Uses of Package
gov.sandia.cognition.learning.function.cost

Packages that use gov.sandia.cognition.learning.function.cost
gov.sandia.cognition.learning.algorithm Provides general interfaces for learning algorithms. 
gov.sandia.cognition.learning.algorithm.annealing Provides the Simulated Annealing algorithm. 
gov.sandia.cognition.learning.algorithm.genetic Provides a genetic algorithm implementation. 
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. 
gov.sandia.cognition.statistics.method Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods. 
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.algorithm
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.algorithm.annealing
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.algorithm.genetic
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.algorithm.regression
DifferentiableCostFunction
          The DifferentiableCostFunction is a cost function that can be differentiated.
SupervisedCostFunction
          A type of CostFunction normally used in supervised-learning applications.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.function.cost
AbstractCostFunction
          Partial implementation of CostFunction.
AbstractParallelizableCostFunction
          Partial implementation of the ParallelizableCostFunction
AbstractSupervisedCostFunction
          Partial implementation of SupervisedCostFunction
ClusterDistortionMeasure
          Computes the objective measure for a clustering algorithm, based on the internal "distortion" of each cluster.
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.
DifferentiableCostFunction
          The DifferentiableCostFunction is a cost function that can be differentiated.
EuclideanDistanceCostFunction
          The EuclideanDistanceCostFunction class implements a CostFunction that calculates the Euclidean distance the given Vectorizable and the goal vector.
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.
MeanSquaredErrorCostFunction
          The MeanSquaredErrorCostFunction implements a cost function for functions that take as input a vector and return a vector.
NegativeLogLikelihood
          CostFunction for computing the maximum likelihood (because we are minimizing the negative of the log likelihood)
ParallelizableCostFunction
          Interface describing a cost function that can (largely) be computed in parallel.
ParallelizedCostFunctionContainer
          A cost function that automatically splits a ParallelizableCostFunction across multiple cores/processors to speed up computation.
ParallelNegativeLogLikelihood.NegativeLogLikelihoodTask
          Task for computing partial log likelihoods
SumSquaredErrorCostFunction
          This is the sum-squared error cost function
SumSquaredErrorCostFunction.Cache
          Caches often-used values for the Cost Function
SupervisedCostFunction
          A type of CostFunction normally used in supervised-learning applications.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.learning.performance
AbstractSupervisedCostFunction
          Partial implementation of SupervisedCostFunction
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.
SupervisedCostFunction
          A type of CostFunction normally used in supervised-learning applications.
 

Classes in gov.sandia.cognition.learning.function.cost used by gov.sandia.cognition.statistics.method
CostFunction
          The CostFunction interface defines the interface to evaluate some object to determine its cost.