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

Packages that use DifferentiableCostFunction

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

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

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

Constructor and Description
ParameterCostEvaluatorDerivativeBased(GradientDescendable internalFunction, DifferentiableCostFunction costFunction) Creates a new instance of ParameterCostEvaluatorDerivativeBased

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

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

Modifier and Type	Interface and Description
interface	ParallelizableCostFunction Interface describing a cost function that can (largely) be computed in parallel.

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

Modifier and Type	Class and Description
class	AbstractParallelizableCostFunction Partial implementation of the ParallelizableCostFunction
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