G-Index (Cognitive Foundry)

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

G

GammaDistribution - Class in gov.sandia.cognition.statistics.distribution: Class representing the Gamma distribution.
GammaDistribution() - Constructor for class gov.sandia.cognition.statistics.distribution.GammaDistribution: Default constructor.
GammaDistribution(double, double) - Constructor for class gov.sandia.cognition.statistics.distribution.GammaDistribution: Creates a new instance of GammaDistribution
GammaDistribution(GammaDistribution) - Constructor for class gov.sandia.cognition.statistics.distribution.GammaDistribution: Copy constructor
GammaDistribution.CDF - Class in gov.sandia.cognition.statistics.distribution: CDF of the Gamma distribution
GammaDistribution.MomentMatchingEstimator - Class in gov.sandia.cognition.statistics.distribution: Computes the parameters of a Gamma distribution by the Method of Moments
GammaDistribution.PDF - Class in gov.sandia.cognition.statistics.distribution: Closed-form PDF of the Gamma distribution
GammaDistribution.WeightedMomentMatchingEstimator - Class in gov.sandia.cognition.statistics.distribution: Estimates the parameters of a Gamma distribution using the matching of moments, not maximum likelihood.
GammaInverseScaleBayesianEstimator - Class in gov.sandia.cognition.statistics.bayesian.conjugate: A Bayesian estimator for the scale parameter of a Gamma distribution using the conjugate prior Gamma distribution for the inverse-scale (rate) of the Gamma.
GammaInverseScaleBayesianEstimator() - Constructor for class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator: Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator(double, GammaDistribution) - Constructor for class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator: Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator(GammaDistribution, GammaDistribution) - Constructor for class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator: Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator(BayesianParameter<Double, GammaDistribution, GammaDistribution>) - Constructor for class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator: Creates a new instance of GammaInverseScaleBayesianEstimator
GammaInverseScaleBayesianEstimator.Parameter - Class in gov.sandia.cognition.statistics.bayesian.conjugate: Bayesian parameter describing this conjugate relationship.
gaussian - Variable in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator: The underlying Gaussian.
gaussian - Variable in class gov.sandia.cognition.statistics.distribution.MultivariateGaussianInverseGammaDistribution: Gaussian component
gaussian - Variable in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution: Generates the mean, given the covariance from the inverseWishart.
GaussianCluster - Class in gov.sandia.cognition.learning.algorithm.clustering.cluster: The GaussianCluster class implements a cluster of Vector objects that has a MultivariateGaussian object representing the cluster.
GaussianCluster() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianCluster: Creates a new instance of GaussianCluster.
GaussianCluster(MultivariateGaussian.PDF) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianCluster: Creates a new instance of GaussianCluster.
GaussianCluster(Collection<? extends Vector>, MultivariateGaussian.PDF) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianCluster: Creates a new instance of GaussianCluster.
GaussianCluster(int, Collection<? extends Vector>, MultivariateGaussian.PDF) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianCluster: Creates a new instance of GaussianCluster.
GaussianClusterCreator - Class in gov.sandia.cognition.learning.algorithm.clustering.cluster: The GaussianClusterCreator class implements a ClusterCreator for creating GaussianClusters by fitting a MultivariateGaussian to the given set of example vectors.
GaussianClusterCreator() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianClusterCreator: Default constructor
GaussianClusterCreator(double) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianClusterCreator: Creates a new instance of GaussianClusterCreator
GaussianClusterDivergenceFunction - Class in gov.sandia.cognition.learning.algorithm.clustering.divergence: The GaussianClusterDivergenceFunction class implements a divergence function between a Gaussian cluster and a vector, which is calculated by finding the likelihood that the vector was generated from that Gaussian and then returning the negative of the likelihood since it is a divergence measure, not a similarity measure.
GaussianClusterDivergenceFunction() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.divergence.GaussianClusterDivergenceFunction: Creates a new instance of GaussianClusterDivergenceFunction.
GaussianConfidence - Class in gov.sandia.cognition.statistics.method: This test is sometimes called the "Z test" Defines a range of values that the statistic can take, as well as the confidence that the statistic is between the lower and upper bounds.
GaussianConfidence() - Constructor for class gov.sandia.cognition.statistics.method.GaussianConfidence: Creates a new instance of GaussianConfidence
GaussianConfidence.Statistic - Class in gov.sandia.cognition.statistics.method: Confidence statistics for a Gaussian distribution
GaussianContextRecognizer - Class in gov.sandia.cognition.learning.function.vector: Uses a MixtureOfGaussians to compute the probability of the different constituent MultivariateGaussians (that is, the contexts)
GaussianContextRecognizer() - Constructor for class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer: Creates a new instance of GaussianContextRecognizer
GaussianContextRecognizer(MixtureOfGaussians.PDF) - Constructor for class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer: Creates a new instance of GaussianContextRecognizer
GaussianContextRecognizer(Collection<GaussianCluster>) - Constructor for class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer: Creates a new instance of GaussianContextRecognizer
GaussianContextRecognizer(GaussianContextRecognizer) - Constructor for class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer: Copy constructor
GaussianContextRecognizer.Learner - Class in gov.sandia.cognition.learning.function.vector: Creates a GaussianContextRecognizer from a Dataset[Vector] using a BatchClusterer
GaussianProcessRegression<InputType> - Class in gov.sandia.cognition.statistics.bayesian: Gaussian Process Regression, is also known as Kriging, is a nonparametric method to interpolate and extrapolate using Bayesian regression, where the expressiveness of the estimator can grow with the data.
GaussianProcessRegression() - Constructor for class gov.sandia.cognition.statistics.bayesian.GaussianProcessRegression: Creates a new instance of GaussianProcessRegression
GaussianProcessRegression(Kernel<InputType>, double) - Constructor for class gov.sandia.cognition.statistics.bayesian.GaussianProcessRegression: Creates a new instance of GaussianProcessRegression
GaussianProcessRegression.PredictiveDistribution - Class in gov.sandia.cognition.statistics.bayesian: Predictive distribution for Gaussian Process Regression.
GaussNewtonAlgorithm - Class in gov.sandia.cognition.learning.algorithm.regression: Implementation of the Gauss-Newton parameter-estimation procedure.
GaussNewtonAlgorithm() - Constructor for class gov.sandia.cognition.learning.algorithm.regression.GaussNewtonAlgorithm: Creates a new instance of GaussNewtonAlgorithm
GaussNewtonAlgorithm(LineMinimizer<?>) - Constructor for class gov.sandia.cognition.learning.algorithm.regression.GaussNewtonAlgorithm: Creates a new instance of GaussNewtonAlgorithm
GaussNewtonAlgorithm(LineMinimizer<?>, int, double) - Constructor for class gov.sandia.cognition.learning.algorithm.regression.GaussNewtonAlgorithm: Creates a new instance of GaussNewtonAlgorithm
GeneralizedHebbianAlgorithm - Class in gov.sandia.cognition.learning.algorithm.pca: Implementation of the Generalized Hebbian Algorithm, also known as Sanger's Rule, which is a generalization of Oja's Rule.
GeneralizedHebbianAlgorithm(int, double, int, double) - Constructor for class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm: Creates a new instance of GeneralizedHebbianAlgorithm
GeneralizedLinearModel - Class in gov.sandia.cognition.learning.function.vector: A VectorizableVectorFunction that is a matrix multiply followed by a VectorFunction...
GeneralizedLinearModel() - Constructor for class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Default constructor.
GeneralizedLinearModel(int, int, UnivariateScalarFunction) - Constructor for class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Creates a new instance of GeneralizedLinearModel
GeneralizedLinearModel(MultivariateDiscriminant, VectorFunction) - Constructor for class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Creates a new instance of GeneralizedLinearModel
GeneralizedLinearModel(GeneralizedLinearModel) - Constructor for class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Creates a new instance of GeneralizedLinearModel
GeneralizedLinearModel(MultivariateDiscriminant, UnivariateScalarFunction) - Constructor for class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Creates a new instance of GeneralizedLinearModel
GeneticAlgorithm<CostParametersType,GenomeType> - Class in gov.sandia.cognition.learning.algorithm.genetic: The GeneticAlgorithm class implements a generic genetic algorithm that uses a given cost function to minimize and a given reproduction function for generating the population.
GeneticAlgorithm(Collection<GenomeType>, Reproducer<GenomeType>, CostFunction<? super GenomeType, ? super CostParametersType>) - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Creates a new instance of GeneticAlgorithm.
GeneticAlgorithm(Collection<GenomeType>, Reproducer<GenomeType>, CostFunction<? super GenomeType, ? super CostParametersType>, int) - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Creates a new instance of GeneticAlgorithm.
GeneticAlgorithm(Collection<GenomeType>, Reproducer<GenomeType>, CostFunction<? super GenomeType, ? super CostParametersType>, int, int) - Constructor for class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Creates a new instance of GeneticAlgorithm.
GeometricDistribution - Class in gov.sandia.cognition.statistics.distribution: The geometric distribution models the number of successes before the first failure occurs under an independent succession of Bernoulli tests.
GeometricDistribution() - Constructor for class gov.sandia.cognition.statistics.distribution.GeometricDistribution: Creates a new instance of GeometricDistribution
GeometricDistribution(double) - Constructor for class gov.sandia.cognition.statistics.distribution.GeometricDistribution: Creates a new instance of GeometricDistribution
GeometricDistribution(GeometricDistribution) - Constructor for class gov.sandia.cognition.statistics.distribution.GeometricDistribution: Copy constructor
GeometricDistribution.CDF - Class in gov.sandia.cognition.statistics.distribution: CDF of the Geometric distribution
GeometricDistribution.MaximumLikelihoodEstimator - Class in gov.sandia.cognition.statistics.distribution: Maximum likelihood estimator of the distribution
GeometricDistribution.PMF - Class in gov.sandia.cognition.statistics.distribution: PMF of the Geometric distribution
get(KeyType) - Method in class gov.sandia.cognition.collection.AbstractLogNumberMap
get(KeyType) - Method in class gov.sandia.cognition.collection.AbstractMutableDoubleMap
get(int) - Method in class gov.sandia.cognition.collection.DoubleArrayList: Returns the element at idx
get(Object) - Method in class gov.sandia.cognition.collection.DynamicArrayMap: Runs in O(1).
get(int) - Method in class gov.sandia.cognition.collection.DynamicArrayMap: Gets the value for the given key.
get(int) - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer
get(int) - Method in class gov.sandia.cognition.collection.IntArrayList: Returns the element at idx
get(int) - Method in class gov.sandia.cognition.collection.RangeExcludedArrayList
get(KeyType) - Method in interface gov.sandia.cognition.collection.ScalarMap: Gets the value associated with a given key.
get(Class<T>) - Static method in class gov.sandia.cognition.factory.DefaultFactory: Gets a new DefaultFactory for the given class.
get(int) - Method in class gov.sandia.cognition.learning.function.categorization.DefaultKernelBinaryCategorizer: Gets the i-th example.
get(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
get(int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
get(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
get(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Gets the value of the element of the matrix at the zero-based row and column indices.
get(int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
get(int, int) - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the value of the element of the matrix at the zero-based row and column indices.
get(int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix
get(int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJVector
get(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
get(int) - Method in interface gov.sandia.cognition.math.matrix.Vector: Gets the value of element of the vector at the zero-based index.
getA() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem: Getter for A.
getAccessedDateField() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getAccessedDateField() - Method in interface gov.sandia.cognition.text.document.Document: Gets the commonly-used accessed date field.
getAccuracy() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getAccuracy() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The accuracy value of the entire confusion matrix.
