A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

V

V - Variable in class gov.sandia.cognition.math.matrix.custom.DenseMatrix.SVD

The right basis matrix.

ValenceSpreader<TermType extends java.lang.Comparable<TermType>,DocIdType extends java.lang.Comparable<DocIdType>> - Class in gov.sandia.cognition.text.algorithm

This class serves as a wrapper for the MultipartiteValenceMatrix class to simplify the interface for the most common valence task: Ranking a set of documents based on a small set of scored documents and/or a set of scored terms.

ValenceSpreader() - Constructor for class gov.sandia.cognition.text.algorithm.ValenceSpreader

Creates an empty valence spreader.

ValenceSpreader.Result<TermType,DocIdType> - Class in gov.sandia.cognition.text.algorithm

The return type from running the spreadValence methods.

validationData - Variable in class gov.sandia.cognition.learning.performance.AnytimeBatchLearnerValidationPerformanceReporter

The validation dataset to use.

ValidationFoldCreator<InputDataType,FoldDataType> - Interface in gov.sandia.cognition.learning.experiment

The ValidationFoldCreator interface defines the functionality for an object that can create a collection of folds for a validation experiment where a set of data is split into training and testing sets multiple times.

value - Variable in class gov.sandia.cognition.collection.AbstractLogNumberMap.SimpleEntry

Value associated with the entry

value - Variable in class gov.sandia.cognition.collection.AbstractMutableDoubleMap.SimpleEntry

Value associated with the entry

value - Variable in class gov.sandia.cognition.learning.algorithm.baseline.ConstantLearner

The result of learning.

value - Variable in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeNode

The value stored at the tree node.

value - Variable in class gov.sandia.cognition.learning.data.DefaultValueDiscriminantPair

The value.

value - Variable in class gov.sandia.cognition.learning.function.ConstantEvaluator

The output value.

value - Variable in class gov.sandia.cognition.math.geometry.KDTree

VectorType,DataType value for this node of the subtree.

value - Variable in class gov.sandia.cognition.math.MutableDouble

The value.

value - Variable in class gov.sandia.cognition.math.MutableInteger

The value.

value - Variable in class gov.sandia.cognition.math.MutableLong

The value.

value - Variable in class gov.sandia.cognition.util.DefaultIdentifiedValue

The value.

value - Variable in class gov.sandia.cognition.util.DefaultKeyValuePair

The value part in the pair, which is the second element.

value - Variable in class gov.sandia.cognition.util.DefaultNamedValue

The value.

value - Variable in class gov.sandia.cognition.util.DefaultTemporalValue

The value associated with the time.

value - Variable in class gov.sandia.cognition.util.DefaultWeightedValue

The value.

ValueClamper<DataType extends java.lang.Comparable<DataType>> - Class in gov.sandia.cognition.evaluator

An evaluator that clamps a number between minimum and maximum values.

ValueClamper() - Constructor for class gov.sandia.cognition.evaluator.ValueClamper

Creates a new ValueClamper.

ValueClamper(DataType, DataType) - Constructor for class gov.sandia.cognition.evaluator.ValueClamper

Creates a new ValueClamper with the given minimum and maximum values.

ValueDiscriminantPair<ValueType,DiscriminantType extends java.lang.Comparable<? super DiscriminantType>> - Interface in gov.sandia.cognition.learning.data

Interface for a pair of a value and a discriminant for ordering instances that have the same value.

valueList - Variable in class gov.sandia.cognition.collection.DefaultIndexer

The list of values, which can be accessed by index.

valueList() - Method in class gov.sandia.cognition.collection.DefaultIndexer

valueList() - Method in interface gov.sandia.cognition.collection.Indexer

Gets the list of values in the index.

valueMap - Variable in class gov.sandia.cognition.evaluator.ValueMapper

The map to use to map input values to output values.

ValueMapper<InputType,OutputType> - Class in gov.sandia.cognition.evaluator

An evaluator that uses a map to map input values to their appropriate output values.

ValueMapper() - Constructor for class gov.sandia.cognition.evaluator.ValueMapper

Creates a new ValueMapper.

