Uses of Interface
gov.sandia.cognition.learning.function.cost.SupervisedCostFunction

Packages that use SupervisedCostFunction

Package	Description
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.function.cost	Provides cost functions.
gov.sandia.cognition.learning.performance	Provides performance measures.

Uses of SupervisedCostFunction in gov.sandia.cognition.learning.algorithm.regression

Classes in gov.sandia.cognition.learning.algorithm.regression with type parameters of type SupervisedCostFunction

Modifier and Type	Class and Description
class	AbstractParameterCostMinimizer<ResultType extends VectorizableVectorFunction,CostFunctionType extends SupervisedCostFunction<Vector,Vector>> Partial implementation of ParameterCostMinimizer.

Fields in gov.sandia.cognition.learning.algorithm.regression declared as SupervisedCostFunction

Modifier and Type	Field and Description
static SupervisedCostFunction<Vector,Vector>	AbstractMinimizerBasedParameterCostMinimizer.DEFAULT_COST_FUNCTION Default cost function, SumSquaredErrorCostFunction

Methods in gov.sandia.cognition.learning.algorithm.regression that return SupervisedCostFunction

Modifier and Type	Method and Description
SupervisedCostFunction<Vector,Vector>	AbstractMinimizerBasedParameterCostMinimizer.getCostFunction()

Methods in gov.sandia.cognition.learning.algorithm.regression with parameters of type SupervisedCostFunction

Modifier and Type	Method and Description
void	AbstractMinimizerBasedParameterCostMinimizer.setCostFunction(SupervisedCostFunction<Vector,Vector> costFunction) Setter for costFunction

Constructors in gov.sandia.cognition.learning.algorithm.regression with parameters of type SupervisedCostFunction

Constructor and Description
AbstractMinimizerBasedParameterCostMinimizer(FunctionMinimizer<Vector,java.lang.Double,? super EvaluatorType> algorithm, SupervisedCostFunction<Vector,Vector> costFunction) Creates a new instance of AbstractMinimizerBasedParameterCostMinimizer
ParameterCostEvaluatorDerivativeFree(VectorizableVectorFunction internalFunction, SupervisedCostFunction<Vector,Vector> costFunction) Creates a new instance of ParameterCostEvaluatorDerivativeFree

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

Subinterfaces of SupervisedCostFunction in gov.sandia.cognition.learning.function.cost

Modifier and Type	Interface and Description
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.

Classes in gov.sandia.cognition.learning.function.cost that implement SupervisedCostFunction

Modifier and Type	Class and Description
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 SupervisedCostFunction in gov.sandia.cognition.learning.performance

Classes in gov.sandia.cognition.learning.performance that implement SupervisedCostFunction

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.