Uses of Interface
gov.sandia.cognition.learning.data.TargetEstimatePair

Packages that use TargetEstimatePair

Package	Description
gov.sandia.cognition.framework.learning.converter	Provides implementations of CogxelConverters.
gov.sandia.cognition.learning.data	Provides data set utilities for learning.
gov.sandia.cognition.learning.function.cost	Provides cost functions.
gov.sandia.cognition.learning.performance	Provides performance measures.
gov.sandia.cognition.learning.performance.categorization	Provides performance measures for categorizers.

Uses of TargetEstimatePair in gov.sandia.cognition.framework.learning.converter

Methods in gov.sandia.cognition.framework.learning.converter that return TargetEstimatePair

Modifier and Type	Method and Description
TargetEstimatePair<TargetType,EstimateType>	CogxelTargetEstimatePairConverter.createPair(TargetType first, EstimateType second)

Uses of TargetEstimatePair in gov.sandia.cognition.learning.data

Subinterfaces of TargetEstimatePair in gov.sandia.cognition.learning.data

Modifier and Type	Interface and Description
interface	WeightedTargetEstimatePair<TargetType,EstimateType> Extends TargetEstimatePair with an additional weight field.

Classes in gov.sandia.cognition.learning.data that implement TargetEstimatePair

Modifier and Type	Class and Description
class	AbstractTargetEstimatePair<TargetType,EstimateType> An abstract implementation of the TargetEstimatePair.
class	DefaultTargetEstimatePair<TargetType,EstimateType> A default implementation of the TargetEstimatePair.
class	DefaultWeightedTargetEstimatePair<TargetType,EstimateType> Extends TargetEstimatePair with an additional weight field.

Methods in gov.sandia.cognition.learning.data with parameters of type TargetEstimatePair

Modifier and Type	Method and Description
static double	DatasetUtil.getWeight(TargetEstimatePair<?,?> pair) Gets the weight of a given target-estimate pair.

Uses of TargetEstimatePair in gov.sandia.cognition.learning.function.cost

Method parameters in gov.sandia.cognition.learning.function.cost with type arguments of type TargetEstimatePair

Modifier and Type	Method and Description
abstract java.lang.Double	AbstractSupervisedCostFunction.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends TargetType,? extends TargetType>> data)
java.lang.Double	MeanL1CostFunction.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
java.lang.Double	MeanSquaredErrorCostFunction.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
java.lang.Double	ParallelizedCostFunctionContainer.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
java.lang.Double	SumSquaredErrorCostFunction.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
java.lang.Double	AbstractSupervisedCostFunction.summarize(java.util.Collection<? extends TargetEstimatePair<? extends TargetType,? extends TargetType>> data)

Uses of TargetEstimatePair in gov.sandia.cognition.learning.performance

Method parameters in gov.sandia.cognition.learning.performance with type arguments of type TargetEstimatePair

Modifier and Type	Method and Description
static <DataType> double	MeanZeroOneErrorEvaluator.compute(java.util.Collection<? extends TargetEstimatePair<? extends DataType,? extends DataType>> data) Computes the mean zero-one loss for the given pairs of values.
static double	MeanAbsoluteErrorEvaluator.compute(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Computes the mean absolute error for the given pairs of values.
static double	MeanSquaredErrorEvaluator.compute(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Computes the mean squared error for the given pairs of values.
static double	RootMeanSquaredErrorEvaluator.compute(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Computes the mean squared error for the given pairs of values.
java.lang.Double	MeanZeroOneErrorEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends DataType,? extends DataType>> data) Evaluates the performance accuracy of the given estimates against the given targets.
java.lang.Double	MeanAbsoluteErrorEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Evaluates the performance accuracy of the given estimates against the given targets.
java.lang.Double	MeanSquaredErrorEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Evaluates the performance accuracy of the given estimates against the given targets.
java.lang.Double	RootMeanSquaredErrorEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Double,? extends java.lang.Double>> data) Evaluates the performance accuracy of the given estimates against the given targets.
abstract ResultType	AbstractSupervisedPerformanceEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends TargetType,? extends EstimateType>> data)
ResultType	SupervisedPerformanceEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends TargetType,? extends EstimateType>> data) Evaluates the performance accuracy of the given estimates against the given targets.
ResultType	AbstractSupervisedPerformanceEvaluator.summarize(java.util.Collection<? extends TargetEstimatePair<? extends TargetType,? extends EstimateType>> data)

Uses of TargetEstimatePair in gov.sandia.cognition.learning.performance.categorization

Method parameters in gov.sandia.cognition.learning.performance.categorization with type arguments of type TargetEstimatePair

Modifier and Type	Method and Description
static DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.create(java.lang.Iterable<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> input) Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.create(java.lang.Iterable<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> input, boolean weightIfAvailable) Creates a new DefaultBinaryConfusionMatrix from the given target-estimate pairs.
static <CategoryType> DefaultConfusionMatrix<CategoryType>	DefaultConfusionMatrix.createUnweighted(java.util.Collection<? extends TargetEstimatePair<? extends CategoryType,? extends CategoryType>> pairs) Creates a new DefaultConfusionMatrix from the given actual-predicted pairs.
DefaultBinaryConfusionMatrix	DefaultBinaryConfusionMatrix.PerformanceEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends java.lang.Boolean,? extends java.lang.Boolean>> data)
ConfusionMatrix<CategoryType>	ConfusionMatrixPerformanceEvaluator.evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends CategoryType,? extends CategoryType>> data)