getActivation() - Method in interface gov.sandia.cognition.framework.Cogxel: Gets the current activation level of the Cogxel
getActivation() - Method in class gov.sandia.cognition.framework.DefaultCogxel: Gets the current activation level of the Cogxel
getActualCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getActualCategories() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the set of all the actual categories.
getActualCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getActualCommand() - Method in class gov.sandia.cognition.io.ProcessLauncher: Getter for actualCommand
getActualCount(Boolean) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getActualCount(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getActualCount(CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the total number of entries for the given actual category.
getActualCount(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getAdjustedAlpha(int, int) - Method in class gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison.Statistic: Gets the adjusted alpha (p-value threshold) for the given comparison
getAdjustedAlpha() - Method in class gov.sandia.cognition.statistics.method.AdjustedPValueStatistic: Getter for adjustedAlpha
getAdjustedAlpha(int, int) - Method in class gov.sandia.cognition.statistics.method.AdjustedPValueStatistic
getAdjustedAlpha(int, int) - Method in class gov.sandia.cognition.statistics.method.HolmCorrection.Statistic
getAdjustedAlpha(int, int) - Method in class gov.sandia.cognition.statistics.method.ShafferStaticCorrection.Statistic
getAggressiveness() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlinePassiveAggressivePerceptron.AbstractSoftMargin: Gets the aggressiveness parameter (C), which is the trade-off between aggressive updating to meet an incorrect example and keeping history around.
getAlgorithm() - Method in class gov.sandia.cognition.algorithm.AnytimeAlgorithmWrapper: Gets the underlying wrapped algorithm.
getAllFields(Class<?>) - Static method in class gov.sandia.cognition.util.ObjectUtil: Returns a list of all of the fields on the given class and any super-class.
getAllFieldValues(Object) - Static method in class gov.sandia.cognition.util.ObjectUtil: Returns an ArrayList of field/value pairs
getAllLabels() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the collection of all the labels used in the recognizer.
getAllLabels() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the collection of all the labels used in the recognizer.
getAllMembers() - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getAllMembers() - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Returns all nodes stored within this partitioning
getAllowedTerms() - Method in class gov.sandia.cognition.text.term.filter.DictionaryFilter: Gets the set of allowed terms.
getAllRelations(ObjectType, ObjectType) - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets all the relation between the source and the target.
getAllRelations(IndexedTerm, IndexedTerm) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getAlpha() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.Sample: Getter for alpha
getAlpha() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution: Getter for alpha
getAlpha() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess: Getter for alpha.
getAlpha() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment: Getter for alpha
getAlpha() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the alpha parameter controlling the Dirichlet distribution for the document-topic probabilities.
getAlphabet() - Method in class gov.sandia.cognition.text.spelling.SimpleStatisticalSpellingCorrector: Gets the alphabet of lower-case characters that can be used for replaces and inserts.
getAlphabet() - Method in class gov.sandia.cognition.text.spelling.SimpleStatisticalSpellingCorrector.Learner: Gets the alphabet of lower-case characters that can be used for replaces and inserts.
getAmiMax() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the max adjusted-for-chance mutual information (see Table 2 of cited paper)
getAmiMin() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the min adjusted-for-chance mutual information (see Table 2 of cited paper)
getAmiSqrt() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the sqrt adjusted-for-chance mutual information (see Table 2 of cited paper)
getAmiSum() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the sum adjusted-for-chance mutual information (see Table 2 of cited paper)
getAmplitude() - Method in class gov.sandia.cognition.learning.function.scalar.CosineFunction: Getter for amplitude
getAreaUnderCurve() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.Statistic: Getter for areaUnderCurve
getArray() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix: Gets the underlying double array from the MTJ matrix
getArray() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector: Returns the underlying double array for this DenseVector
getArrayLen() - Method in class gov.sandia.cognition.util.DoubleReuseRandom: Gets the length of the array of doubles
getAssignmentChanged() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.EMLearner: Gets the total assignment change from the last completed step of the algorithm.
getAssignments() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the assignments of examples to exemplars (clusters).
getAssignments() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Getter for assignments
getAssociatedMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.custom.CustomDenseVectorFactory
getAssociatedMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.custom.CustomSparseVectorFactory
getAssociatedMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVectorFactoryMTJ
getAssociatedMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVectorFactoryMTJ
getAssociatedMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.VectorFactory: Gets the matrix factory implementation associated with this vector factory.
getAssociation(SemanticLabel, SemanticLabel) - Method in class gov.sandia.cognition.framework.DefaultSemanticNetwork: Gets the association between two nodes in the network.
getAssociation(SemanticLabel, SemanticLabel) - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the association between two nodes in the network.
getAssociation(SemanticLabel, SemanticLabel) - Method in interface gov.sandia.cognition.framework.SemanticNetwork: Gets the association between two nodes in the network.
getAuthorField() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getAuthorField() - Method in interface gov.sandia.cognition.text.document.Document: Gets the commonly-used author field.
getAutoRegressiveCoefficients() - Method in class gov.sandia.cognition.math.signals.AutoRegressiveMovingAverageFilter: Getter for autoregressiveCoefficients
getAvailabilities() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the availability values.
getAverageCategoryAccuracy() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getAverageCategoryAccuracy() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The average accuracy value for the categories in the confusion matrix.
getAverageCategoryErrorRate() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getAverageCategoryErrorRate() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The average error rate for the actual categories in the confusion matrix.
getAverager() - Method in class gov.sandia.cognition.learning.algorithm.nearest.AbstractKNearestNeighbor: Getter for averager
getAverager() - Method in interface gov.sandia.cognition.learning.algorithm.nearest.KNearestNeighbor: Getter for averager.
getB() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem: Getter for B.
getBag() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the most recently created bag.
getBaseHandler() - Method in class gov.sandia.cognition.io.serialization.GZIPSerializationHandler: Gets the base handler whose output is serialized.
getBasisFunctions() - Method in class gov.sandia.cognition.learning.function.LinearCombinationFunction: Getter for basisFunctions
getBasisFunctions() - Method in class gov.sandia.cognition.learning.function.vector.ScalarBasisSet: Getter for basisFunctions
getBelief(int, int) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunctionSolver: Gets the belief for node i with the specified label.
getBelief(int, int) - Method in class gov.sandia.cognition.graph.inference.SumProductInferencingAlgorithm
getBeliefs(NodeNameType, EnergyFunctionSolver<LabelType>) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getBeliefs(NodeNameType, EnergyFunctionSolver<LabelType>) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getBeliefs(NodeNameType, EnergyFunctionSolver<LabelType>) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getBeliefs(NodeNameType, EnergyFunctionSolver<LabelType>) - Method in interface gov.sandia.cognition.graph.inference.NodeNameAwareEnergyFunction: Get the probabilities for each label for the input node as produced by the input belief propagation run.
getBestSoFar() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the best state found so far.
getBestSoFar() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the best genome found so far.
getBestSoFarScore() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the score for the best state found so far.
getBeta() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution: Getter for beta
getBeta() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the beta parameter controlling the Dirichlet distribution for the topic-term probabilities.
getBias() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdditiveEnsemble: Gets the initial offset value (bias) to which the output of the ensemble members are added when computing a result.
getBias() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.WeightedAdditiveEnsemble: Gets the initial offset value (bias) to which the output of the ensemble members are added when computing a result.
getBias() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine: Gets the bias value.
getBias() - Method in class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer: Gets the bias term.
getBias() - Method in class gov.sandia.cognition.learning.function.categorization.LinearBinaryCategorizer: Gets the bias term.
getBias() - Method in class gov.sandia.cognition.learning.function.scalar.KernelScalarFunction: Gets the bias term.
getBias() - Method in class gov.sandia.cognition.learning.function.scalar.LinearDiscriminantWithBias: Getter for bias.
getBias() - Method in class gov.sandia.cognition.learning.function.scalar.LinearVectorScalarFunction: Gets the bias term.
getBias() - Method in class gov.sandia.cognition.learning.function.vector.MultivariateDiscriminantWithBias: Getter for bias
getBiasRegularization() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner: Gets the value for the parameter controlling the bias regularization.
getBinCount() - Method in class gov.sandia.cognition.statistics.distribution.DataCountTreeSetBinnedMapHistogram: Gets the total number of bins.
getBinCount() - Method in interface gov.sandia.cognition.statistics.method.Binner: Gets the total number of bins.
getBinCount() - Method in class gov.sandia.cognition.statistics.method.TreeSetBinner
getBinner() - Method in class gov.sandia.cognition.statistics.distribution.DataCountTreeSetBinnedMapHistogram: Gets the TreeSetBinner used to perform value binning.
getBinSet() - Method in interface gov.sandia.cognition.statistics.method.Binner: Gets the set of bins that the binner is using.
getBinSet() - Method in class gov.sandia.cognition.statistics.method.TreeSetBinner
getBlockExperimentComparison() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment: Getter for blockExperimentComparison
getBlockExperimentResult() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic: Getter for blockExperimentResult
getBodyField() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getBodyField() - Method in interface gov.sandia.cognition.text.document.Document: Gets the commonly-used body field.
getBooleanConverter() - Method in class gov.sandia.cognition.data.convert.vector.UniqueBooleanVectorEncoder: Gets the boolean converter used to encode the equality comparison between each of the unique values and a given input.
getBounds() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the bounding box of the region represented by this node.
getBracket() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.AbstractAnytimeLineMinimizer
getBracket() - Method in interface gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizer: Gets the LineBracket used to bound the search
getBracket() - Method in class gov.sandia.cognition.learning.algorithm.root.RootBracketExpander: Getter for bracket.
getBracketer() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractBracketedRootFinder: Gets the root-bracketing algorithm that will be used to initially bracket the root.
getBudget() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.AbstractOnlineBudgetedKernelBinaryCategorizerLearner: Gets the budget.
getBudget() - Method in interface gov.sandia.cognition.learning.algorithm.perceptron.kernel.BudgetedKernelBinaryCategorizerLearner: Gets the budget.
getBufferedReader() - Method in class gov.sandia.cognition.io.ReaderTokenizer: Getter for bufferedReader
getBurnInIterations() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo
getBurnInIterations() - Method in interface gov.sandia.cognition.statistics.bayesian.MarkovChainMonteCarlo: Gets the number of iterations that must transpire before the algorithm begins collection the samples.
getBurnInIterations() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets he number of burn-in iterations for the Markov Chain Monte Carlo algorithm to run before sampling begins.
getBytes(Object) - Static method in class gov.sandia.cognition.util.ObjectUtil: Attempts to convert the given Object into a byte array
getC() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem: Getter for C.
getCapacity() - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer: Gets the capacity of the buffer, which is the maximum number of elements that can be stored in it.
getCapacity() - Method in class gov.sandia.cognition.learning.function.scalar.KolmogorovSmirnovEvaluator: Getter for capacity
getCategories() - Method in class gov.sandia.cognition.learning.algorithm.bayes.DiscreteNaiveBayesCategorizer
getCategories() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer
getCategories() - Method in class gov.sandia.cognition.learning.algorithm.delta.AbstractDeltaCategorizer: Returns a set of all the known categories.
getCategories() - Method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTree: Gets the list of possible categories that the categorizer can produce.
getCategories() - Method in class gov.sandia.cognition.learning.function.categorization.AbstractBinaryCategorizer
getCategories() - Method in class gov.sandia.cognition.learning.function.categorization.AbstractCategorizer
getCategories() - Method in interface gov.sandia.cognition.learning.function.categorization.Categorizer: Gets the list of possible categories that the categorizer can produce.
getCategories() - Method in class gov.sandia.cognition.learning.function.categorization.CompositeCategorizer: Gets the set of categories, which is just the set returned by the categorizer.
