Uses of Class
gov.sandia.cognition.math.matrix.VectorFactory

Packages that use VectorFactory

Package	Description
gov.sandia.cognition.data.convert.vector	Provides utilities for doing data type conversion with vectors.
gov.sandia.cognition.framework.learning.converter	Provides implementations of CogxelConverters.
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.
gov.sandia.cognition.learning.function.distance	Provides distance 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.matrix.custom	Provides a custom linear algebra package implementation for both dense and sparse classes.
gov.sandia.cognition.math.matrix.mtj	Provides a linear algebra package implementation wrapper using the Matrix Toolkits for Java (MTJ) library.
gov.sandia.cognition.text.term.vector	Provides methods for handling documents represented as term vectors.
gov.sandia.cognition.text.term.vector.weighter.global	Provides global term weighting algorithms.
gov.sandia.cognition.text.term.vector.weighter.local	Provides local term weighting algorithms.
gov.sandia.cognition.text.topic	Provides topic modeling algorithms.

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

Fields in gov.sandia.cognition.data.convert.vector declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	AbstractToVectorEncoder.vectorFactory The vector factory to use to create new vectors.

Methods in gov.sandia.cognition.data.convert.vector that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	AbstractToVectorEncoder.getVectorFactory()

Methods in gov.sandia.cognition.data.convert.vector with parameters of type VectorFactory

Modifier and Type	Method and Description
void	AbstractToVectorEncoder.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory used by this encoder.

Constructors in gov.sandia.cognition.data.convert.vector with parameters of type VectorFactory

Constructor and Description
AbstractToVectorEncoder(VectorFactory<?> vectorFactory) Creates a new AbstractToVectorEncoder with the given vector factory.

Uses of VectorFactory in gov.sandia.cognition.framework.learning.converter

Constructors in gov.sandia.cognition.framework.learning.converter with parameters of type VectorFactory

Constructor and Description
CogxelVectorConverter(java.lang.Iterable<SemanticLabel> labels, SemanticIdentifierMap semanticIdentifierMap, VectorFactory<?> vectorFactory, CogxelFactory cogxelFactory) Creates a new CogxelVectorConverter.
CogxelVectorConverter(SemanticLabel[] labels, SemanticIdentifierMap semanticIdentifierMap, VectorFactory<?> vectorFactory, CogxelFactory cogxelFactory) Creates a new CogxelVectorConverter

Uses of VectorFactory in gov.sandia.cognition.learning.algorithm.perceptron

Fields in gov.sandia.cognition.learning.algorithm.perceptron declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	AbstractOnlineLinearBinaryCategorizerLearner.vectorFactory The factory to create weight vectors.
protected VectorFactory<?>	BatchMultiPerceptron.vectorFactory The factory to create weight vectors.
protected VectorFactory<?>	OnlineMultiPerceptron.vectorFactory The factory to create weight vectors.
protected VectorFactory<?>	OnlineVotedPerceptron.vectorFactory The factory to create weight vectors.

Methods in gov.sandia.cognition.learning.algorithm.perceptron that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	AbstractOnlineLinearBinaryCategorizerLearner.getVectorFactory() Gets the VectorFactory used to create the weight vector.
VectorFactory<?>	BatchMultiPerceptron.getVectorFactory() Gets the VectorFactory used to create the weight vector.
VectorFactory<?>	OnlineMultiPerceptron.getVectorFactory() Gets the VectorFactory used to create the weight vector.
VectorFactory<?>	OnlineVotedPerceptron.getVectorFactory() Gets the VectorFactory used to create the weight vector.
VectorFactory<?>	Perceptron.getVectorFactory()

Methods in gov.sandia.cognition.learning.algorithm.perceptron with parameters of type VectorFactory