ValueMapper(Map<InputType, OutputType>) - Constructor for class gov.sandia.cognition.evaluator.ValueMapper

Creates a new ValueMapper with the given map.

valueOf(String) - Static method in enum gov.sandia.cognition.annotation.PublicationType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum gov.sandia.cognition.annotation.SoftwareLicenseType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum gov.sandia.cognition.framework.SemanticIdentifierMapEventType

Returns the enum constant of this type with the specified name.

valueOf(char) - Static method in class gov.sandia.cognition.hash.HashFunctionUtil

Returns the hex value of the given character

valueOf(String) - Static method in enum gov.sandia.cognition.io.ProcessLauncherEvent.EventType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum gov.sandia.cognition.math.matrix.EntryIndexComparator.Compare

Returns the enum constant of this type with the specified name.

values() - Static method in enum gov.sandia.cognition.annotation.PublicationType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum gov.sandia.cognition.annotation.SoftwareLicenseType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class gov.sandia.cognition.collection.DynamicArrayMap

values - Variable in class gov.sandia.cognition.data.convert.vector.UniqueBooleanVectorEncoder

The set of possible unique values.

values() - Static method in enum gov.sandia.cognition.framework.SemanticIdentifierMapEventType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum gov.sandia.cognition.io.ProcessLauncherEvent.EventType

Returns an array containing the constants of this enum type, in the order they are declared.

values - Variable in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator

The data to evaluate the divergence from.

values - Variable in class gov.sandia.cognition.math.matrix.custom.SparseMatrix

Part of the compressed Yale format.

values() - Static method in enum gov.sandia.cognition.math.matrix.EntryIndexComparator.Compare

Returns an array containing the constants of this enum type, in the order they are declared.

valuesAsList() - Method in class gov.sandia.cognition.math.matrix.AbstractMatrix

valuesAsList() - Method in class gov.sandia.cognition.math.matrix.AbstractVector

valuesAsList() - Method in interface gov.sandia.cognition.math.matrix.Matrix

Returns a column-stacked view of this matrix as a list.

valuesAsList() - Method in interface gov.sandia.cognition.math.matrix.Vector

Gets a view of this vector as a list.

valueSet() - Method in class gov.sandia.cognition.collection.DefaultIndexer

valueSet() - Method in interface gov.sandia.cognition.collection.Indexer

Gets the set of values in the index.

valueToIndexMap - Variable in class gov.sandia.cognition.collection.DefaultIndexer

The mapping of values to their indices.

variance - Variable in class gov.sandia.cognition.learning.data.feature.StandardDistributionNormalizer

The variance for normalization.

variance - Variable in class gov.sandia.cognition.learning.function.categorization.DiagonalConfidenceWeightedBinaryCategorizer

The variance values, which is the diagonal of the covariance matrix.

VARIANCE - Static variable in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution

Value of the variance, found empirically, as I can't seem to find the answer in any reference I can get my hands on, 0.06759934611527044.

variance - Variable in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian

Second central moment (square of standard deviation) of the distribution

Vector - Interface in gov.sandia.cognition.math.matrix

The Vector interface defines the operations that are expected on a mathematical vector.

Vector.IndexValueConsumer - Interface in gov.sandia.cognition.math.matrix

Defines the functionality for a consumer of vector entries, which are an index and a value.

Vector.IndexValueTransform - Interface in gov.sandia.cognition.math.matrix

Defines the functionality for a transform of vector entries, which are an index and a value and return the new value.

Vector1 - Class in gov.sandia.cognition.math.matrix.mtj

Implements a one-dimensional MTJ DenseVector.

Vector1() - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector1

Creates a new instance of Vector1 that is all zeros.

Vector1(double) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector1

Creates a new instance of Vector1 with the given value.

Vector1(Vector) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector1

Creates a new instance of Vector1 with values copied from the given vector.

Vector1(Vector1D) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector1

Creates a new instance of Vector1 with values copied from the given vector.

Vector1D - Interface in gov.sandia.cognition.math.matrix

An interface for a 1-dimensional vector.

Vector2 - Class in gov.sandia.cognition.math.matrix.mtj

Implements a two-dimensional MTJ DenseVector.

