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

Packages that use AbstractSupervisedCostFunction

Package	Description
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

Modifier and Type	Class and Description
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

Modifier and Type	Method and Description
AbstractSupervisedCostFunction<InputType,TargetType>	AbstractSupervisedCostFunction.clone()

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

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

Modifier and Type	Class and Description
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.