Uses of Package
gov.sandia.cognition.learning.algorithm.gradient

Packages that use gov.sandia.cognition.learning.algorithm.gradient

Package	Description
gov.sandia.cognition.learning.algorithm.factor.machine	Provides factorization machine algorithms.
gov.sandia.cognition.learning.algorithm.gradient	Provides gradient based learning algorithms.
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.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.algorithm.factor.machine

Class and Description
ParameterGradientEvaluator Interface for computing the derivative of the output with respect to the parameters for a given input.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.algorithm.gradient

Class and Description
GradientDescendable Defines the functionality of an object that is required in order to apply the gradient descent algorithm to it.
GradientDescendableApproximator Creates a radientDescendable from a VectorizableVectorFunction by estimating the parameter gradient using a forward-difference approximation of the parameter Jacobian.
ParameterGradientEvaluator Interface for computing the derivative of the output with respect to the parameters for a given input.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.algorithm.regression

Class and Description
GradientDescendable Defines the functionality of an object that is required in order to apply the gradient descent algorithm to it.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.function.cost

Class and Description
GradientDescendable Defines the functionality of an object that is required in order to apply the gradient descent algorithm to it.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.function.scalar

Class and Description
ParameterGradientEvaluator Interface for computing the derivative of the output with respect to the parameters for a given input.

Classes in gov.sandia.cognition.learning.algorithm.gradient used by gov.sandia.cognition.learning.function.vector

Class and Description
GradientDescendable Defines the functionality of an object that is required in order to apply the gradient descent algorithm to it.
ParameterGradientEvaluator Interface for computing the derivative of the output with respect to the parameters for a given input.