getCategories() - Method in class gov.sandia.cognition.learning.function.categorization.LinearMultiCategorizer
getCategories() - Method in class gov.sandia.cognition.learning.function.categorization.MaximumAPosterioriCategorizer
getCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getCategories() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the set of all categories in the confusion matrix.
getCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getCategorizedVector() - Method in class gov.sandia.cognition.statistics.ChiSquaredSimilarity: Basic getter for the categorized vector.
getCategorizer() - Method in class gov.sandia.cognition.learning.function.categorization.CompositeCategorizer: Gets the categorizer, which takes the output of the preprocessor and categorizes it.
getCategorizers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.BinaryCategorizerSelector: Gets the collection of categorizers that the learner selects from.
getCategory(CategoryType) - Method in class gov.sandia.cognition.learning.function.categorization.MaximumAPosterioriCategorizer: Gets the prior probability weight and conditional distribution for the given category.
getCategoryAccuracy(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getCategoryAccuracy(CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The category accuracy value for the confusion matrix.
getCategoryErrorRate(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getCategoryErrorRate(CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The category error rate for the confusion matrix.
getCategoryPairsToEvaluatorMap() - Method in class gov.sandia.cognition.learning.function.categorization.BinaryVersusCategorizer: Gets the mapping of false-true category pairs to the binary categorizer that distinguishes them.
getCDF() - Method in class gov.sandia.cognition.learning.function.scalar.KolmogorovSmirnovEvaluator: Getter for cdf
getCDF() - Method in interface gov.sandia.cognition.statistics.ClosedFormUnivariateDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution.CDF
getCDF() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getCDF() - Method in interface gov.sandia.cognition.statistics.SmoothUnivariateDistribution
getCDF() - Method in interface gov.sandia.cognition.statistics.UnivariateDistribution: Gets the CDF of a scalar distribution.
getCDF() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getCentralValue() - Method in class gov.sandia.cognition.statistics.method.ConfidenceInterval: Getter for centralValue
getCentroid() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.CentroidCluster: Gets the centroid of the cluster.
getChange() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm: Gets the change in in the last completed step of the algorithm.
getChangeCount() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization: Gets the number of changes made on the last iteration of the algorithm.
getChangedCount() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the number of cluster assignments that have changed in the most recent iteration.
getChildMap() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode: Gets the mapping of decision values to child nodes.
getChildren() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.BinaryClusterHierarchyNode
getChildren() - Method in interface gov.sandia.cognition.learning.algorithm.clustering.hierarchy.ClusterHierarchyNode: Gets the children of this node.
getChildren() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.DefaultClusterHierarchyNode
getChildren() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode
getChildren() - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the collection of children of the node.
getChildren() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the children of this node.
getChildrenDivergence() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer.HierarchyNode: Gets the divergence between the two children, if they exist; otherwise, 0.0.
getChiSquare() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for chiSquare
getChiSquare() - Method in class gov.sandia.cognition.statistics.method.ChiSquareConfidence.Statistic: Gets for chiSquare
getChiSquare() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for chiSquare
getChiSquareNullHypothesisProbability() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for chiSquareNullHypothesisProbability
getClassifier() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.DataPoint: Getter for classifier
getClosestClusterIndex(DataType) - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the index of the closest cluster for the given element.
getCluster(int) - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Get the cluster at this index.
getCluster() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.AbstractClusterHierarchyNode
getCluster() - Method in interface gov.sandia.cognition.learning.algorithm.clustering.hierarchy.ClusterHierarchyNode: Gets the cluster associated with the node.
getCluster(int) - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the cluster for the given index.
getClusterCentroid(int) - Method in class gov.sandia.cognition.learning.algorithm.clustering.OptimizedKMeansClusterer: Gets the centroid for the given cluster index.
getClusterCount() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the number of clusters.
getClusterCount() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the total number of clusters created.
getClusterCounts() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Getter for clusterCounts
getClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the current clusters, which is a sparse mapping of exemplar identifier to cluster object.
getClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the current clusters, which is a sparse mapping of exemplar identifier to cluster object.
getClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Getter for clusters
getClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets all clusters created.
getClusters() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.Sample: Getter for clusters
getClustersHierarchy() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: Gets the hierarchy of clusters.
getClustersHierarchy() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the hierarchy of clusters.
getCoefficients() - Method in class gov.sandia.cognition.learning.function.LinearCombinationFunction: Getter for coefficients
getCogxel(SemanticIdentifier) - Method in interface gov.sandia.cognition.framework.CogxelState: Gets a Cogxel from the state, if it has been previously added.
getCogxel(SemanticIdentifier) - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite: Gets a Cogxel from the state, if it has been previously added.
getCogxelActivation(SemanticIdentifier) - Method in interface gov.sandia.cognition.framework.CogxelState: Gets the activation level of a Cogxel in the CogxelState.
getCogxelActivation(SemanticIdentifier) - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite: Gets the activation level of a Cogxel in the CogxelState.
getCogxelFactory() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelBooleanConverter: Gets the CogxelFactory used to create the cogxels used by the converter.
getCogxelFactory() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelDoubleConverter: Gets the CogxelFactory used to create the Cogxels used by the converter.
getCogxelFactory() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the CogxelFactory used to create the Cogxels used by the converter.
getCogxelFactory() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedPerceptionModule: Getter for cogxelFactory
getCogxelFactory() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedPerceptionModuleFactory: Gets the CogxelFactory to be used by the module.
getCogxelFactory() - Method in class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModule: Getter for cogxelFactory
getCogxelFactory() - Method in class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModuleFactory: Getter for cogxelFactory
getCogxels() - Method in interface gov.sandia.cognition.framework.CognitiveModelState: Gets the CogxelState.
getCogxels() - Method in interface gov.sandia.cognition.framework.CogxelState: Gets the Cogxels that have been previously added to this CogxelState.
getCogxels() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLiteState: Gets the CogxelState.
getCogxels() - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite: Gets the Cogxels that have been previously added to this CogxelState.
getCogxelVectorConverters() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorCollectionConverter: Getter for cogxelVectorConverters
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Gets the specified column from the zero-based index and returns a vector that corresponds to that column.
getColumn(int) - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the specified column from the zero-based index and returns a vector that corresponds to that column.
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractSparseMatrix
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getColumn(int) - Method in class gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix: Gets the specified column of the matrix, using MTJ's internal routine to speed things up
getColumnConverters() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelMatrixConverter: Getter for columnConverters
getColumnIndex() - Method in interface gov.sandia.cognition.math.matrix.MatrixEntry: Gets the column index to which the entry points
getColumnIndex() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Getter for columnIndex.
getColumnIndex() - Method in interface gov.sandia.cognition.math.matrix.TwoMatrixEntry: Gets the column index to which the entry points
getColumnInto(int, Vector) - Method in class gov.sandia.cognition.math.matrix.AbstractMatrix: Internal function that writes the column onto the destinationVector.
getCommunityForNode(NodeNameType, int, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Computes the best community for the input node id by personalized page rank scores and conductance of cut.
getCommunityForNodeAtLevel(NodeNameType, int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy: Returns the community ID for the input node at the input level
getCommunityForNodeAtLevelById(int, int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getCommunityForNodeById(int, int, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Computes the best community for the input node id by personalized page rank scores and conductance of cut.
getCommunityForNodes(List<NodeNameType>, int, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Computes the best community for the input node id by personalized page rank scores and conductance of cut.
getCommunityForNodesById(List<Integer>, int, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Computes the best community for the input node id by personalized page rank scores and conductance of cut.
getComponentCount() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis.Function: Gets the number of components in the analysis result.
getComponentCount() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis: Gets the number of components the analysis attempts to find.
getComponents() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis.Function: Gets the matrix of components from the analysis.
getConditionalDistribution() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractBayesianParameter: Getter for conditionalDistribution
getConditionalDistribution() - Method in class gov.sandia.cognition.statistics.DefaultDistributionParameter
getConditionalDistribution() - Method in interface gov.sandia.cognition.statistics.DistributionParameter: Gets the conditional distribution associated with the parameter.
getConditionalEntropyUGivenV() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns H(u|v), computing and storing it if this is the first time called
getConditionalEntropyVGivenU() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns H(v|u), computing and storing it if this is the first time called
getConditionalLearner() - Method in class gov.sandia.cognition.learning.function.categorization.MaximumAPosterioriCategorizer.Learner: Getter for conditionalLearner
getConditionalProbability(int, InputType, CategoryType) - Method in class gov.sandia.cognition.learning.algorithm.bayes.DiscreteNaiveBayesCategorizer: Gets the conditional probability for the given input and category.
getConditionals() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer: Gets the conditional distributions, which is a mapping of category to the list of probability density functions, one for each dimension of the vector.
getConfidence() - Method in class gov.sandia.cognition.learning.algorithm.confidence.ConfidenceWeightedDiagonalDeviation: Gets the confidence to use for updating.
getConfidence() - Method in class gov.sandia.cognition.learning.algorithm.confidence.ConfidenceWeightedDiagonalVariance: Gets the confidence to use for updating.
getConfidence() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the confidence statistic that the two learners are different.
getConfidence() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment.Result: Gets the confidence statistic for the learners.
getConfidence() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval: Getter for confidence
getConfidence() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval.Summary: Gets the confidence for created the interval.
getConfidence() - Method in class gov.sandia.cognition.statistics.method.ConfidenceInterval: Getter for confidence
getConfidence() - Method in class gov.sandia.cognition.statistics.method.StudentTConfidence.Summary: Gets the confidence for created the interval.
getConfidenceLower() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for confidenceLower
getConfidenceUpper() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for confidenceUpper
getConfusionMatrix() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.DataPoint: Getter for confusionMatrix
getConjuctive() - Method in class gov.sandia.cognition.statistics.bayesian.ImportanceSampling.DefaultUpdater: Getter for conjunctive
getConjuctive() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling.DefaultUpdater: Getter for conjunctive
getConstant() - Method in class gov.sandia.cognition.learning.function.kernel.PolynomialKernel: Gets the constant of the polynomial.
getConstant() - Method in class gov.sandia.cognition.learning.function.kernel.SigmoidKernel: Gets the constant inside of the sigmoid kernel.
getConstantValue() - Method in class gov.sandia.cognition.learning.function.scalar.LocallyWeightedKernelScalarFunction: Gets the constant value.
getConstantWeight() - Method in class gov.sandia.cognition.learning.function.scalar.LocallyWeightedKernelScalarFunction: Gets the constant weight.
getConstructor() - Method in class gov.sandia.cognition.factory.ConstructorBasedFactory: Gets the constructor used to create new objects.
getConverter() - Method in class gov.sandia.cognition.data.convert.vector.NumberConverterToVectorAdapter: Gets the number converter being adapted to work with vectors.
getConverter() - Method in class gov.sandia.cognition.text.convert.SingleToMultiTextualConverterAdapter: Gets the internal single textual converter being wrapped.
getConvexHull() - Method in class gov.sandia.cognition.statistics.method.ConvexReceiverOperatingCharacteristic: Getter for convexHull
getCoolingFactor() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the cooling factor.
getCost() - Method in class gov.sandia.cognition.learning.algorithm.genetic.EvaluatedGenome: Gets the cost of the genome.
getCostFunction() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer
getCostFunction() - Method in interface gov.sandia.cognition.learning.algorithm.BatchCostMinimizationLearner: Gets the cost function that the learner is minimizing.
