by querying the thread pool

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

Classes in gov.sandia.cognition.learning.algorithm.clustering that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelizedKMeansClusterer<DataType,ClusterType extends Cluster<DataType>> This is a parallel implementation of the k-means clustering algorithm.

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

Classes in gov.sandia.cognition.learning.algorithm.genetic that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelizedGeneticAlgorithm<CostParametersType,GenomeType> This is a parallel implementation of the genetic algorithm.

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

Classes in gov.sandia.cognition.learning.algorithm.hmm that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelBaumWelchAlgorithm<ObservationType> A Parallelized implementation of some of the methods of the Baum-Welch Algorithm.
class	ParallelHiddenMarkovModel<ObservationType> A Hidden Markov Model with parallelized processing.

Uses of ParallelAlgorithm in gov.sandia.cognition.learning.experiment

Classes in gov.sandia.cognition.learning.experiment that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelLearnerValidationExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType> Parallel version of the LearnerValidationExperiment class that executes the validations experiments across available cores and hyperthreads.

Uses of ParallelAlgorithm in gov.sandia.cognition.learning.function.cost

Classes in gov.sandia.cognition.learning.function.cost that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelClusterDistortionMeasure<DataType,ClusterType extends Cluster<DataType>> A parallel implementation of ClusterDistortionMeasure.
class	ParallelizedCostFunctionContainer A cost function that automatically splits a ParallelizableCostFunction across multiple cores/processors to speed up computation.
class	ParallelNegativeLogLikelihood<DataType> Parallel implementation of the NegativeLogLikleihood cost function

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

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

Modifier and Type	Class and Description
class	ParallelDirichletProcessMixtureModel<ObservationType> A Parallelized version of vanilla Dirichlet Process Mixture Model learning.

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

Classes in gov.sandia.cognition.statistics.method that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	MaximumLikelihoodDistributionEstimator<DataType> Estimates the most-likely distribution, and corresponding parameters, of that generated the given data from a pre-determined collection of candidate parameteric distributions.

Uses of ParallelAlgorithm in gov.sandia.cognition.text.topic

Classes in gov.sandia.cognition.text.topic that implement ParallelAlgorithm

Modifier and Type	Class and Description
class	ParallelLatentDirichletAllocationVectorGibbsSampler A parallel implementation of LatentDirichletAllocationVectorGibbsSampler.