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

Packages that use IterativeAlgorithmListener
gov.sandia.cognition.algorithm Provides general interfaces and implementations for algorithms. 
gov.sandia.cognition.algorithm.event Provides useful components for handling algorithm events. 
gov.sandia.cognition.learning.algorithm.clustering Provides clustering algorithms. 
gov.sandia.cognition.learning.algorithm.ensemble Provides ensmble methods. 
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.function.vector Provides functions that output vectors. 
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.text.topic Provides topic modeling algorithms. 
 

Uses of IterativeAlgorithmListener in gov.sandia.cognition.algorithm
 

Classes in gov.sandia.cognition.algorithm that implement IterativeAlgorithmListener
 class AnytimeAlgorithmWrapper<ResultType,InternalAlgorithm extends AnytimeAlgorithm<?>>
          Wraps an AnytimeAlgorithm.
 

Methods in gov.sandia.cognition.algorithm that return types with arguments of type IterativeAlgorithmListener
protected  LinkedList<IterativeAlgorithmListener> AbstractIterativeAlgorithm.getListeners()
          Retrieves the list of listeners for this algorithm.
 

Methods in gov.sandia.cognition.algorithm with parameters of type IterativeAlgorithmListener
 void AbstractIterativeAlgorithm.addIterativeAlgorithmListener(IterativeAlgorithmListener listener)
           
 void IterativeAlgorithm.addIterativeAlgorithmListener(IterativeAlgorithmListener listener)
          Adds a listener for the iterations of the algorithm.
 void AbstractIterativeAlgorithm.removeIterativeAlgorithmListener(IterativeAlgorithmListener listener)
           
 void IterativeAlgorithm.removeIterativeAlgorithmListener(IterativeAlgorithmListener listener)
          Removes a listener for the iterations of the algorithm.
 

Method parameters in gov.sandia.cognition.algorithm with type arguments of type IterativeAlgorithmListener
protected  void AbstractIterativeAlgorithm.setListeners(LinkedList<IterativeAlgorithmListener> listeners)
          Sets the list of listeners for this algorithm.
 

Uses of IterativeAlgorithmListener in gov.sandia.cognition.algorithm.event
 

Classes in gov.sandia.cognition.algorithm.event that implement IterativeAlgorithmListener
 class AbstractIterativeAlgorithmListener
          An abstract implementation of the IterativeAlgorithmListener interface that provides default implementations of the event methods that do nothing.
 class IterationMeasurablePerformanceReporter
          An iterative algorithm listeners for MeasurablePerformanceAlgorithm objects that reports the performance of the algorithm at the end of each iteration.
 class IterationStartReporter
          An iterative algorithm listener that reports the start of each iteration to the given print stream.
 

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

Classes in gov.sandia.cognition.learning.algorithm.clustering that implement IterativeAlgorithmListener
 class DirichletProcessClustering
          Clustering algorithm that wraps Dirichlet Process Mixture Model.
 

Uses of IterativeAlgorithmListener in gov.sandia.cognition.learning.algorithm.ensemble
 

Classes in gov.sandia.cognition.learning.algorithm.ensemble that implement IterativeAlgorithmListener
static class IVotingCategorizerLearner.OutOfBagErrorStoppingCriteria<InputType,CategoryType>
          Implements a stopping criteria for IVoting that uses the out-of-bag error to determine when to stop learning the ensemble.
 

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

Classes in gov.sandia.cognition.learning.algorithm.regression that implement IterativeAlgorithmListener
 class AbstractMinimizerBasedParameterCostMinimizer<ResultType extends VectorizableVectorFunction,EvaluatorType extends Evaluator<? super Vector,? extends Double>>
          Partial implementation of ParameterCostMinimizer, based on the algorithms from the minimization package.
 class ParameterDerivativeFreeCostMinimizer
          Implementation of a class of objects that uses a derivative-free minimization algorithm.
 class ParameterDifferentiableCostMinimizer
          This class adapts the unconstrained nonlinear minimization algorithms in the "minimization" package to the task of estimating locally optimal (minimum-cost) parameter sets.
 

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

Classes in gov.sandia.cognition.learning.algorithm.root that implement IterativeAlgorithmListener
 class MinimizerBasedRootFinder
          A root finder that uses minimization techniques to find the roots (zero-crossings).
 

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

Classes in gov.sandia.cognition.learning.function.vector that implement IterativeAlgorithmListener
static class GaussianContextRecognizer.Learner
          Creates a GaussianContextRecognizer from a Dataset using a BatchClusterer
 

Uses of IterativeAlgorithmListener in gov.sandia.cognition.statistics.distribution
 

Classes in gov.sandia.cognition.statistics.distribution that implement IterativeAlgorithmListener
static class MixtureOfGaussians.Learner
          A hard-assignment learner for a MixtureOfGaussians
 

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

Classes in gov.sandia.cognition.statistics.method that implement IterativeAlgorithmListener
 class DistributionParameterEstimator<DataType,DistributionType extends ClosedFormDistribution<? extends DataType>>
          A method of estimating the parameters of a distribution using an arbitrary CostFunction and FunctionMinimizer algorithm.
 

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

Classes in gov.sandia.cognition.text.topic that implement IterativeAlgorithmListener
static class ProbabilisticLatentSemanticAnalysis.StatusPrinter
          Prints out the status of the probabilistic latent semantic analysis algorithm.