Uses of Package
gov.sandia.cognition.learning.data

Packages that use gov.sandia.cognition.learning.data
gov.sandia.cognition.framework.learning.converter Provides implementations of CogxelConverters. 
gov.sandia.cognition.learning.algorithm Provides general interfaces for learning algorithms. 
gov.sandia.cognition.learning.algorithm.baseline Provides baseline (dummy) learning algorithms. 
gov.sandia.cognition.learning.algorithm.bayes Provides algorithms for computing Bayesian categorizers. 
gov.sandia.cognition.learning.algorithm.ensemble Provides ensmble methods. 
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.line.interpolator Provides line (scalar) interpolation/extrapolation algorithms that fit an algebraic function to a (small) collection of data points. 
gov.sandia.cognition.learning.algorithm.nearest Provides algorithms for Nearest-Neighbor memory-based functions. 
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.data Provides data set utilities for learning. 
gov.sandia.cognition.learning.experiment Provides experiments for validating the performance of learning algorithms. 
gov.sandia.cognition.learning.function.categorization Provides functions that output a discrete set of categories. 
gov.sandia.cognition.learning.function.cost Provides cost functions. 
gov.sandia.cognition.learning.function.scalar Provides functions that output real numbers. 
gov.sandia.cognition.learning.performance Provides performance measures. 
gov.sandia.cognition.learning.performance.categorization Provides performance measures for categorizers. 
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.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.framework.learning.converter
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
TargetEstimatePair
          A Pair that encapsulates a target-estimate Pair.
WeightedInputOutputPair
          The WeightedInputOutputPair class implements an additional weighting term on an InputOutputPair, typically used to inform learning algorithms of the relative weight between examples.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.baseline
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.bayes
DefaultWeightedValueDiscriminant
          An implementation of ValueDiscriminantPair that stores a double as the discriminant.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.ensemble
DefaultWeightedInputOutputPair
          A default implementation of the WeightedInputOutputPair interface.
DefaultWeightedValueDiscriminant
          An implementation of ValueDiscriminantPair that stores a double as the discriminant.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.minimization
DefaultInputOutputPair
          A default implementation of the InputOutputPair interface.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.minimization.line
AbstractInputOutputPair
          An abstract implementation of the InputOutputPair interface.
DefaultInputOutputPair
          A default implementation of the InputOutputPair interface.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
WeightedInputOutputPair
          The WeightedInputOutputPair class implements an additional weighting term on an InputOutputPair, typically used to inform learning algorithms of the relative weight between examples.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.minimization.line.interpolator
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.nearest
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.perceptron
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.perceptron.kernel
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.regression
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.root
DefaultInputOutputPair
          A default implementation of the InputOutputPair interface.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.svm
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.algorithm.tree
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.data
AbstractInputOutputPair
          An abstract implementation of the InputOutputPair interface.
AbstractTargetEstimatePair
          An abstract implementation of the TargetEstimatePair.
AbstractValueDiscriminantPair
          An abstract implementation of the ValueDiscriminantPair interface.
DataPartitioner
          The DataPartitioner interface defines the functionality of an object that can create a PartitionedDataset from a collection of data.
DefaultInputOutputPair
          A default implementation of the InputOutputPair interface.
DefaultPartitionedDataset
          The PartitionedDataset class provides a simple container for the training and testing datasets to be held together.
DefaultTargetEstimatePair
          A default implementation of the TargetEstimatePair.
DefaultValueDiscriminantPair
          A default implementation of the ValueDiscriminantPair interface.
DefaultWeightedInputOutputPair
          A default implementation of the WeightedInputOutputPair interface.
DefaultWeightedTargetEstimatePair
          Extends TargetEstimatePair with an additional weight field.
DefaultWeightedValueDiscriminant
          An implementation of ValueDiscriminantPair that stores a double as the discriminant.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
PartitionedDataset
          Interface for a dataset partitioned into training and testing sets.
RandomizedDataPartitioner
          The RandomizedDataPartitioner extends a DataPartitioner to indicate that is it is randomized, which means that its partitions are based (at least in part) on an underlying random number generator.
TargetEstimatePair
          A Pair that encapsulates a target-estimate Pair.
ValueDiscriminantPair
          Interface for a pair of a value and a discriminant for ordering instances that have the same value.
WeightedInputOutputPair
          The WeightedInputOutputPair class implements an additional weighting term on an InputOutputPair, typically used to inform learning algorithms of the relative weight between examples.
WeightedTargetEstimatePair
          Extends TargetEstimatePair with an additional weight field.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.experiment
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
PartitionedDataset
          Interface for a dataset partitioned into training and testing sets.
RandomizedDataPartitioner
          The RandomizedDataPartitioner extends a DataPartitioner to indicate that is it is randomized, which means that its partitions are based (at least in part) on an underlying random number generator.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.function.categorization
DefaultWeightedValueDiscriminant
          An implementation of ValueDiscriminantPair that stores a double as the discriminant.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
ValueDiscriminantPair
          Interface for a pair of a value and a discriminant for ordering instances that have the same value.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.function.cost
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
TargetEstimatePair
          A Pair that encapsulates a target-estimate Pair.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.function.scalar
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.performance
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
TargetEstimatePair
          A Pair that encapsulates a target-estimate Pair.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.learning.performance.categorization
TargetEstimatePair
          A Pair that encapsulates a target-estimate Pair.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.statistics
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.statistics.bayesian
AbstractInputOutputPair
          An abstract implementation of the InputOutputPair interface.
DefaultInputOutputPair
          A default implementation of the InputOutputPair interface.
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.
 

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.statistics.method
InputOutputPair
          The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.