Uses of Package
gov.sandia.cognition.algorithm

Packages that use gov.sandia.cognition.algorithm

Package	Description
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	Provides general interfaces for learning 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.ensemble	Provides ensemble methods.
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.minimization	Provides minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.matrix	Provides matrix solving 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.algorithm.tree	Provides decision tree learning 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.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.learning.performance	Provides performance measures.
gov.sandia.cognition.math	Provides classes for mathematical computation.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
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.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.algorithm

Class and Description
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AbstractParallelAlgorithm Partial implementation of ParallelAlgorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.algorithm.event

Class and Description
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.annealing

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.clustering

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.ensemble

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.factor.machine

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.genetic

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.hmm

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.minimization

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.minimization.line

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.minimization.matrix

Class and Description
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.pca

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.perceptron

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.perceptron.kernel

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.regression

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.root

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.svm

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.algorithm.tree

Class and Description
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.experiment

Class and Description
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.function.cost

Class and Description
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.function.vector

Class and Description
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.performance

Class and Description
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.math

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.statistics.bayesian

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.statistics.distribution

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.statistics.method

Class and Description
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AbstractParallelAlgorithm Partial implementation of ParallelAlgorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
AnytimeAlgorithmWrapper Wraps an AnytimeAlgorithm.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
MeasurablePerformanceAlgorithm An interface for an algorithm that has a measurable quantity of performance that can be retrieved.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.

Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.text.topic

Class and Description
AbstractAnytimeAlgorithm A partial implementation of the common functionality of an AnytimeAlgorithm.
AbstractIterativeAlgorithm The AbstractIterativeAlgorithm class implements a simple part of the IterativeAlgorithm interface that manages the listeners for the algorithm.
AnytimeAlgorithm The AnytimeAlgorithm interface defines the functionality of an iterative algorithm that is stoppable and can return intermediate results.
IterativeAlgorithm The IterativeAlgorithm interface defines the functionality of a algorithm that works through multiple iteration steps in order to perform its computation.
IterativeAlgorithmListener The IterativeAlgorithmListener interface defines the events that are generated by an IterativeAlgorithm.
ParallelAlgorithm Interface for algorithms that are parallelized using multithreading.
StoppableAlgorithm Defines methods for an algorithm that can be stopped early during its execution.