Uses of Interface
gov.sandia.cognition.learning.performance.SupervisedPerformanceEvaluator

Packages that use SupervisedPerformanceEvaluator
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 SupervisedPerformanceEvaluator in gov.sandia.cognition.learning.function.cost
 

Subinterfaces of SupervisedPerformanceEvaluator in gov.sandia.cognition.learning.function.cost
 interface DifferentiableCostFunction
          The DifferentiableCostFunction is a cost function that can be differentiated.
 interface ParallelizableCostFunction
          Interface describing a cost function that can (largely) be computed in parallel.
 interface SupervisedCostFunction<InputType,TargetType>
          A type of CostFunction normally used in supervised-learning applications.
 

Classes in gov.sandia.cognition.learning.function.cost that implement SupervisedPerformanceEvaluator
 class AbstractParallelizableCostFunction
          Partial implementation of the ParallelizableCostFunction
 class AbstractSupervisedCostFunction<InputType,TargetType>
          Partial implementation of SupervisedCostFunction
 class MeanL1CostFunction
          Cost function that evaluates the mean 1-norm error (absolute value of difference) weighted by a sample "weight" that is embedded in each sample.
 class MeanSquaredErrorCostFunction
          The MeanSquaredErrorCostFunction implements a cost function for functions that take as input a vector and return a vector.
 class ParallelizedCostFunctionContainer
          A cost function that automatically splits a ParallelizableCostFunction across multiple cores/processors to speed up computation.
 class SumSquaredErrorCostFunction
          This is the sum-squared error cost function
 

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

Classes in gov.sandia.cognition.learning.performance that implement SupervisedPerformanceEvaluator
 class AbstractSupervisedPerformanceEvaluator<InputType,TargetType,EstimateType,ResultType>
          The AbstractSupervisedPerformanceEvaluator class contains an abstract implementation of the SupervisedPerformanceEvaluator class.
 class MeanAbsoluteErrorEvaluator<InputType>
          The MeanAbsoluteError class implements a method for computing the performance of a supervised learner for a scalar function by the mean absolute value between the target and estimated outputs.
 class MeanSquaredErrorEvaluator<InputType>
          The MeanSquaredError class implements the method for computing the performance of a supervised learner for a scalar function by the mean squared between the target and estimated outputs.
 class MeanZeroOneErrorEvaluator<InputType,DataType>
          The MeanZeroOneErrorEvaluator class implements a method for computing the performance of a supervised learner by the mean number of incorrect values between the target and estimated outputs.
 class RootMeanSquaredErrorEvaluator<InputType>
          The RootMeanSquaredErrorEvaluator class implements a method for computing the performance of a supervised learner for a scalar function by the root mean squared error (RMSE or RSE) between the target and estimated outputs.
 

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

Classes in gov.sandia.cognition.learning.performance.categorization that implement SupervisedPerformanceEvaluator
 class ConfusionMatrixPerformanceEvaluator<InputType,CategoryType>
          A performance evaluator that builds a confusion matrix.
static class DefaultBinaryConfusionMatrix.PerformanceEvaluator<InputType>
          An implementation of the SupervisedPerformanceEvaluator interface for creating a DefaultBinaryConfusionMatrix.