Uses of Interface
gov.sandia.cognition.learning.algorithm.gradient.ParameterGradientEvaluator

Packages that use ParameterGradientEvaluator

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.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.

Uses of ParameterGradientEvaluator in gov.sandia.cognition.learning.algorithm.factor.machine

Classes in gov.sandia.cognition.learning.algorithm.factor.machine that implement ParameterGradientEvaluator

Modifier and Type	Class and Description
class	FactorizationMachine Implements a Factorization Machine.

Uses of ParameterGradientEvaluator in gov.sandia.cognition.learning.algorithm.gradient

Subinterfaces of ParameterGradientEvaluator in gov.sandia.cognition.learning.algorithm.gradient

Modifier and Type	Interface and Description
interface	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 that implement ParameterGradientEvaluator

Modifier and Type	Class and Description
class	GradientDescendableApproximator Creates a radientDescendable from a VectorizableVectorFunction by estimating the parameter gradient using a forward-difference approximation of the parameter Jacobian.

Uses of ParameterGradientEvaluator in gov.sandia.cognition.learning.function.scalar

Classes in gov.sandia.cognition.learning.function.scalar that implement ParameterGradientEvaluator

Modifier and Type	Class and Description
class	PolynomialFunction A single polynomial term specified by a real-valued exponent.

Uses of ParameterGradientEvaluator in gov.sandia.cognition.learning.function.vector

Classes in gov.sandia.cognition.learning.function.vector that implement ParameterGradientEvaluator

Modifier and Type	Class and Description
class	DifferentiableFeedforwardNeuralNetwork A feedforward neural network that can have an arbitrary number of layers, and an arbitrary differentiable squashing (activation) function assigned to each layer.
class	DifferentiableGeneralizedLinearModel A GradientDescenable version of a GeneralizedLinearModel, in other words, a GeneralizedLinearModel where the squashing function is differentiable
class	MultivariateDiscriminant Allows learning algorithms (vectorizing, differentiating) on a matrix*vector multiply.
class	MultivariateDiscriminantWithBias A multivariate discriminant (matrix multiply) plus a constant vector that gets added to the output of the discriminant.
class	ThreeLayerFeedforwardNeuralNetwork This is a "standard" feedforward neural network with a single hidden layer.