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Packages that use gov.sandia.cognition.algorithm  

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 ensmble methods. 
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.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.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  

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  

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  

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  

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  

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  

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.genetic  

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  

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  

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  

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.pca  

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  

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  

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  

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  

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  

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  

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  

ParallelAlgorithm
Interface for algorithms that are parallelized using multithreading. 
Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.function.cost  

ParallelAlgorithm
Interface for algorithms that are parallelized using multithreading. 
Classes in gov.sandia.cognition.algorithm used by gov.sandia.cognition.learning.function.vector  

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.math  

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  

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  

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  

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  

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. 


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