getCostFunction() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm
getCostFunction() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractMinimizerBasedParameterCostMinimizer
getCostFunction() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer
getCostFunction() - Method in class gov.sandia.cognition.learning.function.cost.ParallelizedCostFunctionContainer: Getter for costFunction
getCostParameters() - Method in class gov.sandia.cognition.learning.function.cost.AbstractCostFunction
getCostParameters() - Method in class gov.sandia.cognition.learning.function.cost.AbstractSupervisedCostFunction
getCostParameters() - Method in class gov.sandia.cognition.learning.function.cost.ClusterDistortionMeasure
getCostParameters() - Method in interface gov.sandia.cognition.learning.function.cost.CostFunction: Gets the parameters of the cost function.
getCostParameters() - Method in class gov.sandia.cognition.learning.function.cost.EuclideanDistanceCostFunction
getCount(Boolean, Boolean) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getCount(CategoryType, CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the entry in the matrix for the given actual and predicted categories, which is the count of the number of times the predicted category was given for the given actual category.
getCount(CategoryType, CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getCount() - Method in class gov.sandia.cognition.math.RingAccumulator: Gets the number of items that have been added to the accumulator.
getCount() - Method in class gov.sandia.cognition.statistics.AbstractSufficientStatistic
getCount() - Method in interface gov.sandia.cognition.statistics.SufficientStatistic: Gets the count
getCount(Term) - Method in class gov.sandia.cognition.text.term.DefaultTermCounts
getCount(Term) - Method in interface gov.sandia.cognition.text.term.TermCounts: Get the count for a given term.
getCounterFactory() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the factory used for creating the object for counting the votes of the learned ensemble members.
getCovariance() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator: Gets the covariance.
getCovariance() - Method in interface gov.sandia.cognition.learning.function.categorization.ConfidenceWeightedBinaryCategorizer: Gets the covariance matrix of the categorizer.
getCovariance() - Method in class gov.sandia.cognition.learning.function.categorization.DefaultConfidenceWeightedBinaryCategorizer
getCovariance() - Method in class gov.sandia.cognition.learning.function.categorization.DiagonalConfidenceWeightedBinaryCategorizer
getCovariance() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian: Gets the covariance matrix of the Gaussian.
getCovariance() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatistic: Gets the covariance of the Gaussian.
getCovariance() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution: Computes the covariance of the distribution, which involves inverting the precision matrix.
getCovarianceDivisor() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution: Getter for covarianceDivisor
getCovarianceInverse() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression.IncrementalEstimator.SufficientStatistic: Getter for covarianceInverse
getCovarianceInverse() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Getter for covarianceInverse
getCovarianceInverse() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian: Gets the inverse of the covariance matrix.
getCovarianceInverse() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatisticCovarianceInverse: Gets the covariance Inverse of the Gaussian.
getCovarianceInverseSquareRoot() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator: Gets the square root of the inverse of the covariance matrix.
getCovarianceSqrt() - Method in class gov.sandia.cognition.learning.algorithm.annealing.VectorizablePerturber: Gets the covariance square root matrix.
getCreatedClass() - Method in class gov.sandia.cognition.factory.DefaultFactory: Gets the class whose default constructor is used to create new objects.
getCreator() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: Gets the cluster creator.
getCreator() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the cluster creator.
getCreator() - Method in class gov.sandia.cognition.learning.algorithm.clustering.initializer.AbstractMinDistanceFixedClusterInitializer: Gets the cluster creator used to create the initial clusters.
getCreator() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the cluster creator.
getCreator() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the cluster creator.
getCrossoverFunction() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.CrossoverReproducer: Gets the CrossoverFunction.
getCurrent() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the current state of the system.
getCurrentEnsembleCorrect() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets whether or not the current ensemble gets each example correct.
getCurrentInput() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractKalmanFilter: Getter for currentInput
getCurrentLine() - Method in class gov.sandia.cognition.io.ProcessLauncherEvent: Getter for currentLine
getCurrentParameter() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo
getCurrentParameter() - Method in interface gov.sandia.cognition.statistics.bayesian.MarkovChainMonteCarlo: Gets the current parameters in the random walk.
getCurrentScore() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the score of the current state.
getCurrentState() - Method in interface gov.sandia.cognition.framework.CognitiveModel: Gets the current state of the model.
getCurrentState() - Method in class gov.sandia.cognition.framework.lite.AbstractCognitiveModelLite: Gets the current state of the model.
getCurvatureCondition() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.WolfeConditions: Getter for curvatureCondition
getD() - Method in class gov.sandia.cognition.statistics.method.KolmogorovSmirnovConfidence.Statistic: Setter for D
getDampingFactor() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the damping factor.
getDampingFactor() - Method in class gov.sandia.cognition.learning.algorithm.regression.LevenbergMarquardtEstimation: Getter for dampingFactor
getDampingFactorDivisor() - Method in class gov.sandia.cognition.learning.algorithm.regression.FletcherXuHybridEstimation: Getter for dampingFactorDivisor
getDampingFactorDivisor() - Method in class gov.sandia.cognition.learning.algorithm.regression.LevenbergMarquardtEstimation: Getter for dampingFactorDivisor
getData() - Method in class gov.sandia.cognition.learning.algorithm.AbstractAnytimeBatchLearner
getData() - Method in interface gov.sandia.cognition.learning.algorithm.AnytimeBatchLearner: Gets the data to use for learning.
getData() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DirichletProcessClustering
getData() - Method in class gov.sandia.cognition.learning.algorithm.clustering.MiniBatchKMeansClusterer
getData() - Method in class gov.sandia.cognition.learning.algorithm.nearest.KNearestNeighborExhaustive
getData() - Method in class gov.sandia.cognition.learning.algorithm.nearest.KNearestNeighborKDTree: Getter for data
getData() - Method in interface gov.sandia.cognition.learning.algorithm.nearest.NearestNeighbor: Gets the data from which this computes the nearest neighbors.
getData() - Method in class gov.sandia.cognition.learning.algorithm.nearest.NearestNeighborExhaustive
getData() - Method in class gov.sandia.cognition.learning.algorithm.nearest.NearestNeighborKDTree: Getter for data
getData() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis.Function: Gets the data that was used in the analysis.
getData() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer.Learner
getData() - Method in interface gov.sandia.cognition.text.OccurrenceInText: Gets the data that occurred in the text.
getData() - Method in class gov.sandia.cognition.text.term.DefaultTermOccurrence
getData() - Method in class gov.sandia.cognition.text.token.DefaultToken
getDataFullEstimates() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the current estimates for each data point.
getDataInBag() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the array of counts of the number of samples of each example in the current bag.
getDataInBag() - Method in interface gov.sandia.cognition.learning.algorithm.ensemble.BagBasedCategorizerEnsembleLearner: Gets the counter for each example indicating how many times it exists in the current bag.
getDataInBag() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.BaggingCategorizerLearner
getDataInBag() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner
getDataList() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the data the learner is using as an array list.
getDataOutOfBagEstimates() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the current out-of-bag estimates for each data point.
getDate() - Method in class gov.sandia.cognition.text.document.DefaultDateField: Gets the date stored in the field.
getDaysPart() - Method in class gov.sandia.cognition.time.DefaultDuration
getDaysPart() - Method in interface gov.sandia.cognition.time.Duration: Gets the standard minutes part of the time.
getDecider() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode: Gets the decider used at this node.
getDeciderLearner() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeLearner: Gets the learner for the decision function.
getDefault() - Static method in class gov.sandia.cognition.io.serialization.XStreamSerializationHandler: Gets the default instance XStreamSerializationHandler.
getDefault() - Static method in class gov.sandia.cognition.math.matrix.MatrixFactory: Gets the default implementation of MatrixFactory.
getDefault() - Static method in class gov.sandia.cognition.math.matrix.SparseVectorFactory: Gets the default instance.
getDefault() - Static method in class gov.sandia.cognition.math.matrix.VectorFactory: Gets the default implementation of the VectorFactory.
getDefaultCovariance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianClusterCreator: Getter for defaultCovariance
getDefaultCovariance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.initializer.NeighborhoodGaussianClusterInitializer: Getter for defaultCovariance
getDefaultCovariance() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator.DiagonalCovarianceLearner: Gets the default covariance value.
getDefaultCovariance() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator.FullCovarianceLearner: Gets the default covariance value.
getDefaultCovariance() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.IncrementalEstimator: Getter for defaultCovariance
getDefaultCovariance() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatistic: Getter for defaultCovariance
getDefaultCovarianceInverse() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.IncrementalEstimatorCovarianceInverse: Getter for defaultCovarianceInverse
getDefaultCovarianceInverse() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatisticCovarianceInverse: Getter for defaultCovarianceInverse
getDefaultNumThreads() - Static method in class gov.sandia.cognition.algorithm.ParallelUtil: Gets the current default number of threads to use when called using the default createThreadPool() method
getDefaultSeed() - Method in class gov.sandia.cognition.hash.Eva32Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.Eva64Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.FNV1a32Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.FNV1a64Hash
getDefaultSeed() - Method in interface gov.sandia.cognition.hash.HashFunction: Gets the default seed for the hash function
getDefaultSeed() - Method in class gov.sandia.cognition.hash.MD5Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.Murmur32Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.Prime32Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.Prime64Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.SHA1Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.SHA256Hash
getDefaultSeed() - Method in class gov.sandia.cognition.hash.SHA512Hash
getDefaultVariance() - Method in class gov.sandia.cognition.learning.algorithm.confidence.ConfidenceWeightedDiagonalDeviation: Gets the default variance, which the diagonal of the covariance matrix is initialized to.
getDefaultVariance() - Method in class gov.sandia.cognition.learning.algorithm.confidence.ConfidenceWeightedDiagonalVariance: Gets the default variance, which the diagonal of the covariance matrix is initialized to.
getDefaultVariance() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.IncrementalEstimator: Gets the default variance, which is the amount added to the variance.
getDefaultVariance() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.MaximumLikelihoodEstimator: Gets the default variance, which is the amount added to the variance.
getDegree() - Method in class gov.sandia.cognition.learning.function.kernel.PolynomialKernel: Gets the degree of the polynomial.
getDegreesOfFreedom() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution: Getter for degrees of freedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.method.ChiSquareConfidence.Statistic: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for degreesOfFreedom
getDegreesOfFreedom() - Method in class gov.sandia.cognition.statistics.method.StudentTConfidence.Statistic: Getter for degreesOfFreedom
getDelaySamples() - Method in class gov.sandia.cognition.learning.data.feature.DelayFunction: Getter for delaySamples
getDelta() - Method in class gov.sandia.cognition.math.matrix.NumericalDifferentiator: Getter for delta
getDeltaSize() - Method in class gov.sandia.cognition.learning.algorithm.gradient.GradientDescendableApproximator: Getter for deltaSize
getDenseDefault() - Static method in class gov.sandia.cognition.math.matrix.MatrixFactory: Gets the default implementation of MatrixFactory for dense matrices.
getDenseDefault() - Static method in class gov.sandia.cognition.math.matrix.VectorFactory: Gets the default implementation of VectorFactory for dense vectors.
getDepth() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode
getDepth() - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the depth of the node in the tree.
getDepth() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: The depth in the tree that this node exists at.
getDerivative() - Method in interface gov.sandia.cognition.math.ClosedFormDifferentiableEvaluator: Gets the closed-form derivative of the function.
