Uses of Class
gov.sandia.cognition.learning.function.cost.AbstractSupervisedCostFunction

Packages that use AbstractSupervisedCostFunction
gov.sandia.cognition.learning.function.cost Provides cost functions. 
gov.sandia.cognition.learning.performance Provides performance measures. 
 

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

Subclasses of AbstractSupervisedCostFunction in gov.sandia.cognition.learning.function.cost
 class AbstractParallelizableCostFunction
          Partial implementation of the ParallelizableCostFunction
 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
 

Methods in gov.sandia.cognition.learning.function.cost that return AbstractSupervisedCostFunction
 AbstractSupervisedCostFunction<InputType,TargetType> AbstractSupervisedCostFunction.clone()
           
 

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

Subclasses of AbstractSupervisedCostFunction in gov.sandia.cognition.learning.performance
 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.