Vector2() - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector2

Creates a new instance of Vector2 that is all zeros.

Vector2(double, double) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector2

Creates a new instance of Vector2 with the given coordinates.

Vector2(Vector) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector2

Creates a new instance of Vector2 with values copied from the given vector.

Vector2(Vector2D) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector2

Creates a new instance of Vector2 wi th values copied from the given vector.

Vector2D - Interface in gov.sandia.cognition.math.matrix

An interface for a 2-dimensional vector.

Vector3 - Class in gov.sandia.cognition.math.matrix.mtj

Implements a three-dimensional DenseVector.

Vector3() - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector3

Creates a new instance of Vector3 that is all zeros.

Vector3(double, double, double) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector3

Creates a new instance of Vector3 with the given values.

Vector3(Vector) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector3

Creates a new instance of Vector3 with values copied from the given vector.

Vector3(Vector3D) - Constructor for class gov.sandia.cognition.math.matrix.mtj.Vector3

Creates a new instance of Vector3 with values copied from the given vector.

Vector3D - Interface in gov.sandia.cognition.math.matrix

An interface for a 3-dimensional vector.

VectorBasedCognitiveModelInput - Class in gov.sandia.cognition.framework.lite

Vector-based cognitive model input used by VectorBasedPerceptionModule.

VectorBasedCognitiveModelInput(SemanticIdentifier[], Vector) - Constructor for class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput

Creates a new instance of VectorBasedCognitiveModelInput

VectorBasedCognitiveModelInput(VectorBasedCognitiveModelInput) - Constructor for class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput

Copy Constructor

VectorBasedPerceptionModule - Class in gov.sandia.cognition.framework.lite

Module that takes CognitiveModelInputs and turns them into a Vector

VectorBasedPerceptionModule(CogxelFactory) - Constructor for class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModule

Creates a new instance of VectorBasedPerceptionModule

VectorBasedPerceptionModuleFactory - Class in gov.sandia.cognition.framework.lite

Factory for a VectorBasedPerceptionModule

VectorBasedPerceptionModuleFactory() - Constructor for class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModuleFactory

Creates a new instance of VectorBasedPerceptionModuleFactory

VectorBasedPerceptionModuleFactory(CogxelFactory) - Constructor for class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModuleFactory

Creates a new instance of VectorBasedPerceptionModuleFactory

VectorElementThresholdCategorizer - Class in gov.sandia.cognition.learning.function.categorization

The VectorElementThresholdCategorizer class implements a BinaryCategorizer that categorizes an input vector by applying a threshold to an element in a the vector.

VectorElementThresholdCategorizer() - Constructor for class gov.sandia.cognition.learning.function.categorization.VectorElementThresholdCategorizer

Creates a new instance of VectorElementThresholdCategorizer.

VectorElementThresholdCategorizer(int, double) - Constructor for class gov.sandia.cognition.learning.function.categorization.VectorElementThresholdCategorizer

Creates a new instance of VectorElementThresholdCategorizer.

VectorElementThresholdCategorizer(VectorElementThresholdCategorizer) - Constructor for class gov.sandia.cognition.learning.function.categorization.VectorElementThresholdCategorizer

Creates a new instance of VectorElementThresholdCategorizer.

VectorEntry - Interface in gov.sandia.cognition.math.matrix

Interface the specifies the functionality that a VectorEntry should have

VectorEntryFunction - Class in gov.sandia.cognition.learning.function.scalar

An evaluator that returns the value of an input vector at a specified index.

VectorEntryFunction() - Constructor for class gov.sandia.cognition.learning.function.scalar.VectorEntryFunction

Creates a new VectorEntryFunction with an initial index of 0.

VectorEntryFunction(int) - Constructor for class gov.sandia.cognition.learning.function.scalar.VectorEntryFunction

Creates a new VectorEntryFunction with the given index.

VectorEntryIndexComparator - Class in gov.sandia.cognition.math.matrix

An index comparator for VectorEntry objects.