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.CDF
getDerivative() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution.CDF
getDerivative() - Method in interface gov.sandia.cognition.statistics.SmoothCumulativeDistributionFunction
getDerivativeGain() - Method in class gov.sandia.cognition.math.signals.PIDController: Getter for derivativeGain
getDFbetween() - Method in class gov.sandia.cognition.statistics.method.AnalysisOfVarianceOneWay.Statistic: Getter for DFbetween
getDFwithin() - Method in class gov.sandia.cognition.statistics.method.AnalysisOfVarianceOneWay.Statistic: Getter for DFwithin
getDiagonal() - Method in interface gov.sandia.cognition.math.matrix.DiagonalMatrix: Gets the data along the diagonal
getDiagonal() - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ: Gets the data along the diagonal
getDiagonalDefault() - Static method in class gov.sandia.cognition.math.matrix.MatrixFactory: Gets the default implementation of MatrixFactory for diagonal matrices.
getDiameter() - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the diameter for this graph.
getDimensionality() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the dimensionality of the Vector created by the converter.
getDimensionality(Iterable<? extends Vectorizable>) - Static method in class gov.sandia.cognition.learning.data.DatasetUtil: Gets the dimensionality of the vectors in given set of data.
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getDimensionality() - Method in interface gov.sandia.cognition.math.matrix.DiagonalMatrix: Gets the dimensionality of this square matrix, which is equal to either the number of rows or the number of columns
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJVector
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector1
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector2
getDimensionality() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getDimensionality() - Method in interface gov.sandia.cognition.math.matrix.Vector: Returns the number of elements in the Vector
getDimensionality() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression.IncrementalEstimator.SufficientStatistic: Gets the dimensionality of the underlying Gaussian
getDimensionality() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Gets the dimensionality of the underlying Gaussian
getDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.PDF: Gets the dimensionality of the MultivariateGaussian in the mixture
getDimensionality() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.DominanceGlobalTermWeighter
getDimensionality() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.EntropyGlobalTermWeighter
getDimensionality() - Method in interface gov.sandia.cognition.text.term.vector.weighter.global.GlobalTermWeighter: Gets the dimensionality of the global weights.
getDimensionality() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.InverseDocumentFrequencyGlobalTermWeighter
getDimensionReducer() - Method in class gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysisFunction: Getter for dimensionReducer
getDimensionsToConsider() - Method in interface gov.sandia.cognition.learning.algorithm.DimensionFilterableLearner: Gets the dimensions that the learner is to consider.
getDimensionsToConsider() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractVectorThresholdMaximumGainLearner
getDimensionsToConsider() - Method in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner
getDimensionsToConsider() - Method in class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdVarianceLearner
getDirection() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.DirectionalVectorToScalarFunction: Getter for direction
getDiscriminant() - Method in class gov.sandia.cognition.learning.data.DefaultValueDiscriminantPair
getDiscriminant() - Method in class gov.sandia.cognition.learning.data.DefaultWeightedValueDiscriminant
getDiscriminant() - Method in interface gov.sandia.cognition.learning.data.ValueDiscriminantPair: Gets the discriminant for ordering instances of the same value.
getDiscriminant() - Method in class gov.sandia.cognition.learning.function.scalar.VectorFunctionLinearDiscriminant: Getter for discriminant
getDiscriminant() - Method in class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Getter for discriminant
getDiscriminant() - Method in class gov.sandia.cognition.learning.function.vector.MultivariateDiscriminant: Getter for discriminant.
getDistribution() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable: Getter for distribution
getDistributionClasses(Class<? extends DistributionType>) - Static method in class gov.sandia.cognition.statistics.method.MaximumLikelihoodDistributionEstimator: Gets the distribution classes for the given base distribution.
getDistributionCount() - Method in class gov.sandia.cognition.statistics.distribution.LinearMixtureModel: Gets the number of distributions in the model
getDistributionEstimator() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer.Learner: Gets the estimation method for the distribution of each dimension of each category.
getDistributionLearner() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer.OnlineLearner: Gets the learner used for the distribution representing each dimension.
getDistributionLearner() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm: Getter for distributionLearner
getDistributions() - Method in class gov.sandia.cognition.statistics.distribution.LinearMixtureModel: Getter for distributions
getDistributions() - Method in class gov.sandia.cognition.statistics.method.MaximumLikelihoodDistributionEstimator: Getter for distributions
getDivergence() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the divergence function used by the algorithm.
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: Gets the divergence function used in clustering.
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the divergence function used in clustering.
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the stored metric between a cluster and a point.
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.nearest.KNearestNeighborKDTree: Setter for distanceFunction
getDivergenceFunction() - Method in interface gov.sandia.cognition.learning.algorithm.nearest.NearestNeighbor: Getter for divergenceFunction
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.nearest.NearestNeighborKDTree: Setter for distanceFunction
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.function.distance.DefaultDivergenceFunctionContainer: Gets the divergence function used by this object.
getDivergenceFunction() - Method in interface gov.sandia.cognition.learning.function.distance.DivergenceFunctionContainer: Gets the divergence function used by this object.
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator
getDivergenceFunction() - Method in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator.Learner
getDocumentCount() - Method in interface gov.sandia.cognition.text.term.vector.VectorSpaceModel: Gets the number of documents that this object is using for its model
getDocumentCount() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractFrequencyBasedGlobalTermWeighter
getDocumentCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the number of documents in the dataset.
getDocumentCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the number of documents in the dataset.
getDocumentTopicProbabilities() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the topic-term probabilities, which are the often called the phi model parameters.
getDomain() - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getDomain() - Method in interface gov.sandia.cognition.statistics.DiscreteDistribution: Returns an object that allows an iteration through the domain (x-axis, independent variable) of the Distribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getDomain() - Method in class gov.sandia.cognition.statistics.KullbackLeiblerDivergence: Gets the domain of the distributions.
getDomainSize() - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getDomainSize() - Method in interface gov.sandia.cognition.statistics.DiscreteDistribution: Gets the size of the domain.
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getDomainSize() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getDominance() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.DominanceGlobalTermWeighter: Gets the dominance weight (global weight) vector for all of the terms.
getDPrime() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.Statistic: Getter for dPrime
getEdge(int) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getEdge(int) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getEdge(int) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: Returns the indices for the two endpoints in the specified path.
getEdge(int) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getEdgeEndpointIds(int) - Method in class gov.sandia.cognition.graph.DenseMemoryGraph: Helper that returns the endpoint values for the input edge id.
getEdgeEndpointIds(int) - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Return the edge endpoints (by node id) for edge id (where id [0 ...
getEdgeJaccardSimilarity(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the Jaccard Similarity for each edge of the graph.
getEdgeTriangleOtherEndpointIds(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the ids for the third nodes for all triangles this edge participates in.
getEdgeTriangleOtherEndpointNames(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the names for the third nodes for all triangles this edge participates in.
getEdgeWeight(int) - Method in interface gov.sandia.cognition.graph.DirectedWeightedNodeEdgeGraph: This returns the weight of edge id (where id is [0 ...
getEdgeWeight(int) - Method in class gov.sandia.cognition.graph.WeightedDenseMemoryGraph
getEffectiveZero() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization: Gets the effective value for zero to use in the computation to deal with numerical imprecision.
getEffectiveZero() - Method in class gov.sandia.cognition.text.term.relation.TermVectorSimilarityNetworkCreator: Gets the value to treat as zero.
getEigenValue(int) - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition: gets the indexed eigenvalue
getEigenValue(int) - Method in interface gov.sandia.cognition.math.matrix.decomposition.EigenDecomposition: Gets the complex-valued (potentially real and/or imaginary) eigenvalue specified by the index "index"
getEigenValues() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition: Getter for eigenValues
getEigenValues() - Method in interface gov.sandia.cognition.math.matrix.decomposition.EigenDecomposition: Returns the array of complex-valued eigenvalues, the eigenvalues may be sorted in descending order of the magnitude of the eigenvalue, or they may be unsorted, depending on the specific implementation used
getEigenVectorsImaginaryPart() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition: gets the imaginary part of the eienvector, where the ith eigenvector is the ith column
getEigenVectorsImaginaryPart() - Method in interface gov.sandia.cognition.math.matrix.decomposition.EigenDecomposition: Returns a matrix with the imaginary parts of the right eigenvalues of the underlying matrix
getEigenVectorsRealPart() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition: getter for eigenvectorsrealPart
getEigenVectorsRealPart() - Method in interface gov.sandia.cognition.math.matrix.decomposition.EigenDecomposition: Returns a matrix with the real parts of the right eigenvalues of the underlying matrix
getElement(Iterable<DataType>, int) - Static method in class gov.sandia.cognition.collection.CollectionUtil: Returns the indexed value into the Iterable.
getElement(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getElement(int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getElement(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix: Returns the value stored at the input locations
getElement(int, int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Gets the Matrix element at the specified zero-based indices throws ArrayIndexOutOfBoundsException if either rowIndex or columnIndex are less than 0, or greater than the number of rows (columns) minus one (0 <= index <= num-1)
getElement(int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getElement(int) - Method in interface gov.sandia.cognition.math.matrix.DiagonalMatrix: Gets the zero-based index diagonal element into the diagonal matrix
getElement(int, int) - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the Matrix element at the specified zero-based indices throws ArrayIndexOutOfBoundsException if either rowIndex or columnIndex are less than 0, or greater than the number of rows (columns) minus one (0 <= index <= num-1)
getElement(int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix
getElement(int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJVector
getElement(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getElement(int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getElement(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getElement(int) - Method in interface gov.sandia.cognition.math.matrix.Vector: Gets the zero-based indexed element from the Vector
getEmissionFunctions() - Method in class gov.sandia.cognition.learning.algorithm.hmm.HiddenMarkovModel: Getter for emissionFunctions
getEndNode(int) - Method in class gov.sandia.cognition.graph.GraphWalker: Returns the last node reached on a walk of numSteps steps starting from current node
getEndNode(NodeNameType, int) - Method in class gov.sandia.cognition.graph.GraphWalker: Returns the last node reached on a walk of numSteps steps starting from startNode
getEndNodes(NodeNameType, int, int) - Method in class gov.sandia.cognition.graph.GraphWalker: After running numTries walk of numSteps starting from startNode, this returns a map where the keys are all nodes reached at the end and the values are the number of times those nodes were reached.
getEnsemble() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the ensemble created by this learner.
getEnsemble() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdaBoost: Gets the ensemble created by this learner.
getEnsembleSize() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.OnlineBaggingCategorizerLearner: Gets the size of the ensemble to create.
getEntries() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the data that the algorithm keeps for each training instance.
getEntropy() - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getEntropy() - Method in interface gov.sandia.cognition.statistics.DataDistribution: Computes the information-theoretic entropy of the vector in bits.
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution.PMF
getEntropy() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution.PMF
getEntropy() - Method in interface gov.sandia.cognition.statistics.ProbabilityMassFunction: Gets the entropy of the values in the histogram.
getEntropy(ProbabilityMassFunction<DataType>) - Static method in class gov.sandia.cognition.statistics.ProbabilityMassFunctionUtil: Computes the information-theoretic entropy of the PMF in bits.
getEntropy() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.EntropyGlobalTermWeighter: Gets the entropy weight (global weight) vector for all of the terms.
getEntropyU() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the entropy of the u partitioning (computing and storing it if this is the first time called)
getEntropyV() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the entropy of the v partitioning (computing and storing it if this is the first time called)
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getEntryCount() - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the number of active entries in the matrix.