Modifier and Type	Method and Description
LinearBinaryCategorizer	LinearizableBinaryCategorizerOnlineLearner.createInitialLinearLearnedObject(VectorFactory<?> vectorFactory) Creates the initial learned object.
SupervisedIncrementalLearner<Vectorizable,java.lang.Boolean,LinearBinaryCategorizer>	LinearizableBinaryCategorizerOnlineLearner.createLinearLearner(VectorFactory<?> vectorFactory) Creates a new linear learner using the standard learning interfaces based on this learner and its parameters.
void	AbstractOnlineLinearBinaryCategorizerLearner.setVectorFactory(VectorFactory<?> vectorFactory) Sets the VectorFactory used to create the weight vector.
void	BatchMultiPerceptron.setVectorFactory(VectorFactory<?> vectorFactory) Sets the VectorFactory used to create the weight vector.
void	OnlineMultiPerceptron.setVectorFactory(VectorFactory<?> vectorFactory) Sets the VectorFactory used to create the weight vector.
void	OnlineVotedPerceptron.setVectorFactory(VectorFactory<?> vectorFactory) Sets the VectorFactory used to create the weight vector.
void	Perceptron.setVectorFactory(VectorFactory<?> vectorFactory) Sets the VectorFactory used to create the weight vector.
void	LinearizableBinaryCategorizerOnlineLearner.update(LinearBinaryCategorizer target, InputOutputPair<? extends Vectorizable,java.lang.Boolean> data, VectorFactory<?> vectorFactory) Performs a linear incremental update step on the given object using the given supervised data.
void	LinearizableBinaryCategorizerOnlineLearner.update(LinearBinaryCategorizer target, java.lang.Iterable<? extends InputOutputPair<? extends Vectorizable,java.lang.Boolean>> data, VectorFactory<?> vectorFactory) Performs a linear incremental update step on the given object using the given supervised data.
void	LinearizableBinaryCategorizerOnlineLearner.update(LinearBinaryCategorizer target, Vectorizable input, boolean output, VectorFactory<?> vectorFactory) Performs a linear incremental update step on the given object using the given supervised data.
void	LinearizableBinaryCategorizerOnlineLearner.update(LinearBinaryCategorizer target, Vectorizable input, java.lang.Boolean output, VectorFactory<?> vectorFactory) Performs a linear incremental update step on the given object using the given supervised data.

Constructors in gov.sandia.cognition.learning.algorithm.perceptron with parameters of type VectorFactory

Constructor and Description
AbstractKernelizableBinaryCategorizerOnlineLearner(VectorFactory<?> vectorFactory) Creates a new AbstractKernelizableBinaryCategorizerOnlineLearner with the given vector factory.
AbstractLinearCombinationOnlineLearner(boolean updateBias, VectorFactory<?> vectorFactory) Creates a new AbstractLinearCombinationOnlineLearner with the given parameters.
AbstractOnlineLinearBinaryCategorizerLearner(VectorFactory<?> vectorFactory) Creates a new AbstractOnlineLinearBinaryCategorizerLearner with the given vector factory.
AbstractSoftMargin(double aggressiveness, VectorFactory<?> vectorFactory) Creates a new AbstractSoftMargin with the given parameters.
AggressiveRelaxedOnlineMaximumMarginAlgorithm(VectorFactory<?> vectorFactory) Creates a new AggressiveRelaxedOnlineMaximumMarginAlgorithm with the given vector factory.
BatchMultiPerceptron(int maxIterations, double minMargin, VectorFactory<?> vectorFactory) Creates a new BatchMultiPerceptron with the given parameters.
LinearSoftMargin(double aggressiveness, VectorFactory<?> vectorFactory) Creates a new LinearSoftMargin with the given parameters.
OnlineBinaryMarginInfusedRelaxedAlgorithm(double minMargin, VectorFactory<?> vectorFactory) Creates a new OnlineBinaryMarginInfusedRelaxedAlgorithm with the new minimum margin.
OnlineMultiPerceptron(double minMargin, VectorFactory<?> vectorFactory) Creates a new OnlineMultiPerceptron with the given minimum margin and backing vector factory.
OnlinePassiveAggressivePerceptron(VectorFactory<?> vectorFactory) Creates a new OnlinePassiveAggressivePerceptron with the given vector factory.
OnlinePerceptron(VectorFactory<?> vectorFactory) Creates a new OnlinePerceptron with the given vector factory.
OnlineRampPassiveAggressivePerceptron(double aggressiveness, VectorFactory<?> vectorFactory) Creates a new OnlineRampPassiveAggressivePerceptron with the given parameters.
OnlineShiftingPerceptron(double lambda, VectorFactory<?> vectorFactory) Creates a new OnlineShiftingPerceptron with the given parameters.
OnlineVotedPerceptron(VectorFactory<?> vectorFactory) Creates a new OnlinePerceptron with the given vector factory.
Perceptron(int maxIterations, double marginPositive, double marginNegative, VectorFactory<?> vectorFactory) Creates a new instance of Perceptron with the given parameters
ProportionalUpdate(double minMargin, VectorFactory<?> vectorFactory) Creates a new OnlineMultiPerceptron.ProportionalUpdate with the given minimum margin and backing vector factory.
QuadraticSoftMargin(double aggressiveness, VectorFactory<?> vectorFactory) Creates a new QuadraticSoftMargin with the given parameters.
RelaxedOnlineMaximumMarginAlgorithm(VectorFactory<?> vectorFactory) Creates a new RelaxedOnlineMaximumMarginAlgorithm with the given vector factory.
UniformUpdate(double minMargin, VectorFactory<?> vectorFactory) Creates a new OnlineMultiPerceptron.UniformUpdate with the given minimum margin and backing vector factory.