VectorEntryIndexComparator() - Constructor for class gov.sandia.cognition.math.matrix.VectorEntryIndexComparator

Creates a new instance of VectorEntryIndexComparator

vectorFactory - Variable in class gov.sandia.cognition.data.convert.vector.AbstractToVectorEncoder

The vector factory to use to create new vectors.

vectorFactory - Variable in class gov.sandia.cognition.learning.algorithm.perceptron.AbstractOnlineLinearBinaryCategorizerLearner

The factory to create weight vectors.

vectorFactory - Variable in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron

The factory to create weight vectors.

vectorFactory - Variable in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineMultiPerceptron

The factory to create weight vectors.

vectorFactory - Variable in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineVotedPerceptron

The factory to create weight vectors.

vectorFactory - Variable in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner

The vector factory to use.

vectorFactory - Variable in class gov.sandia.cognition.learning.data.feature.FeatureHashing

Vector factory to use.

vectorFactory - Variable in class gov.sandia.cognition.learning.data.feature.RandomSubspace

The vector factory for the sub vector evaluator to use.

vectorFactory - Variable in class gov.sandia.cognition.learning.function.categorization.WinnerTakeAllCategorizer.Learner

The vector factory used.

vectorFactory - Variable in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator.Learner

The vector factory to use.

vectorFactory - Variable in class gov.sandia.cognition.learning.function.vector.VectorizableVectorConverterWithBias

The factory used to create the vector.

vectorFactory - Variable in class gov.sandia.cognition.math.matrix.DefaultVectorFactoryContainer

The vector factory used to create new vectors.

VectorFactory<VectorType extends Vector> - Class in gov.sandia.cognition.math.matrix

Abstract factory for creating Vector objects.

VectorFactory() - Constructor for class gov.sandia.cognition.math.matrix.VectorFactory

Creates a new VectorFactory.

vectorFactory - Variable in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractGlobalTermWeighter

The vector factory.

vectorFactory - Variable in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis

The vector factory.

VectorFactoryContainer - Interface in gov.sandia.cognition.math.matrix

Interface for a container for a vector factory.

vectorFunction - Variable in class gov.sandia.cognition.learning.function.scalar.VectorFunctionToScalarFunction

The function that takes a given input and outputs a 1-dimensional vector.

VectorFunction - Interface in gov.sandia.cognition.math.matrix

A vector function is a type of Evaluator that takes a Vector for its input and output.

VectorFunctionKernel - Class in gov.sandia.cognition.learning.function.kernel

The VectorFunctionKernel implements a kernel that makes use of a vector function plus a kernel that operates on vectors.

VectorFunctionKernel() - Constructor for class gov.sandia.cognition.learning.function.kernel.VectorFunctionKernel

Creates a new instance of VectorFunctionKernel.

VectorFunctionKernel(VectorFunction) - Constructor for class gov.sandia.cognition.learning.function.kernel.VectorFunctionKernel

Creates a new VectorFunctionKernel from the given function.

VectorFunctionKernel(VectorFunction, Kernel<? super Vector>) - Constructor for class gov.sandia.cognition.learning.function.kernel.VectorFunctionKernel

Creates a new VectorFunctionKernel from the given function and kernel.

VectorFunctionLinearDiscriminant<InputType> - Class in gov.sandia.cognition.learning.function.scalar

This class takes a function that maps a generic InputType to a Vector.

VectorFunctionLinearDiscriminant(Evaluator<? super InputType, Vector>, LinearDiscriminant) - Constructor for class gov.sandia.cognition.learning.function.scalar.VectorFunctionLinearDiscriminant

Creates a new instance of VectorFunctionLinearDiscriminant

VectorFunctionToScalarFunction<InputType> - Class in gov.sandia.cognition.learning.function.scalar

The VectorFunctionToScalarFunction class implements an adapter for using a vector function that outputs a single-dimensional vector as a scalar function.

VectorFunctionToScalarFunction() - Constructor for class gov.sandia.cognition.learning.function.scalar.VectorFunctionToScalarFunction

Creates a new instance of VectorFunctionToScalarFunction.

VectorFunctionToScalarFunction(Evaluator<? super InputType, ? extends Vectorizable>) - Constructor for class gov.sandia.cognition.learning.function.scalar.VectorFunctionToScalarFunction

Creates a new instance of VectorFunctionToScalarFunction.