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix
getEntryCount() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector
getEntryCount() - Method in interface gov.sandia.cognition.math.matrix.Vector: Gets the number of active entries in the vector.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron: Gets the error count of the most recent iteration.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.Forgetron.Result: Gets the error count.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelAdatron: Gets the error count of the most recent iteration.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron: Gets the error count of the most recent iteration.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineShiftingPerceptron.LinearResult: Gets the error count.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron: Gets the error count of the most recent iteration.
getErrorCount() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression: Gets the error count of the most recent iteration.
getErrorRate() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getErrorRate() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: The error rate of the entire confusion matrix.
getErrorTolerance() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization: Gets the error tolerance for the algorithm.
getErrSum() - Method in class gov.sandia.cognition.math.signals.PIDController.State: Getter for errSum
getEstimate() - Method in class gov.sandia.cognition.learning.data.DefaultTargetEstimatePair: Gets the estimate, which is the prediction or guess.
getEstimate() - Method in interface gov.sandia.cognition.learning.data.TargetEstimatePair: Gets the estimate, which is the prediction or guess.
getEstimateConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelTargetEstimatePairConverter: Gets the converter for the estimate value.
getEstimator() - Method in interface gov.sandia.cognition.statistics.DataDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getEstimator() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getEstimator() - Method in interface gov.sandia.cognition.statistics.EstimableDistribution: Gets an estimator associated with this distribution.
getEta() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.Projectron: Gets the eta parameter that controls how many supports are allowed.
getEvaluator() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModule: Gets the underlying evaluator that is being wrapped in this module.
getEvaluator() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleSettings: Gets the evaluator to be used by the module.
getEvaluator() - Method in class gov.sandia.cognition.learning.function.categorization.EvaluatorToCategorizerAdapter: Gets the evaluator that is to be adapted to be a categorizer.
getEvaluator() - Method in class gov.sandia.cognition.learning.function.categorization.ScalarFunctionToBinaryCategorizerAdapter: Gets the scalar function that the adapter wraps.
getEvaluator() - Method in class gov.sandia.cognition.learning.function.categorization.WinnerTakeAllCategorizer: Gets the wrapped evaluator.
getEvaluator() - Method in class gov.sandia.cognition.text.term.filter.StringEvaluatorSingleTermFilter: Gets the evaluator being used as a filter.
getEvaluators() - Method in class gov.sandia.cognition.evaluator.CompositeEvaluatorList: Gets the list of evaluators that is being composed together.
getEventType() - Method in class gov.sandia.cognition.framework.SemanticIdentifierMapEvent: Gets the type of the event.
getExample(int) - Method in interface gov.sandia.cognition.learning.algorithm.ensemble.BagBasedCategorizerEnsembleLearner: Gets the training example at the given index.
getExample(int) - Method in class gov.sandia.cognition.learning.algorithm.ensemble.BaggingCategorizerLearner
getExample(int) - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner
getExampleCount() - Method in class gov.sandia.cognition.learning.function.categorization.DefaultKernelBinaryCategorizer: Returns the number of examples (supports) in the categorizer.
getExamples() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the array list of examples to cluster.
getExamples() - Method in class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer: Gets the list of weighted examples that categorizer is using.
getExamples() - Method in class gov.sandia.cognition.learning.function.scalar.KernelScalarFunction: Gets the list of weighted examples that categorizer is using.
getExpectedMutualInformation() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the approximate expected value of the mutual information for the two partitionings.
getExponent() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction: Getter for exponent
getExtension(File) - Static method in class gov.sandia.cognition.io.FileUtil: Returns the extension of the given file, which is the part of the name after the last '.'.
getExtension(String) - Static method in class gov.sandia.cognition.io.FileUtil: Returns the extension of the given filename , which is the part of the name after the last '.'.
getF() - Method in class gov.sandia.cognition.statistics.method.AnalysisOfVarianceOneWay.Statistic: Getter for F
getF() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for F.
getFactorCount() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner: Gets the number of factors.
getFactorCount() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine: Gets the number of factors in the model.
getFactorRegularization() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner: Gets the value for the parameter controlling the factor matrix regularization.
getFactors() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine: Gets the matrix of factors.
getFactory() - Method in class gov.sandia.cognition.learning.performance.categorization.ConfusionMatrixPerformanceEvaluator: Gets the factory for the confusion matrix the evaluator creates.
getFalseNegativesCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the number of false negatives.
getFalseNegativesCount() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix
getFalseNegativesFraction() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getFalseNegativesFraction() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the fraction of false negatives.
getFalseNegativesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix: Gets the rate of true targets incorrectly classified as false.
getFalseNegativesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval: Getter for falseNegativesRate
getFalsePositiveRate() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.DataPoint: Gets the falsePositiveRate associated with this datapoint
getFalsePositivesCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the number of false positives.
getFalsePositivesCount() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix
getFalsePositivesFraction() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getFalsePositivesFraction() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the fraction of false positives.
getFalsePositivesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix: Gets the rate of false targets incorrectly classified as true.
getFalsePositivesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval: Getter for falsePositivesRate
getFalseValue() - Method in class gov.sandia.cognition.data.convert.number.DefaultBooleanToNumberConverter: Gets the number that represents a falue value.
getFeatureMeans() - Method in class gov.sandia.cognition.learning.algorithm.delta.CosineDeltaCategorizer: Getter for featureMeans.
getFeatureStddev() - Method in class gov.sandia.cognition.learning.algorithm.delta.AbstractDeltaCategorizer: Getter for featureStddev
getField() - Method in class gov.sandia.cognition.statistics.method.FieldConfidenceInterval: Getter for field
getField(String) - Method in class gov.sandia.cognition.text.document.AbstractDocument
getField(String) - Method in interface gov.sandia.cognition.text.document.Document: Gets the field from the document with the given field name, if it exists.
getFieldMap() - Method in class gov.sandia.cognition.text.document.AbstractDocument: Gets the mapping of field name to the field.
getFieldName() - Method in class gov.sandia.cognition.text.convert.DocumentSingleFieldConverter: Gets the name of the field to extract.
getFieldNames() - Method in class gov.sandia.cognition.text.convert.DocumentFieldConcatenator: Gets the list of field names whose text are to be concatenated together.
getFields() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getFields() - Method in interface gov.sandia.cognition.text.document.Document: Gets the collection of the fields that make up the document.
getFieldSeparator() - Method in class gov.sandia.cognition.text.convert.DocumentFieldConcatenator: Gets the string used as a separator between field text values.
getFieldValues(Object, Collection<Field>) - Static method in class gov.sandia.cognition.util.ObjectUtil: Gets the values of the given fields for the object (can get public / protected / private field values)
getFileReference() - Method in interface gov.sandia.cognition.text.document.DocumentReference: Gets the reference to the file containing the document.
getFirst(Iterable<? extends T>) - Static method in class gov.sandia.cognition.collection.CollectionUtil: Gets the first element from an iterable.
getFirst(List<? extends T>) - Static method in class gov.sandia.cognition.collection.CollectionUtil: Gets the first element of the list.
getFirst() - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer: Returns the first element in the list.
getFirst() - Method in class gov.sandia.cognition.learning.algorithm.CompositeBatchLearnerPair
getFirst() - Method in class gov.sandia.cognition.learning.algorithm.genetic.EvaluatedGenome: The first entry in the pair is the genome.
getFirst() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression.Function
getFirst() - Method in class gov.sandia.cognition.learning.data.AbstractInputOutputPair: Gets the input, which is the first element in the pair.
getFirst() - Method in class gov.sandia.cognition.learning.data.AbstractTargetEstimatePair: Gets the target, which is the first element in the pair.
getFirst() - Method in class gov.sandia.cognition.learning.data.AbstractValueDiscriminantPair
getFirst() - Method in class gov.sandia.cognition.learning.data.DefaultWeightedValueDiscriminant
getFirst() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector2
getFirst() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getFirst() - Method in class gov.sandia.cognition.text.evaluation.DefaultPrecisionRecallPair: Gets the first element, which is the precision.
getFirst() - Method in class gov.sandia.cognition.util.DefaultKeyValuePair
getFirst() - Method in class gov.sandia.cognition.util.DefaultPair: Gets the first object.
getFirst() - Method in class gov.sandia.cognition.util.DefaultTemporalValue: Gets the first value of the pair, which is the time.
getFirst() - Method in class gov.sandia.cognition.util.DefaultTriple
getFirst() - Method in interface gov.sandia.cognition.util.Pair: Gets the first object.
getFirst() - Method in interface gov.sandia.cognition.util.Triple: Gets the first object.
getFirstChild() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.BinaryClusterHierarchyNode: Gets the first child node, if there is one.
getFirstConverter() - Method in class gov.sandia.cognition.framework.learning.converter.AbstractCogxelPairConverter: Getter for firstConverter
getFirstEdgeFrom(int) - Method in class gov.sandia.cognition.graph.DenseMemoryGraph: Helper that returns the first edge that node nodeVal (id) participates in.
getFirstInternalEntry() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: getter for firstInternalEntry
getFirstInternalEntry() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator: getter for firstInternalEntry
getFirstIterator() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: getter for firstInterator
getFirstIterator() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator: getter for firstIterator
getFirstLearner() - Method in class gov.sandia.cognition.learning.algorithm.CompositeBatchLearnerPair: Gets the first learner that is applied to the input data.
getFirstMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Getter for firstMatrix.
getFirstValue() - Method in class gov.sandia.cognition.math.matrix.DefaultTwoVectorEntry: Gets the entry value from the first underlying vector.
getFirstValue() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Gets the first value from the first underlying matrix.
getFirstValue() - Method in interface gov.sandia.cognition.math.matrix.TwoMatrixEntry: Gets the first value to which this entry points
getFirstValue() - Method in interface gov.sandia.cognition.math.matrix.TwoVectorEntry: Gets the first value to which this entry points
getFirstVector() - Method in class gov.sandia.cognition.math.matrix.DefaultTwoVectorEntry: Getter for firstVector.
getFoldCreator() - Method in class gov.sandia.cognition.learning.experiment.AbstractValidationFoldExperiment: Gets the fold creator.
getForward() - Method in class gov.sandia.cognition.evaluator.ForwardReverseEvaluatorPair: Gets the forward evaluator that maps input type to output type.
getFraction(KeyType) - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getFraction(DataType) - Method in interface gov.sandia.cognition.statistics.DataDistribution: Gets the fraction of the counts represented by the given key.
getFractionValue() - Method in class gov.sandia.cognition.math.LentzMethod: Getter for fractionValue
getFrequency() - Method in class gov.sandia.cognition.learning.function.scalar.CosineFunction: Getter for frequency
getFScore() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getFScore(double) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getFScore() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The F-score of the confusion matrix, which is also known as the F1-score or F-measure.
getFScore(double) - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The F-score for the confusion matrix with the given trade-off parameter (beta).
getFunction() - Method in class gov.sandia.cognition.learning.algorithm.gradient.GradientDescendableApproximator: Getter for function
getFunction() - Method in class gov.sandia.cognition.learning.function.kernel.ScalarFunctionKernel: Gets the scalar function the kernel is using.
getFunction() - Method in class gov.sandia.cognition.learning.function.kernel.VectorFunctionKernel: Gets the vector function the kernel is using.
getFunction() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.LogEvaluator: Getter for function
getFurthestNeighborDistance() - Method in class gov.sandia.cognition.math.geometry.KDTree.Neighborhood: Returns the distance of the furthest Neighbor.
getFutureStateDistribution(Vector, int) - Method in class gov.sandia.cognition.learning.algorithm.hmm.MarkovChain: Simulates the Markov chain into the future, given the transition Matrix and the given current state-probability distribution, for the given number of time steps into the future.
getGaussian() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.GaussianCluster: Gets the Gaussian that represents the cluster.
getGaussian() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator: Gets the underlying multivariate Gaussian.
getGaussian() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussianInverseGammaDistribution: Getter for gaussian
getGaussian() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution: Getter for gaussian.
getGaussianMixture() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer: Getter for gaussianMixture
getGenome() - Method in class gov.sandia.cognition.learning.algorithm.genetic.EvaluatedGenome: Gets the genome.
