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

Packages that use gov.sandia.cognition.learning.data

Package	Description
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.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.delta	Provides an abstract class for helping to implement variants of the Burrows' Delta algorithm.
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.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.minimization.matrix	Provides matrix solving algorithms.
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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.clustering

Class and Description
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.delta

Class and Description
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.algorithm.ensemble

Class and Description
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.factor.machine

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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.matrix

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
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

Class and Description
TargetEstimatePair A Pair that encapsulates a target-estimate Pair.

Classes in gov.sandia.cognition.learning.data used by gov.sandia.cognition.statistics

Class and Description
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

Class and Description
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

Class and Description
InputOutputPair The InputOutputPair interface is just a container for an input and its associated output used in supervised learning.