VectorFunctionToScalarFunction.Learner<InputType> - Class in gov.sandia.cognition.learning.function.scalar

The VectorFunctionToScalarFunction.Learner class implements a simple learner for a VectorFunctionToScalarFunction that allows a learning algorithm that outputs a vector function to be adapted to learn on data whose output are doubles.

VectorInputEvaluator<InputType extends Vectorizable,OutputType> - Interface in gov.sandia.cognition.math.matrix

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

VectorIterator - Class in gov.sandia.cognition.math.matrix.custom

Small helper class that iterates over all values from this vector.

Vectorizable - Interface in gov.sandia.cognition.math.matrix

The Vectorizable interface is an interface for an object that can be converted to and from a Vector.

VectorizableCrossoverFunction - Class in gov.sandia.cognition.learning.algorithm.genetic.reproducer

The VectorizableCrossoverFunction class is a CrossoverFunction that takes two Vectorizable.

VectorizableCrossoverFunction() - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.reproducer.VectorizableCrossoverFunction

Creates a new instance of VectorizableCrossoverFunction with an crossover probability of 0.5.

VectorizableCrossoverFunction(double) - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.reproducer.VectorizableCrossoverFunction

Creates a new instance of VectorizableCrossoverFunction.

VectorizableCrossoverFunction(double, Random) - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.reproducer.VectorizableCrossoverFunction

Creates a new instance of VectorizableCrossoverFunction.

VectorizableDifferentiableVectorFunction - Interface in gov.sandia.cognition.math.matrix

A VectorizableVectorFunction that also define a derivative (this is needed for GradientDescendable).

VectorizableIndexComparator - Class in gov.sandia.cognition.math.matrix

Compares the given index of two Vectorizables.

VectorizableIndexComparator() - Constructor for class gov.sandia.cognition.math.matrix.VectorizableIndexComparator

Creates a new instance of VectorizableIndexComparator

VectorizableIndexComparator(int) - Constructor for class gov.sandia.cognition.math.matrix.VectorizableIndexComparator

Creates a new instance of VectorizableIndexComparator

VectorizablePerturber - Class in gov.sandia.cognition.learning.algorithm.annealing

The VectorizablePerturber implements a Perturber for Vectorizable objects.

VectorizablePerturber(Random, Matrix) - Constructor for class gov.sandia.cognition.learning.algorithm.annealing.VectorizablePerturber

Creates a new instance of VectorizablePerturber.

VectorizableVectorConverter - Class in gov.sandia.cognition.learning.function.vector

The VectorizableVectorConverter class implements a conversion between a Vectorizable and an Vector by calling the proper conversion method on the Vectorizable.

VectorizableVectorConverter() - Constructor for class gov.sandia.cognition.learning.function.vector.VectorizableVectorConverter

Creates a new VectorizableVectorConverter.

VectorizableVectorConverterWithBias - Class in gov.sandia.cognition.learning.function.vector

The VectorizableVectorConverterWithBias class extends the VectorizableVectorConverter class to append a constant bias value of 1.0 to the vector returned by the converter.

VectorizableVectorConverterWithBias() - Constructor for class gov.sandia.cognition.learning.function.vector.VectorizableVectorConverterWithBias

Creates a new instance of VectorizableVectorConverterWithBias.

VectorizableVectorConverterWithBias(VectorFactory<?>) - Constructor for class gov.sandia.cognition.learning.function.vector.VectorizableVectorConverterWithBias

Creates a new instance of VectorizableVectorConverterWithBias.

VectorizableVectorFunction - Interface in gov.sandia.cognition.math.matrix

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.

VectorJacobian() - Constructor for class gov.sandia.cognition.math.matrix.NumericalDifferentiator.VectorJacobian

Default constructor

VectorJacobian(Evaluator<? super Vector, Double>) - Constructor for class gov.sandia.cognition.math.matrix.NumericalDifferentiator.VectorJacobian

Creates a new instance of VectorJacobian

VectorJacobian(Evaluator<? super Vector, Double>, double) - Constructor for class gov.sandia.cognition.math.matrix.NumericalDifferentiator.VectorJacobian

Create a new instance of VectorJacobian

vectorLearner - Variable in class gov.sandia.cognition.learning.function.scalar.VectorFunctionToScalarFunction.Learner

The supervised learner that learns on vectors as outputs.