Uses of VectorFactory in gov.sandia.cognition.learning.algorithm.tree

Fields in gov.sandia.cognition.learning.algorithm.tree declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<? extends Vector>	RandomSubVectorThresholdLearner.vectorFactory The vector factory to use.

Methods in gov.sandia.cognition.learning.algorithm.tree that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<? extends Vector>	RandomSubVectorThresholdLearner.getVectorFactory() Gets the vector factory.

Methods in gov.sandia.cognition.learning.algorithm.tree with parameters of type VectorFactory

Modifier and Type	Method and Description
void	RandomSubVectorThresholdLearner.setVectorFactory(VectorFactory<? extends Vector> vectorFactory) Sets the vector factory.

Constructors in gov.sandia.cognition.learning.algorithm.tree with parameters of type VectorFactory

Constructor and Description
RandomSubVectorThresholdLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner, double percentToSample, int[] dimensionsToConsider, java.util.Random random, VectorFactory<? extends Vector> vectorFactory) Creates a new RandomSubVectorThresholdLearner.
RandomSubVectorThresholdLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner, double percentToSample, java.util.Random random, VectorFactory<? extends Vector> vectorFactory) Creates a new RandomSubVectorThresholdLearner.

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

Fields in gov.sandia.cognition.learning.data.feature declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	FeatureHashing.vectorFactory Vector factory to use.
protected VectorFactory<?>	RandomSubspace.vectorFactory The vector factory for the sub vector evaluator to use.

Methods in gov.sandia.cognition.learning.data.feature that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	FeatureHashing.getVectorFactory()
VectorFactory<? extends Vector>	RandomSubspace.getVectorFactory()

Methods in gov.sandia.cognition.learning.data.feature with parameters of type VectorFactory

Modifier and Type	Method and Description
void	FeatureHashing.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory to use.
void	RandomSubspace.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory to use.

Constructors in gov.sandia.cognition.learning.data.feature with parameters of type VectorFactory

Constructor and Description
FeatureHashing(int outputDimensionality, HashFunction hashFunction, VectorFactory<?> vectorFactory) Creates a new FeatureHashing with the given parameters.
RandomSubspace(int size, java.util.Random random, VectorFactory<?> vectorFactory) Creates a new RandomSubspace with the given parameters.

Uses of VectorFactory in gov.sandia.cognition.learning.function.categorization

Fields in gov.sandia.cognition.learning.function.categorization declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	WinnerTakeAllCategorizer.Learner.vectorFactory The vector factory used.

Methods in gov.sandia.cognition.learning.function.categorization that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	WinnerTakeAllCategorizer.Learner.getVectorFactory() Gets the vector factory.

Methods in gov.sandia.cognition.learning.function.categorization with parameters of type VectorFactory

Modifier and Type	Method and Description
void	WinnerTakeAllCategorizer.Learner.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory.

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

Fields in gov.sandia.cognition.learning.function.distance declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	DivergencesEvaluator.Learner.vectorFactory The vector factory to use.

