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

Packages that use VectorFactoryContainer

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.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 VectorFactoryContainer in gov.sandia.cognition.data.convert.vector

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

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 VectorFactoryContainer in gov.sandia.cognition.framework.learning.converter

Classes in gov.sandia.cognition.framework.learning.converter that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	CogxelVectorConverter The CogxelVectorConverter implements a converter to convert Cogxels to and from Vector objects.

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

Classes in gov.sandia.cognition.learning.algorithm.perceptron that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	AbstractKernelizableBinaryCategorizerOnlineLearner An abstract implementation of the KernelizableBinaryCategorizerOnlineLearner interface.
class	AbstractLinearCombinationOnlineLearner An abstract class for online learning of linear binary categorizers that take the form of a weighted sum of inputs.
class	AbstractOnlineLinearBinaryCategorizerLearner An abstract class for online (incremental) learning algorithms that produce an LinearBinaryCategorizer.
class	AggressiveRelaxedOnlineMaximumMarginAlgorithm An implementation of the Aggressive Relaxed Online Maximum Margin Algorithm (AROMMA).
class	Ballseptron An implementation of the Ballseptron algorithm.
class	BatchMultiPerceptron<CategoryType> Implements a multi-class version of the standard batch Perceptron learning algorithm.
class	OnlineBinaryMarginInfusedRelaxedAlgorithm An implementation of the binary MIRA algorithm.
class	OnlineMultiPerceptron<CategoryType> An online, multiple category version of the Perceptron algorithm.
static class	OnlineMultiPerceptron.ProportionalUpdate<CategoryType> Variant of a multi-category Perceptron that performs a proportional weight update on all categories that are scored higher than the true category such that the weights sum to 1.0 and are proportional how much larger the score was for each incorrect category than the true category.
static class	OnlineMultiPerceptron.UniformUpdate<CategoryType> Variant of a multi-category Perceptron that performs a uniform weight update on all categories that are scored higher than the true category such that the weights are equal and sum to -1.
class	OnlinePassiveAggressivePerceptron An implementation of the Passive-Aggressive algorithm for learning a linear binary categorizer.
static class	OnlinePassiveAggressivePerceptron.AbstractSoftMargin An abstract class for soft-margin versions of the Passive-Aggressive algorithm.
static class	OnlinePassiveAggressivePerceptron.LinearSoftMargin An implementation of the linear soft-margin variant of the Passive- Aggressive algorithm (PA-I).
static class	OnlinePassiveAggressivePerceptron.QuadraticSoftMargin An implementation of the quadratic soft-margin variant of the Passive- Aggressive algorithm (PA-II).
class	OnlinePerceptron An online version of the classic Perceptron algorithm.
class	OnlineRampPassiveAggressivePerceptron An implementation of the Ramp Loss Passive Aggressive Perceptron (PA^R) from the referenced paper.
class	OnlineShiftingPerceptron An implementation of the Shifting Perceptron algorithm.
class	OnlineVotedPerceptron An online version of the Voted-Perceptron algorithm.
class	Perceptron The Perceptron class implements the standard Perceptron learning algorithm that learns a binary classifier based on vector input.
class	RelaxedOnlineMaximumMarginAlgorithm An implementation of the Relaxed Online Maximum Margin Algorithm (ROMMA).
class	Winnow An implementation of the Winnow incremental learning algorithm.

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

Classes in gov.sandia.cognition.learning.algorithm.tree that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	RandomSubVectorThresholdLearner<OutputType> Learns a decision function by taking a randomly sampling a subspace from a given set of input vectors and then learning a threshold function by passing the subspace vectors to a sublearner.

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

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

Modifier and Type	Class and Description
class	FeatureHashing Implements a function that applies vector feature hashing.
class	RandomSubspace Selects a random subspace from the given vector, which is a random set of indices.

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

Classes in gov.sandia.cognition.learning.function.categorization that implement VectorFactoryContainer

Modifier and Type	Class and Description
static class	WinnerTakeAllCategorizer.Learner<InputType,CategoryType> A learner for the adapter.

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

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

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.
static class	DivergencesEvaluator.Learner<DataType,InputType,ValueType> A learner adapter for the DivergencesEvaluator.

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

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

Modifier and Type	Class and Description
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	VectorizableVectorConverterWithBias The VectorizableVectorConverterWithBias class extends the VectorizableVectorConverter class to append a constant bias value of 1.0 to the vector returned by the converter.

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

Classes in gov.sandia.cognition.math.matrix that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	DefaultVectorFactoryContainer A default implementation of the VectorFactoryContainer interface.

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

Classes in gov.sandia.cognition.text.term.vector that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	BagOfWordsTransform Transforms a list of term occurrences into a vector of counts.

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

Classes in gov.sandia.cognition.text.term.vector.weighter.global that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	AbstractEntropyBasedGlobalTermWeighter An abstract implementation of a global term weighting scheme that keeps track of the sum of the entropy term (f_ij * log(f_ij)) over all documents.
class	AbstractFrequencyBasedGlobalTermWeighter An abstract GlobalTermWeighter that keeps track of term frequencies in documents.
class	AbstractGlobalTermWeighter An abstract implementation of the GlobalTermWeighter interface.
class	DominanceGlobalTermWeighter Implements the dominance term gloal weighting scheme.
class	EntropyGlobalTermWeighter Implements the entropy global term weighting scheme.
class	InverseDocumentFrequencyGlobalTermWeighter Implements the inverse-document-frequency (IDF) term global weighting scheme.

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

Classes in gov.sandia.cognition.text.term.vector.weighter.local that implement VectorFactoryContainer

Modifier and Type	Class and Description
class	AbstractLocalTermWeighter Abstract implementation of the LocalTermWeighter interface.
class	BinaryLocalTermWeighter Makes the given term weights binary, by creating a vector that contains a 1.0 for all non-zero entries in the given vector and a 0.0 for the all the zeros.
class	LogLocalTermWeighter Implements the log-based local term weighting scheme.
class	NormalizedLogLocalTermWeighter Implements a normalized version of the log local weighter.
class	TermFrequencyLocalTermWeighter Local weighting for term frequency.

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

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

Modifier and Type	Class and Description
class	ProbabilisticLatentSemanticAnalysis An implementation of the Probabilistic Latent Semantic Analysis (PLSA) algorithm.