getGeometricDecrease() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizerBacktracking: Getter for geometricDecrease.
getGlobalWeighter() - Method in class gov.sandia.cognition.text.term.vector.weighter.CompositeLocalGlobalTermWeighter: Gets the weighting scheme for the global weights.
getGlobalWeights() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.DominanceGlobalTermWeighter
getGlobalWeights() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.EntropyGlobalTermWeighter
getGlobalWeights() - Method in interface gov.sandia.cognition.text.term.vector.weighter.global.GlobalTermWeighter: Gets the current vector of global weights.
getGlobalWeights() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.InverseDocumentFrequencyGlobalTermWeighter
getGoldenInterpolator() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorBrent: Getter for goldenInterpolator
getHashFunction() - Method in class gov.sandia.cognition.learning.data.feature.FeatureHashing: Gets the hash function to use.
getHiddenDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork: Gets the number of hidden units, not including the bias term.
getHighValue() - Method in class gov.sandia.cognition.learning.function.scalar.ThresholdFunction: Getter for highValue
getHoursPart() - Method in class gov.sandia.cognition.time.DefaultDuration
getHoursPart() - Method in interface gov.sandia.cognition.time.Duration: Gets the standard hours part of the time.
getIdentifier() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifier: Gets the integer identifier for the SemanticLabel
getIdentifier() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelBooleanConverter: Gets the semantic identifier of the cogxel to convert.
getIdentifier() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelDoubleConverter: Gets the semantic identifier of the Cogxel to convert.
getIdentifier(int) - Method in class gov.sandia.cognition.framework.lite.ArrayBasedCognitiveModelInput: Gets the SemanticIdentifier of the given index in the array.
getIdentifier(int) - Method in class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput: Gets the SemanticIdentifier of the given index in the array.
getIdentifier() - Method in interface gov.sandia.cognition.framework.SemanticIdentifier: Gets the integer identifier for the SemanticLabel
getIdentifier() - Method in class gov.sandia.cognition.framework.SemanticIdentifierMapEvent: Gets the SemanticIdentifier involved in the event.
getIdentifier() - Method in class gov.sandia.cognition.util.DefaultIdentifiedValue
getIdentifier() - Method in interface gov.sandia.cognition.util.Identified: Gets the identifier for this object.
getIdentifierCounter() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifierMap: Getter for identifierCounter.
getIdentifiers() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifierMap: Gets all the SemanticIdentifiers in the map.
getIdentifiers() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the list of cached SemanticIdentifiers.
getIdentifiers() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedCognitiveModelInput: Gets the array of identifiers.
getIdentifiers() - Method in class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput: Getter for identifiers
getIdentifiers() - Method in interface gov.sandia.cognition.framework.SemanticIdentifierMap: Gets all the SemanticIdentifiers in the map.
getIdentifierToIndexMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the cached mapping of SemanticIdentifier to vector index.
getImaginaryPart() - Method in class gov.sandia.cognition.math.ComplexNumber: Returns the imaginary portion of the complex number, no computation needed
getImportanceDistribution() - Method in class gov.sandia.cognition.statistics.montecarlo.ImportanceSampler: Getter for importanceDistribution.
getIncomingValue() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode: Gets the label of the incoming value to the node.
getIncomingValue() - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the label of the incoming value to the node.
getIndex(ValueType) - Method in class gov.sandia.cognition.collection.DefaultIndexer
getIndex(ValueType) - Method in interface gov.sandia.cognition.collection.Indexer: Gets the index associated with the value.
getIndex(SemanticLabel) - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the index in the vector of the given label.
getIndex() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.DefaultCluster: Gets the cluster index.
getIndex() - Method in class gov.sandia.cognition.learning.function.categorization.VectorElementThresholdCategorizer: Gets the vector index that the threshold is being applied to.
getIndex() - Method in class gov.sandia.cognition.learning.function.scalar.VectorEntryFunction: Gets the index into the vector that the function gets the value for.
getIndex() - Method in class gov.sandia.cognition.math.matrix.DefaultTwoVectorEntry: Gets the current index into the underlying vectors.
getIndex() - Method in interface gov.sandia.cognition.math.matrix.TwoVectorEntry: Gets the current index into the Vector to which this entry points
getIndex() - Method in interface gov.sandia.cognition.math.matrix.VectorEntry: Gets the current index into the Vector to which this entry points
getIndex() - Method in class gov.sandia.cognition.math.matrix.VectorizableIndexComparator: Getter for index.
getIndex(Termable) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
getIndex(Term) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
getIndex() - Method in class gov.sandia.cognition.text.term.DefaultIndexedTerm
getIndex() - Method in interface gov.sandia.cognition.text.term.IndexedTerm: Gets the index associated with the term.
getIndex(Termable) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the index of the given term.
getIndex(Term) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the index of the given term.
getIndexComparator() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: Gets the index comparator.
getIndexedTerm(Termable) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
getIndexedTerm(Term) - Method in class gov.sandia.cognition.text.term.DefaultTermIndex
getIndexedTerm(int) - Method in class gov.sandia.cognition.text.term.DefaultTermIndex
getIndexedTerm(Termable) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the index-term pair for the given term, if it is in the index.
getIndexedTerm(Term) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the index-term pair for the given term, if it is in the index.
getIndexedTerm(int) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the index-term pair for the given index.
getInitialAlpha() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel: Getter for initialAlpha
getInitialBelief() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.AbstractConjugatePriorBayesianEstimator: Getter for initialBelief.
getInitialDomainCapacity() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution.DefaultFactory: Gets the initial domain capacity.
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm: Getter for initialGuess.
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.minimization.AbstractAnytimeFunctionMinimizer: Getter for initialGuess
getInitialGuess() - Method in interface gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizer: Gets the initial guess of the minimization routine
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver: Returns the initial guess at "x"
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractRootFinder: Returns the initial guess of the root.
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.root.MinimizerBasedRootFinder
getInitialGuess() - Method in class gov.sandia.cognition.learning.algorithm.root.RootBracketExpander: Getter for initialGuess.
getInitialGuess() - Method in interface gov.sandia.cognition.learning.algorithm.root.RootFinder: Sets the initial guess of the root (zero-crossing), which is supplied as input to the function to find the zero-crossings of.
getInitialGuessFunctionValue() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.AbstractAnytimeLineMinimizer: Getter for initialGuessFunctionValue
getInitialGuessSlope() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.AbstractAnytimeLineMinimizer: Getter for initialGuessSlope
getInitializationRange() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork: Getter for initializationRange
getInitializer() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the cluster initializer.
getInitialPopulation() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Getter for initialPopulation.
getInitialProbability() - Method in class gov.sandia.cognition.learning.algorithm.hmm.MarkovChain: Getter for initialProbability.
getInput() - Method in interface gov.sandia.cognition.framework.CognitiveModelState: Gets the input to the model for this state.
getInput() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLiteState: Gets the input to the model for this state.
getInput() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation.Entry: Gets the input that the data belongs to.
getInput() - Method in class gov.sandia.cognition.learning.data.DefaultInputOutputPair
getInput() - Method in interface gov.sandia.cognition.learning.data.InputOutputPair: Gets the input.
getInputConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelInputOutputPairConverter: Gets the input converter
getInputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModule: Gets the input converter that is used to map from Cogxels to the InputType.
getInputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactoryLearner: Gets the CogxelConverter used to convert from a CogxelState to InputType.
getInputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleSettings: Gets the CogxelConverter used to convert from a CogxelState to InputType.
getInputDimensionality() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the dimensionality of the input vector to the pattern recognizer.
getInputDimensionality() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the dimensionality of the input vector to the pattern recognizer.
getInputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.bayes.DiscreteNaiveBayesCategorizer: Getter for inputDimensionality.
getInputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer
getInputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine
getInputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysisFunction: Returns the expected dimension of input Vectors
getInputDimensionality(Iterable<? extends InputOutputPair<? extends Vectorizable, ?>>) - Static method in class gov.sandia.cognition.learning.data.DatasetUtil: Gets the dimensionality of the input vectors in given set of input-output pairs.
getInputDimensionality() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.categorization.LinearBinaryCategorizer
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.categorization.LinearMultiCategorizer
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.distance.WeightedEuclideanDistanceMetric: Gets the expected dimensionality of the input vectors for this distance metric.
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.scalar.LinearDiscriminant
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.MultivariateDiscriminant
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.SubVectorEvaluator
getInputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork
getInputDimensionality() - Method in interface gov.sandia.cognition.math.matrix.VectorInputEvaluator: Gets the expected dimensionality of the input vector to the evaluator, if it is known.
getInputDimensionality() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution: Gets the dimensionality of the input vectors
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.DirichletDistribution.PDF
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution: Gets the dimensionality of the inverse scale Matrix.
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution.PMF
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian: Gets the dimensionality of the Gaussian.
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution: Gets the dimensionality of the parameters
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution: Gets the dimensionality of the distribution.
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution.PDF
getInputDimensionality() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution: Gets the input dimensionality of the Gaussian and the inverse-Wishart distributions
getInputDimensionality() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform
getInputDimensionality() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis.Result
getInputLabels() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the labels for the dimensions of the input vector.
getInputLabels() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the labels for the dimensions of the input vector.
getInputLearner() - Method in class gov.sandia.cognition.learning.algorithm.InputOutputTransformedBatchLearner: Gets the unsupervised learning algorithm for creating the input transformation.
getInputToVectorMap() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearBasisRegression: Getter for inputToVectorMap
getInstance() - Static method in class gov.sandia.cognition.io.serialization.JavaDefaultBinarySerializationHandler: Gets a singleton instance of the class.
getInstance() - Static method in class gov.sandia.cognition.learning.function.kernel.LinearKernel: Gets the single instance of this class because it has no internal data.
getInstance() - Static method in class gov.sandia.cognition.learning.function.kernel.ZeroKernel: Gets the single instance of this class because it has no internal data.
getInstance() - Static method in class gov.sandia.cognition.text.term.vector.CosineSimilarityFunction: Gets a singleton instance of the class.
getInstance() - Static method in class gov.sandia.cognition.util.DefaultWeightedValue.WeightComparator: Gets a static instance of this class.
getIntegralGain() - Method in class gov.sandia.cognition.math.signals.PIDController: Getter for integralGain.
getInternalEntry() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: getter for internalEntry
getInternalEntry() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator: getter for internalEntry
getInternalFunction() - Method in class gov.sandia.cognition.learning.algorithm.root.SolverFunction: Getter for internalFunction
getInternalFunction() - Method in class gov.sandia.cognition.math.matrix.NumericalDifferentiator: Getter for internalFunction
getInternalMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix: Gets the internal MTJ matrix that this class is wrapping.
getInternalMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getInternalMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix
getInternalMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix
getInternalReader() - Method in class gov.sandia.cognition.math.matrix.MatrixReader: Getter for internalReader
getInternalState() - Method in class gov.sandia.cognition.framework.lite.CognitiveModuleStateWrapper: Gets the internal state object.
getInternalVector() - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJVector: Getter for internalVector
getInternalVector() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector
getInterpolator() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.AbstractAnytimeLineMinimizer
getInterpolator() - Method in interface gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizer: Gets the interpolator used to fit data points and derive an interpolated (hypothesized) minimum to try next.
getInverseDocumentFrequency() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.InverseDocumentFrequencyGlobalTermWeighter: Gets the inverse-document-frequency (IDF) global weight values.
getInverseGamma() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussianInverseGammaDistribution: Getter for inverseGamma
getInverseScale() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution: Getter for inverseScale
getInverseWishart() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution: Getter for inverseWishart
getItems() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the collection of items contained in this node and all subnodes.