Methods in gov.sandia.cognition.learning.function.distance that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<? extends Vector>	DivergencesEvaluator.Learner.getVectorFactory()

Methods in gov.sandia.cognition.learning.function.distance with parameters of type VectorFactory

Modifier and Type	Method and Description
void	DivergencesEvaluator.Learner.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory to use.

Constructors in gov.sandia.cognition.learning.function.distance with parameters of type VectorFactory

Constructor and Description
DivergencesEvaluator(DivergenceFunction<? super ValueType,? super InputType> divergenceFunction, java.util.Collection<ValueType> values, VectorFactory<?> vectorFactory) Creates a new DivergencesEvaluator with the given divergence and values.
Learner(BatchLearner<DataType,? extends java.util.Collection<ValueType>> learner, DivergenceFunction<? super ValueType,? super InputType> divergenceFunction, VectorFactory<?> vectorFactory) Creates a new DivergenceFunction.Learner with the given properties.

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

Fields in gov.sandia.cognition.learning.function.vector declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<?>	VectorizableVectorConverterWithBias.vectorFactory The factory used to create the vector.

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

Modifier and Type	Method and Description
VectorFactory<?>	VectorizableVectorConverterWithBias.getVectorFactory() Gets the vector factory used to create the vector with the bias.

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

Modifier and Type	Method and Description
void	VectorizableVectorConverterWithBias.setVectorFactory(VectorFactory<?> vectorFactory) Sets the vector factory used to create the vector with the bias.

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

Constructor and Description
SubVectorEvaluator(int inputDimensionality, int[] subIndices, VectorFactory<? extends Vector> vectorFactory) Creates a new SubVectorEvaluator with the given parameters.
VectorizableVectorConverterWithBias(VectorFactory<?> vectorFactory) Creates a new instance of VectorizableVectorConverterWithBias.

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

Subclasses of VectorFactory in gov.sandia.cognition.math.matrix

Modifier and Type	Class and Description
class	SparseVectorFactory<VectorType extends Vector> Abstract factory class for creating sparse vectors.

Fields in gov.sandia.cognition.math.matrix declared as VectorFactory

Modifier and Type	Field and Description
protected static VectorFactory<? extends Vector>	VectorFactory.DEFAULT_DENSE_INSTANCE The default VectorFactory instance.
protected VectorFactory<? extends Vector>	DefaultVectorFactoryContainer.vectorFactory The vector factory used to create new vectors.

Methods in gov.sandia.cognition.math.matrix that return VectorFactory

Modifier and Type	Method and Description
static VectorFactory<? extends Vector>	VectorFactory.getDefault() Gets the default implementation of the VectorFactory.
static VectorFactory<? extends Vector>	VectorFactory.getDenseDefault() Gets the default implementation of VectorFactory for dense vectors.
VectorFactory<? extends Vector>	DefaultVectorFactoryContainer.getVectorFactory() Gets the vector factory the object to use to create new vectors.
VectorFactory<?>	Vector.getVectorFactory() Gets a vector factory associated with this kind of vector.
VectorFactory<? extends Vector>	VectorFactoryContainer.getVectorFactory() Gets the vector factory the object to use to create new vectors.

Methods in gov.sandia.cognition.math.matrix with parameters of type VectorFactory

Modifier and Type	Method and Description
void	DefaultVectorFactoryContainer.setVectorFactory(VectorFactory<? extends Vector> vectorFactory) Sets the vector factory for the object to use to create new vectors.

Constructors in gov.sandia.cognition.math.matrix with parameters of type VectorFactory

Constructor and Description
DefaultVectorFactoryContainer(VectorFactory<? extends Vector> vectorFactory) Creates a new DefaultVectorFactoryContainer with the given factory.

