gov.sandia.cognition.learning.performance

Interface PerformanceEvaluator<ObjectType,DataType,ResultType>

Type Parameters:

ObjectType - The type of object the class can evaluate the performance of.

DataType - The data to use to evaluate the object's performance.

ResultType - The type of the result of the performance evaluation.

All Known Subinterfaces:

DifferentiableCostFunction, ParallelizableCostFunction, SupervisedCostFunction<InputType,TargetType>, SupervisedPerformanceEvaluator<InputType,TargetType,EstimateType,ResultType>

All Known Implementing Classes:

AbstractParallelizableCostFunction, AbstractSupervisedCostFunction, AbstractSupervisedPerformanceEvaluator, ConfusionMatrixPerformanceEvaluator, DefaultBinaryConfusionMatrix.PerformanceEvaluator, LearnerRepeatExperiment, LearnerValidationExperiment, MeanAbsoluteErrorEvaluator, MeanL1CostFunction, MeanSquaredErrorCostFunction, MeanSquaredErrorEvaluator, MeanZeroOneErrorEvaluator, OnlineLearnerValidationExperiment, ParallelizedCostFunctionContainer, ParallelLearnerValidationExperiment, RootMeanSquaredErrorEvaluator, SumSquaredErrorCostFunction, SupervisedLearnerValidationExperiment

public interface PerformanceEvaluator<ObjectType,DataType,ResultType>

The PerformanceEvaluator class defines the functionality of some object with regards to some data. It is recommended that a PerformanceEvaluator implement CloneableSerializable, though it is not required.

Since:

2.0

Author:

Justin Basilico

Method Summary

Modifier and Type	Method and Description
ResultType	evaluatePerformance(ObjectType object, DataType data) Evaluates the performance of an object with regards to given data.

Method Detail

evaluatePerformance

ResultType evaluatePerformance(ObjectType object,
                               DataType data)

Evaluates the performance of an object with regards to given data.

Parameters:

object - The object to evaluate the performance of.

data - The data to evaluate the object using.

Returns:

The performance evaluation result.