Uses of Interface

Packages that use VectorOutputEvaluator Provides utilities for doing data type conversion with vectors. 
gov.sandia.cognition.learning.algorithm.pca Provides implementations of Principle Components Analysis (PCA). 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

Subinterfaces of VectorOutputEvaluator in
 interface DataToVectorEncoder<InputType>
          Defines a converter that can be used to encode data into a Vector.

Classes in that implement VectorOutputEvaluator
 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
static class KernelPrincipalComponentsAnalysis.Function<DataType>
          The resulting transformation function learned by Kernel Principal Components Analysis.

Uses of VectorOutputEvaluator in

Classes in that implement VectorOutputEvaluator
 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
 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
 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
 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
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.