Packages

Package	Description
gov.sandia.cognition.algorithm	Provides general interfaces and implementations for algorithms.
gov.sandia.cognition.algorithm.event	Provides useful components for handling algorithm events.
gov.sandia.cognition.annotation	Provides commonly useful annotations.
gov.sandia.cognition.collection	Provides commonly useful collection implementations.
gov.sandia.cognition.data.convert	Provides utilities for doing data type conversion.
gov.sandia.cognition.data.convert.number	Provides utilities for doing data type conversion with numbers.
gov.sandia.cognition.data.convert.vector	Provides utilities for doing data type conversion with vectors.
gov.sandia.cognition.data.temporal	Provides interfaces for temporal data.
gov.sandia.cognition.evaluator	Provides interfaces and classes to do with the Evaluator interface.
gov.sandia.cognition.factory	Provides interfaces and implementations of general factory objects.
gov.sandia.cognition.framework	Provides the interfaces for the Cognitive Framework.
gov.sandia.cognition.framework.concurrent	Provides a concurrent implementation of teh Cognitive Framework.
gov.sandia.cognition.framework.io	Provides file format handlers for the Cognitive Framework.
gov.sandia.cognition.framework.learning	Provides a mechanism for putting learned objects into the Cognitive Framework.
gov.sandia.cognition.framework.learning.converter	Provides implementations of CogxelConverters.
gov.sandia.cognition.framework.lite	Provides a lightweight implementation of the Cognitive Framework.
gov.sandia.cognition.graph
gov.sandia.cognition.graph.community
gov.sandia.cognition.graph.inference
gov.sandia.cognition.hash	Provides hash function implementations.
gov.sandia.cognition.io	Provides general classes for assisting with input/output operations.
gov.sandia.cognition.io.serialization	Provides general classes for object serialization.
gov.sandia.cognition.learning.algorithm	Provides general interfaces for learning algorithms.
gov.sandia.cognition.learning.algorithm.annealing	Provides the Simulated Annealing algorithm.
gov.sandia.cognition.learning.algorithm.baseline	Provides baseline (dummy) learning algorithms.
gov.sandia.cognition.learning.algorithm.bayes	Provides algorithms for computing Bayesian categorizers.
gov.sandia.cognition.learning.algorithm.clustering	Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.cluster	Provides implementations of different types of clusters.
gov.sandia.cognition.learning.algorithm.clustering.divergence	Provides divergence functions for use in clustering.
gov.sandia.cognition.learning.algorithm.clustering.hierarchy	Provides a hierarchy for clusters.
gov.sandia.cognition.learning.algorithm.clustering.initializer	Provides implementations of methods for selecting initial clusters.
gov.sandia.cognition.learning.algorithm.confidence	Provides confidence-weighted categorization algorithms.
gov.sandia.cognition.learning.algorithm.delta	Provides an abstract class for helping to implement variants of the Burrows' Delta algorithm.
gov.sandia.cognition.learning.algorithm.ensemble	Provides ensemble methods.
gov.sandia.cognition.learning.algorithm.factor.machine	Provides factorization machine algorithms.
gov.sandia.cognition.learning.algorithm.genetic	Provides a genetic algorithm implementation.
gov.sandia.cognition.learning.algorithm.genetic.reproducer	Provides reproduction functions for use with a Genetic Algorithm.
gov.sandia.cognition.learning.algorithm.genetic.selector	Provides selection functions for a Genetic Algorithm.
gov.sandia.cognition.learning.algorithm.gradient	Provides gradient based learning algorithms.
gov.sandia.cognition.learning.algorithm.hmm	Provides hidden Markov model (HMM) algorithms.
gov.sandia.cognition.learning.algorithm.minimization	Provides minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line	Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line.interpolator	Provides line (scalar) interpolation/extrapolation algorithms that fit an algebraic function to a (small) collection of data points.
gov.sandia.cognition.learning.algorithm.minimization.matrix	Provides matrix solving algorithms.
gov.sandia.cognition.learning.algorithm.nearest	Provides algorithms for Nearest-Neighbor memory-based functions.
gov.sandia.cognition.learning.algorithm.pca	Provides implementations of Principle Components Analysis (PCA).
