gov.sandia.cognition.math.matrix

Interface VectorOutputEvaluator<InputType,OutputType extends Vectorizable>

Type Parameters:

InputType - Input type

OutputType - Type of the output Vectorizable

All Superinterfaces:

Evaluator<InputType,OutputType>

All Known Subinterfaces:

DataToVectorEncoder<InputType>

All Known Implementing Classes:

AbstractToVectorEncoder, DifferentiableGeneralizedLinearModel, DivergencesEvaluator, FeatureHashing, GaussianContextRecognizer, GeneralizedLinearModel, KernelPrincipalComponentsAnalysis.Function, LatentSemanticAnalysis.Transform, LinearDynamicalSystem, MultivariateDecorrelator, MultivariateDiscriminant, MultivariateDiscriminantWithBias, NumberConverterToVectorAdapter, NumberToVectorEncoder, ProbabilisticLatentSemanticAnalysis.Result, ScalarBasisSet, SubVectorEvaluator, ThreeLayerFeedforwardNeuralNetwork, UniqueBooleanVectorEncoder

public interface VectorOutputEvaluator<InputType,OutputType extends Vectorizable>
extends Evaluator<InputType,OutputType>

An interface for an evaluator that produces a vector of a fixed dimensionality.

Since:

3.0

Author:

Justin Basilico

Method Summary

Modifier and Type	Method and Description
int	getOutputDimensionality() Gets the expected dimensionality of the output vector of the evaluator, if it is known.

Methods inherited from interface gov.sandia.cognition.evaluator.Evaluator

evaluate

Method Detail

getOutputDimensionality

int getOutputDimensionality()

Gets the expected dimensionality of the output vector of the evaluator, if it is known. If it is not known, -1 is returned.

Returns:

The expected dimensionality of the output vector of the evaluator, or -1 if it is not known.