VectorMeanCentroidClusterCreator - Class in gov.sandia.cognition.learning.algorithm.clustering.cluster

The VectorMeanCentroidClusterCreator class implements a cluster creator for centroid clusters where the centroid is the mean of the vectors that are members of the cluster.

VectorMeanCentroidClusterCreator() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.VectorMeanCentroidClusterCreator

Creates a new instance of VectorMeanCentroidClusterCreator

VectorMeanMiniBatchCentroidClusterCreator - Class in gov.sandia.cognition.learning.algorithm.clustering.cluster

Implementation of VectorMeanCentroidClusterCreator for mini-batch clustering.

VectorMeanMiniBatchCentroidClusterCreator() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.VectorMeanMiniBatchCentroidClusterCreator

Creates a new VectorMeanMiniBatchCentroidClusterCreator.

VectorNaiveBayesCategorizer<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction> - Class in gov.sandia.cognition.learning.algorithm.bayes

A naive Bayesian categorizer that takes an input vector and applies an independent scalar probability density function to each one.

VectorNaiveBayesCategorizer() - Constructor for class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer

Creates a new VectorNaiveBayesCategorizer with an empty prior and conditionals.

VectorNaiveBayesCategorizer(DataDistribution<CategoryType>, Map<CategoryType, List<DistributionType>>) - Constructor for class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer

Creates a new VectorNaiveBayesCategorizer with the given prior and conditionals.

VectorNaiveBayesCategorizer.BatchGaussianLearner<CategoryType> - Class in gov.sandia.cognition.learning.algorithm.bayes

A supervised batch distributionLearner for a vector Naive Bayes categorizer that fits a Gaussian.

VectorNaiveBayesCategorizer.Learner<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction> - Class in gov.sandia.cognition.learning.algorithm.bayes

A supervised batch distributionLearner for a vector Naive Bayes categorizer.

VectorNaiveBayesCategorizer.OnlineLearner<CategoryType,DistributionType extends UnivariateProbabilityDensityFunction> - Class in gov.sandia.cognition.learning.algorithm.bayes

An online (incremental) distributionLearner for the Naive Bayes categorizer that uses an incremental distribution learner for the distribution representing each dimension for each category.

VectorOutputEvaluator<InputType,OutputType extends Vectorizable> - Interface in gov.sandia.cognition.math.matrix

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

VectorReader - Class in gov.sandia.cognition.math.matrix

Reads a Vector from a single line in a file

VectorReader(Reader) - Constructor for class gov.sandia.cognition.math.matrix.VectorReader

Creates a new instance of VectorReader

VectorReader(ReaderTokenizer) - Constructor for class gov.sandia.cognition.math.matrix.VectorReader

Creates a new instance of VectorReader

VectorSpace<VectorType extends VectorSpace<VectorType,?>,EntryType extends VectorSpace.Entry> - Interface in gov.sandia.cognition.math.matrix

In the Foundry, a VectorSpace is a type of Ring that we can perform Vector-like operations on: norm, distances between Vectors, etc.

VectorSpace.Entry - Interface in gov.sandia.cognition.math.matrix

Entry into the VectorSpace

VectorSpaceModel - Interface in gov.sandia.cognition.text.term.vector

An interface for a model based on vector representations of documents.

VectorThresholdGiniImpurityLearner<OutputType> - Class in gov.sandia.cognition.learning.algorithm.tree

Learns vector thresholds based on the Gini impurity measure.

VectorThresholdGiniImpurityLearner() - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdGiniImpurityLearner

Creates a new instance of VectorThresholdGiniImpurityLearner.

VectorThresholdGiniImpurityLearner(int) - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdGiniImpurityLearner

Creates a new VectorThresholdGiniImpurityLearner.

VectorThresholdHellingerDistanceLearner<OutputType> - Class in gov.sandia.cognition.learning.algorithm.tree

A categorization tree decision function learner on vector data that learns a vector value threshold function using the Hellinger distance.

