Uses of Interface
gov.sandia.cognition.math.matrix.VectorFunction

Packages that use VectorFunction

Package	Description
gov.sandia.cognition.learning.algorithm.gradient	Provides gradient based learning algorithms.
gov.sandia.cognition.learning.algorithm.pca	Provides implementations of Principle Components Analysis (PCA).
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
gov.sandia.cognition.learning.function.kernel	Provides kernel functions.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.math.matrix	Provides interfaces and classes for linear algebra.
gov.sandia.cognition.math.signals	Provides mathematical signal processing methods.

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

Subinterfaces of VectorFunction 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 VectorFunction

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 VectorFunction in gov.sandia.cognition.learning.algorithm.pca

Classes in gov.sandia.cognition.learning.algorithm.pca that implement VectorFunction

Modifier and Type	Class and Description
class	PrincipalComponentsAnalysisFunction This VectorFunction maps a high-dimension input space onto a (hopefully) simple low-dimensional output space by subtracting the mean of the input data, and passing the zero-mean input through a dimension-reducing matrix multiplication function.

Uses of VectorFunction in gov.sandia.cognition.learning.data.feature

Classes in gov.sandia.cognition.learning.data.feature that implement VectorFunction

Modifier and Type	Class and Description
class	FeatureHashing Implements a function that applies vector feature hashing.

Uses of VectorFunction in gov.sandia.cognition.learning.function.kernel

Fields in gov.sandia.cognition.learning.function.kernel declared as VectorFunction

Modifier and Type	Field and Description
protected VectorFunction	VectorFunctionKernel.function The vector function to use.

Methods in gov.sandia.cognition.learning.function.kernel that return VectorFunction

Modifier and Type	Method and Description
VectorFunction	VectorFunctionKernel.getFunction() Gets the vector function the kernel is using.

Methods in gov.sandia.cognition.learning.function.kernel with parameters of type VectorFunction

Modifier and Type	Method and Description
void	VectorFunctionKernel.setFunction(VectorFunction function) Sets the vector function for the kernel to use.

Constructors in gov.sandia.cognition.learning.function.kernel with parameters of type VectorFunction

Constructor and Description
VectorFunctionKernel(VectorFunction function) Creates a new VectorFunctionKernel from the given function.
VectorFunctionKernel(VectorFunction function, Kernel<? super Vector> kernel) Creates a new VectorFunctionKernel from the given function and kernel.

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

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

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	ElementWiseDifferentiableVectorFunction An ElementWiseVectorFunction that is also a DifferentiableVectorFunction
class	ElementWiseVectorFunction A VectorFunction that operates on each element of the Vector indepenently of all others.
class	FeedforwardNeuralNetwork A feedforward neural network that can have an arbitrary number of layers, and an arbitrary squashing (activation) function assigned to each layer.
class	GaussianContextRecognizer Uses a MixtureOfGaussians to compute the probability of the different constituent MultivariateGaussians (that is, the contexts)
class	GeneralizedLinearModel A VectorizableVectorFunction that is a matrix multiply followed by a VectorFunction...
class	LinearCombinationVectorFunction A weighted linear combination of scalar functions.
class	LinearVectorFunction The LinearFunction class is a simple VectorFunction that just scales the given input vector by a scalar value.
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.

Methods in gov.sandia.cognition.learning.function.vector that return VectorFunction

Modifier and Type	Method and Description
VectorFunction	GeneralizedLinearModel.getSquashingFunction() Getter for squashingFunction

Methods in gov.sandia.cognition.learning.function.vector with parameters of type VectorFunction

Modifier and Type	Method and Description
void	GeneralizedLinearModel.setSquashingFunction(VectorFunction squashingFunction) Setter for squashingFunction

Constructors in gov.sandia.cognition.learning.function.vector with parameters of type VectorFunction

Constructor and Description
GeneralizedLinearModel(MultivariateDiscriminant discriminant, VectorFunction squashingFunction) Creates a new instance of GeneralizedLinearModel
LinearCombinationVectorFunction(VectorFunction... basisFunctions) Creates a new instance of LinearCombinationFunction

Uses of VectorFunction in gov.sandia.cognition.math.matrix

Subinterfaces of VectorFunction in gov.sandia.cognition.math.matrix

Modifier and Type	Interface and Description
interface	DifferentiableVectorFunction A VectorFunction that can is also differentiable
interface	VectorizableDifferentiableVectorFunction A VectorizableVectorFunction that also define a derivative (this is needed for GradientDescendable).
interface	VectorizableVectorFunction The VectorizableVectorFunction interface defines a useful interface for doing machine learning, which is a function that takes and returns vectors and also is parameterizable as a vector.

Uses of VectorFunction in gov.sandia.cognition.math.signals

Classes in gov.sandia.cognition.math.signals that implement VectorFunction

Modifier and Type	Class and Description
class	LinearDynamicalSystem A generic Linear Dynamical System of the form x_n = A*x_(n-1) + B*u_n y_n = C*x_n, where x_(n-1) is the previous state, x_n is the current state, u_n is the current input, y_n is the current output, A is the system matrix, B is the input-gain matrix, and C is the output-selector matrix