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

Packages that use DifferentiableCostFunction
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
 

Fields in gov.sandia.cognition.learning.algorithm.regression declared as DifferentiableCostFunction
static DifferentiableCostFunction AbstractMinimizerBasedParameterCostMinimizer.DEFAULT_COST_FUNCTION
          Default cost function, SumSquaredErrorCostFunction
 

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