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.perceptron.kernel
gov.sandia.cognition.learning.algorithm.regression	Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.root	Provides algorithms for finding the roots, or zero crossings, of scalar functions.
gov.sandia.cognition.learning.algorithm.semisupervised.valence
gov.sandia.cognition.learning.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.
gov.sandia.cognition.learning.data	Provides data set utilities for learning.
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.
gov.sandia.cognition.learning.experiment	Provides experiments for validating the performance of learning algorithms.
gov.sandia.cognition.learning.function	Provides function objects for learning algorithms.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.
gov.sandia.cognition.learning.function.cost	Provides cost functions.
gov.sandia.cognition.learning.function.distance	Provides distance functions.
gov.sandia.cognition.learning.function.kernel	Provides kernel functions.
gov.sandia.cognition.learning.function.regression	Provides functions that output real numbers from some input data structure.
gov.sandia.cognition.learning.function.scalar	Provides functions that output real numbers.
gov.sandia.cognition.learning.function.summarizer	Provides classes for summarizing data.
gov.sandia.cognition.learning.function.vector	Provides functions that output vectors.
gov.sandia.cognition.learning.parameter	Provides utility classes for handling learning algorithm parameters.
gov.sandia.cognition.learning.performance	Provides performance measures.
gov.sandia.cognition.learning.performance.categorization	Provides performance measures for categorizers.
gov.sandia.cognition.math	Provides classes for mathematical computation.
gov.sandia.cognition.math.geometry	Provides classes and interfaces for computational geometry.
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.decomposition	Provides matrix decompositions.
gov.sandia.cognition.math.matrix.mtj	Provides a linear algebra package implementation wrapper using the Matrix Toolkits for Java (MTJ) library.
gov.sandia.cognition.math.matrix.mtj.decomposition	Provides matrix decomposition implementations using the Matrix Toolkits for Java (MTJ) library.
gov.sandia.cognition.math.signals	Provides mathematical signal processing methods.
gov.sandia.cognition.statistics	Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian	Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.bayesian.conjugate	Provides Bayesian estimation routines based on conjugate prior distribution of parameters of specific conditional distributions.
gov.sandia.cognition.statistics.distribution	Provides statistical distributions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
gov.sandia.cognition.statistics.montecarlo	Provides Monte Carlo procedures for numerical integration and sampling.
gov.sandia.cognition.text	Provides classes for processing text.
gov.sandia.cognition.text.algorithm
gov.sandia.cognition.text.convert	Provides classes for converting objects to a textual representation.
gov.sandia.cognition.text.document	Provides representations for textual documents.
gov.sandia.cognition.text.document.extractor	Provides extractors for pulling textual documents out of files.
gov.sandia.cognition.text.evaluation	Provides methods for evaluating text processing algorithms.
gov.sandia.cognition.text.relation	Provides classes for relationships involving text.
gov.sandia.cognition.text.spelling	Provides classes for spelling.
gov.sandia.cognition.text.term	Provides term representing text content in documents.
gov.sandia.cognition.text.term.filter	Provides classes for filtering and transforming terms.
gov.sandia.cognition.text.term.filter.stem	Provides stemming algorithms for terms.
gov.sandia.cognition.text.term.relation	Provides relationships between terms.
gov.sandia.cognition.text.term.vector	Provides methods for handling documents represented as term vectors.
gov.sandia.cognition.text.term.vector.weighter	Provides term weighting algorithms.
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.term.vector.weighter.normalize	Provides term weight normalization algorithms.
gov.sandia.cognition.text.token	Provides text tokenization algorithms.
gov.sandia.cognition.text.topic	Provides topic modeling algorithms.
gov.sandia.cognition.time	Provides classes for dealing with temporal data.
gov.sandia.cognition.util	Provides general utility classes.