VectorThresholdHellingerDistanceLearner() - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdHellingerDistanceLearner

Creates a new VectorThresholdHellingerDistanceLearner.

VectorThresholdHellingerDistanceLearner(int) - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdHellingerDistanceLearner

Creates a new VectorThresholdHellingerDistanceLearner.

VectorThresholdInformationGainLearner<OutputType> - Class in gov.sandia.cognition.learning.algorithm.tree

The VectorThresholdInformationGainLearner computes the best threshold over a dataset of vectors using information gain to determine the optimal index and threshold.

VectorThresholdInformationGainLearner() - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdInformationGainLearner

Creates a new instance of VectorDeciderLearner.

VectorThresholdInformationGainLearner(int) - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdInformationGainLearner

Creates a new VectorThresholdInformationGainLearner.

VectorThresholdLearner<OutputType> - Interface in gov.sandia.cognition.learning.algorithm.tree

An interface class for decider learners that produce a threshold function on a vector element based on maximizing some gain value.

VectorThresholdVarianceLearner - Class in gov.sandia.cognition.learning.algorithm.tree

The VectorThresholdVarianceLearner computes the best threshold over a dataset of vectors using the reduction in variance to determine the optimal index and threshold.

VectorThresholdVarianceLearner() - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdVarianceLearner

Creates a new VectorThresholdVarianceLearner.

VectorThresholdVarianceLearner(int) - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdVarianceLearner

Creates a new VectorThresholdVarianceLearner

VectorThresholdVarianceLearner(int, int...) - Constructor for class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdVarianceLearner

Creates a new VectorThresholdVarianceLearner.

VectorUnionIterator - Class in gov.sandia.cognition.math.matrix

Iterator that returns all nonzero entries for either underlying Vector

VectorUnionIterator(Vector, Vector) - Constructor for class gov.sandia.cognition.math.matrix.VectorUnionIterator

Creates a new instance of VectorUnionIterator.

VectorUnionIterator(Iterator<VectorEntry>, Iterator<VectorEntry>, TwoVectorEntry) - Constructor for class gov.sandia.cognition.math.matrix.VectorUnionIterator

Creates a new instance of VectorUnionIterator

VectorUtil - Class in gov.sandia.cognition.math.matrix

Utility methods for dealing with vectors.

VectorUtil() - Constructor for class gov.sandia.cognition.math.matrix.VectorUtil

VectorWriter - Class in gov.sandia.cognition.math.matrix

Writes a Vector to a Java-based Writer (files, etc.)

VectorWriter(Writer) - Constructor for class gov.sandia.cognition.math.matrix.VectorWriter

Creates a new instance of VectorWriter

viterbi(Collection<? extends ObservationType>) - Method in class gov.sandia.cognition.learning.algorithm.hmm.HiddenMarkovModel

Viterbi algorithm for decoding the most-likely sequence of states from the HMMs underlying Markov chain for a given observation sequence.

viterbiTasks - Variable in class gov.sandia.cognition.learning.algorithm.hmm.ParallelHiddenMarkovModel

Viterbi tasks.

voteOutOfBagOnly - Variable in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner

Controls whether or not an ensemble member can vote on items it was trained on during learning.

VotingCategorizerEnsemble<InputType,CategoryType,MemberType extends Evaluator<? super InputType,? extends CategoryType>> - Class in gov.sandia.cognition.learning.algorithm.ensemble

An ensemble of categorizers that determine the result based on an equal-weight vote.

VotingCategorizerEnsemble() - Constructor for class gov.sandia.cognition.learning.algorithm.ensemble.VotingCategorizerEnsemble

Creates a new, empty VotingCategorizerEnsemble.

VotingCategorizerEnsemble(Set<CategoryType>) - Constructor for class gov.sandia.cognition.learning.algorithm.ensemble.VotingCategorizerEnsemble

Creates a new, empty VotingCategorizerEnsemble with the given set of categories.

VotingCategorizerEnsemble(Set<CategoryType>, List<MemberType>) - Constructor for class gov.sandia.cognition.learning.algorithm.ensemble.VotingCategorizerEnsemble

Creates a new VotingCategorizerEnsemble with the given set of categories and list of members.

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