Uses of VectorFactory in gov.sandia.cognition.math.matrix.custom

Subclasses of VectorFactory in gov.sandia.cognition.math.matrix.custom

Modifier and Type	Class and Description
class	CustomDenseVectorFactory Dense vector factory.
class	CustomSparseVectorFactory Generates Sparse Vectors with all settings initialized properly

Methods in gov.sandia.cognition.math.matrix.custom that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	DenseVector.getVectorFactory()
VectorFactory<?>	SparseVector.getVectorFactory()

Uses of VectorFactory in gov.sandia.cognition.math.matrix.mtj

Subclasses of VectorFactory in gov.sandia.cognition.math.matrix.mtj

Modifier and Type	Class and Description
class	DenseVectorFactoryMTJ VectorFactory for MTJ's DenseVector-based Vector
class	SparseVectorFactoryMTJ Factory for MTJ's SparseVector

Methods in gov.sandia.cognition.math.matrix.mtj that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<?>	DenseVector.getVectorFactory()

Uses of VectorFactory in gov.sandia.cognition.text.term.vector

Methods in gov.sandia.cognition.text.term.vector with parameters of type VectorFactory

Modifier and Type	Method and Description
static Vector	BagOfWordsTransform.convertToVector(java.lang.Iterable<? extends Termable> terms, TermIndex termIndex, VectorFactory<?> vectorFactory) Converts a given list of terms to a vector by counting the occurrence of each term.
Vector	BagOfWordsTransform.convertToVector(java.lang.Iterable<? extends Termable> terms, VectorFactory<?> vectorFactory) Converts a given list of terms to a vector by counting the occurrence of each term.

Constructors in gov.sandia.cognition.text.term.vector with parameters of type VectorFactory

Constructor and Description
BagOfWordsTransform(TermIndex termIndex, VectorFactory<? extends Vector> vectorFactory) Creates a new BagOfWordsTransform with the given term index.

Uses of VectorFactory in gov.sandia.cognition.text.term.vector.weighter.global

Fields in gov.sandia.cognition.text.term.vector.weighter.global declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<? extends Vector>	AbstractGlobalTermWeighter.vectorFactory The vector factory.

Methods in gov.sandia.cognition.text.term.vector.weighter.global that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<? extends Vector>	AbstractGlobalTermWeighter.getVectorFactory() Gets the vector factory.

Methods in gov.sandia.cognition.text.term.vector.weighter.global with parameters of type VectorFactory

Modifier and Type	Method and Description
void	AbstractGlobalTermWeighter.setVectorFactory(VectorFactory<? extends Vector> vectorFactory) Sets the vector factory.

Constructors in gov.sandia.cognition.text.term.vector.weighter.global with parameters of type VectorFactory

Constructor and Description
AbstractEntropyBasedGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new AbstractEntropyBasedGlobalTermWeighter.
AbstractFrequencyBasedGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new AbstractCountingBasedGlobalTermWeighter.
AbstractGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new AbstractGlobalTermWeighter.
DominanceGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new DominanceGlobalTermWeighter.
EntropyGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new EntropyGlobalTermWeighter.
InverseDocumentFrequencyGlobalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new InverseDocumentFrequencyGlobalTermWeighter.

Uses of VectorFactory in gov.sandia.cognition.text.term.vector.weighter.local

Constructors in gov.sandia.cognition.text.term.vector.weighter.local with parameters of type VectorFactory

Constructor and Description
AbstractLocalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new AbstractLocalTermWeighter.
BinaryLocalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new BinaryLocalTermWeighter.
LogLocalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new LogLocalTermWeighter.
NormalizedLogLocalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new NormalizedLogLocalTermWeighter
TermFrequencyLocalTermWeighter(VectorFactory<? extends Vector> vectorFactory) Creates a new LogLocalTermWeighter.

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

Fields in gov.sandia.cognition.text.topic declared as VectorFactory

Modifier and Type	Field and Description
protected VectorFactory<? extends Vector>	ProbabilisticLatentSemanticAnalysis.vectorFactory The vector factory.

Methods in gov.sandia.cognition.text.topic that return VectorFactory

Modifier and Type	Method and Description
VectorFactory<? extends Vector>	ProbabilisticLatentSemanticAnalysis.getVectorFactory() Gets the vector factory to use.

Methods in gov.sandia.cognition.text.topic with parameters of type VectorFactory

Modifier and Type	Method and Description
void	ProbabilisticLatentSemanticAnalysis.setVectorFactory(VectorFactory<? extends Vector> vectorFactory) Sets the vector factory to use.