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

Packages that use VectorOutputEvaluator

Package	Description
gov.sandia.cognition.data.convert.vector	Provides utilities for doing data type conversion with vectors.
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.distance	Provides distance functions.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.math.signals	Provides mathematical signal processing methods.
gov.sandia.cognition.text.topic	Provides topic modeling algorithms.

Uses of VectorOutputEvaluator in gov.sandia.cognition.data.convert.vector

Subinterfaces of VectorOutputEvaluator in gov.sandia.cognition.data.convert.vector

Modifier and Type	Interface and Description
interface	DataToVectorEncoder<InputType> Defines a converter that can be used to encode data into a Vector.

Classes in gov.sandia.cognition.data.convert.vector that implement VectorOutputEvaluator

Modifier and Type	Class and Description
class	AbstractToVectorEncoder<InputType> An abstract implementation of the DataToVectorEncoder interface.
class	NumberConverterToVectorAdapter<InputType> Adapts a DataConverter that outputs a number to be a VectorEncoder.
class	NumberToVectorEncoder An encoder that encodes a number as an element of a Vector.
class	UniqueBooleanVectorEncoder<InputType> An encoder for arbitrary objects that encodes an equality comparison between a given input and a set of unique values.

Uses of VectorOutputEvaluator in gov.sandia.cognition.learning.algorithm.pca

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

Modifier and Type	Class and Description
static class	KernelPrincipalComponentsAnalysis.Function<DataType> The resulting transformation function learned by Kernel Principal Components Analysis.

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

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

Modifier and Type	Class and Description
class	FeatureHashing Implements a function that applies vector feature hashing.
class	MultivariateDecorrelator Decorrelates a data using a mean and full or diagonal covariance matrix.

Uses of VectorOutputEvaluator in gov.sandia.cognition.learning.function.distance

Classes in gov.sandia.cognition.learning.function.distance that implement VectorOutputEvaluator

Modifier and Type	Class and Description
class	DivergencesEvaluator<InputType,ValueType> Evaluates the divergence (distance) between an input and a list of values, storing the resulting divergence values in a vector.

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

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

Modifier and Type	Class and Description
class	DifferentiableGeneralizedLinearModel A GradientDescenable version of a GeneralizedLinearModel, in other words, a GeneralizedLinearModel where the squashing function is differentiable
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	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	ScalarBasisSet<InputType> Collection of scalar basis functions, where the ith function operates on the ith element of the output Vector
class	SubVectorEvaluator Extracts the given set of indices from an input vector to create a new vector containing the input vector's elements at those indices.
class	ThreeLayerFeedforwardNeuralNetwork This is a "standard" feedforward neural network with a single hidden layer.

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

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

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

Uses of VectorOutputEvaluator in gov.sandia.cognition.text.topic

Classes in gov.sandia.cognition.text.topic that implement VectorOutputEvaluator

Modifier and Type	Class and Description
static class	LatentSemanticAnalysis.Transform The result from doing latent semantic analysis (LSA).
static class	ProbabilisticLatentSemanticAnalysis.Result The dimensionality transform created by probabilistic latent semantic analysis.