getIteration() - Method in class gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm
getIteration() - Method in class gov.sandia.cognition.algorithm.AnytimeAlgorithmWrapper
getIteration() - Method in interface gov.sandia.cognition.algorithm.IterativeAlgorithm: Gets the current number of iterations executed by this algorithm since its it was started.
getIteration() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver
getIterationLearner() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelWeightedRobustRegression: Getter for iterationLearner
getIterationsPerSample() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo
getIterationsPerSample() - Method in interface gov.sandia.cognition.statistics.bayesian.MarkovChainMonteCarlo: Gets the number of iterations that must transpire between capturing samples from the distribution.
getIterationsPerSample() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the number of iterations to the Markov Chain Monte Carlo algorithm between samples (after the burn-in iterations).
getIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the current number of iterations without improvement.
getIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the current number of iterations without improvement.
getIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.regression.LevenbergMarquardtEstimation: Getter for iterationsWithoutImprovement
getJointEntropy() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the joint entropy (H(u,v)), computing it if this is the first time called
getK() - Method in class gov.sandia.cognition.learning.algorithm.nearest.AbstractKNearestNeighbor: Getter for k
getK() - Method in interface gov.sandia.cognition.learning.algorithm.nearest.KNearestNeighbor: Getter for k
getK() - Method in class gov.sandia.cognition.math.Combinations: Getter for k
getKappa() - Method in class gov.sandia.cognition.learning.function.kernel.SigmoidKernel: Gets kappa, the value multiplied by the dot product of the two vectors before it is passed to the hyperbolic tangent function.
getKeepGoing() - Method in class gov.sandia.cognition.learning.algorithm.AbstractAnytimeBatchLearner
getKeepGoing() - Method in interface gov.sandia.cognition.learning.algorithm.AnytimeBatchLearner: Gets the keep going value, which indicates if the algorithm should continue on to another step.
getKeepGoing() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DirichletProcessClustering
getKeepGoing() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer.Learner
getKeepGoing() - Method in class gov.sandia.cognition.math.LentzMethod: Getter for keepGoing
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.AbstractOnlineKernelBinaryCategorizerLearner
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelAdatron: Gets the kernel to use.
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron: Gets the kernel to use.
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression: Gets the kernel to use.
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.regression.LocallyWeightedFunction: Getter for kernel
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.regression.LocallyWeightedFunction.Learner: Getter for kernel
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization
getKernel() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the kernel to use.
getKernel() - Method in class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer
getKernel() - Method in class gov.sandia.cognition.learning.function.kernel.DefaultKernelContainer: Gets the internal kernel.
getKernel() - Method in interface gov.sandia.cognition.learning.function.kernel.KernelContainer: Gets the kernel.
getKernelCacheSize() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization: Gets the size of the kernel cache or 0 if no kernel cache is to be used.
getKernelMatrix() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis.Function: Gets the kernel matrix for the data that the analysis was done over.
getKernels() - Method in class gov.sandia.cognition.learning.function.kernel.DefaultKernelsContainer: Gets the collection of kernels.
getKernelWeightingFunction() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelWeightedRobustRegression: Getter for kernelWeightingFunction
getKey() - Method in class gov.sandia.cognition.collection.AbstractLogNumberMap.SimpleEntry
getKey() - Method in class gov.sandia.cognition.collection.AbstractMutableDoubleMap.SimpleEntry
getKey() - Method in interface gov.sandia.cognition.collection.ScalarMap.Entry: Gets the key.
getKey() - Method in class gov.sandia.cognition.util.DefaultKeyValuePair
getKey() - Method in interface gov.sandia.cognition.util.KeyValuePair: Gets the key part of the key-value pair.
getKnownCovarianceInverse() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.MultivariateGaussianMeanBayesianEstimator: Getter for knownCovarianceInverse.
getKnownVariance() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.UnivariateGaussianMeanBayesianEstimator: Getter for knownVariance.
getKurtosis() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for Kurtosis
getLabel() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifier: Gets the SemanticLabel.
getLabel() - Method in class gov.sandia.cognition.framework.DefaultSemanticLabel: Getter for label.
getLabel(String) - Method in class gov.sandia.cognition.framework.io.CSVDefaultCognitiveModelLiteHandler: Takes a name and returns its DefaultSemanticLabel or null if there is none.
getLabel() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelBooleanConverter: Gets the label of the cogxel to convert.
getLabel() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelDoubleConverter: Gets the label of the Cogxel to convert.
getLabel() - Method in interface gov.sandia.cognition.framework.SemanticIdentifier: Gets the SemanticLabel.
getLabels() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the labels used by the converter, each one corresponding to one dimension in the converted Vector.
getLabels() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizerState: Gets the labels corresponding to the dimensions of the state.
getLambda() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineShiftingPerceptron: Gets the lambda parameter, which controls how much shifting and decay there is in the weight vector.
getLast(List<? extends T>) - Static method in class gov.sandia.cognition.collection.CollectionUtil: Gets the last element of the list.
getLast() - Method in class gov.sandia.cognition.collection.FiniteCapacityBuffer: Returns the last element in the list.
getLastErr() - Method in class gov.sandia.cognition.math.signals.PIDController.State: Getter for lastErr
getLastGradient() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.DirectionalVectorToDifferentiableScalarFunction: Getter for lastGradient
getLastLogLikelihood() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm: Gets the log likelihood of the last completed step of the algorithm.
getLastMember(WeightedBinaryEnsemble<Vectorizable, LinearBinaryCategorizer>) - Static method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineVotedPerceptron: Gets the last member in the ensemble.
getLastModifiedDateField() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getLastModifiedDateField() - Method in interface gov.sandia.cognition.text.document.Document: Gets the commonly-used last modified date field.
getLastTokenNum() - Method in class gov.sandia.cognition.io.ReaderTokenizer: Getter for lastTokenNum
getLayers() - Method in class gov.sandia.cognition.learning.function.vector.DifferentiableFeedforwardNeuralNetwork
getLayers() - Method in class gov.sandia.cognition.learning.function.vector.FeedforwardNeuralNetwork: Getter for layers
getLeafCountThreshold() - Method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTreeLearner: Gets the leaf count threshold, which determines the number of elements at which to make an element into a leaf.
getLeafCountThreshold() - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeLearner: Gets the leaf count threshold, which determines the number of elements at which to learn a regression function.
getLeakage() - Method in class gov.sandia.cognition.learning.function.scalar.LeakyRectifiedLinearFunction: Sets the leakage, which is the multiplier for the value when it is less than zero.
getLearner() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactoryLearner: Gets the learner used to create the Evaluator for the module.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.AbstractBatchLearnerContainer: Gets the wrapped learner.
getLearner() - Method in interface gov.sandia.cognition.learning.algorithm.BatchLearnerContainer: Gets the learner contained in this object.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the learner used to learn each ensemble member.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdaBoost
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the learner used to learn each ensemble member.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.MultiCategoryAdaBoost
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.OnlineBaggingCategorizerLearner: Gets the incremental (online) learning algorithm to use to learn all of the ensemble members.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelBinaryCategorizerOnlineLearnerAdapter: Gets the kernelizable learner that this adapter is wrapping.
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.regression.LocallyWeightedFunction: Getter for learner
getLearner() - Method in class gov.sandia.cognition.learning.algorithm.regression.LocallyWeightedFunction.Learner: Getter for learner
getLearner() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment: Gets the learner the experiment is being run on.
getLearner() - Method in class gov.sandia.cognition.learning.experiment.LearnerValidationExperiment: Gets the learner the experiment is being run on.
getLearner() - Method in class gov.sandia.cognition.learning.function.categorization.EvaluatorToCategorizerAdapter.Learner: Gets the learner whose output is to be adapted to be a categorizer.
getLearners() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the learners the experiment is being run on.
getLearners() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.EMLearner: Getter for learners
getLearningDataConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactoryLearner: Gets the CogxelConverter used to convert from a CogxelState to LearningDataType.
getLearningRate() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient: Gets the learning rate.
getLearningRate() - Method in class gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizerGradientDescent: Getter for learningRate
getLearningRate() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm: Getter for learningRate
getLength() - Method in class gov.sandia.cognition.text.AbstractOccurrenceInText
getLength() - Method in interface gov.sandia.cognition.text.OccurrenceInText: Gets the length of text where the occurrence appears.
getLineMinimizer() - Method in class gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizerConjugateGradient: Getter for lineMinimizer
getLineMinimizer() - Method in class gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizerDirectionSetPowell: Getter for lineMinimizer
getLineMinimizer() - Method in class gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizerQuasiNewton: Getter for lineMinimizer
getLineMinimizer() - Method in class gov.sandia.cognition.learning.algorithm.regression.FletcherXuHybridEstimation: Getter for lineMinimizer
getLineMinimizer() - Method in class gov.sandia.cognition.learning.algorithm.regression.GaussNewtonAlgorithm: Getter for lineMinimizer
getLines() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.AbstractEnvelope: Getter for lines
getListeners() - Method in class gov.sandia.cognition.algorithm.AbstractIterativeAlgorithm: Retrieves the list of listeners for this algorithm.
getListeners() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifierMap: Getter for listeners.
getListeners() - Method in class gov.sandia.cognition.learning.experiment.AbstractLearningExperiment: Gets the listeners for this experiment.
getLocalApproximator() - Method in class gov.sandia.cognition.learning.algorithm.regression.LocallyWeightedFunction: Getter for localApproximator
getLocalCount() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the number of items that are locally contained at the node.
getLocalItems() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the list of items stored locally at the node in the tree.
getLocalWeighter() - Method in class gov.sandia.cognition.text.term.vector.weighter.CompositeLocalGlobalTermWeighter: Gets the weighting scheme for the local weights.
getLocation() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution: Getter for location.
getLocation() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution: Getter for location.
getLog(KeyType) - Method in class gov.sandia.cognition.collection.AbstractLogNumberMap: Gets the LogNumber at the given key
getLogCovarianceDeterminant() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian: Getter for logCovarianceDeterminant
getLogDeterminant() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition: Computes the natural logarithm determinant from the collection of eigenvalues
getLogDeterminant() - Method in interface gov.sandia.cognition.math.matrix.decomposition.EigenDecomposition: Computes the natural logarithm determinant from the collection of eigenvalues
getLogDeterminantPrecision() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution.PDF: Getter for logDeterminantPrecision
getLogFraction(KeyType) - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getLogFraction(DataType) - Method in interface gov.sandia.cognition.statistics.DataDistribution: Gets the natural logarithm of the fraction of the counts represented by the given key.
getLogFunction() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Getter for logFunction
getLogLeadingCoefficient() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian: Getter for logLeadingCoefficient
getLogNormalMean() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution: Getter for logNormalMean
getLogNormalVariance() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution: Getter for logNormalVariance
getLogValue() - Method in class gov.sandia.cognition.math.LogNumber: Gets the log of the value represented by this object, which is what is stored in the object.
getLogValue() - Method in class gov.sandia.cognition.math.UnsignedLogNumber: Gets the log of the value represented by this object, which is what is stored in the object.
getLowerBound() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineBracket: Getter for lowerBound
getLowerBound() - Method in class gov.sandia.cognition.statistics.method.ConfidenceInterval: Getter for lowerBound
getLowerLeft() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the child representing lower-left quadrant of the node, when treating the 2D coordinate grid in a mathematical representation (positive x values go left and positive y values go up).
getLowerRight() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the child representing lower-right quadrant of the node, when treating the 2D coordinate grid in a mathematical representation (positive x values go left and positive y values go up).
getLowValue() - Method in class gov.sandia.cognition.learning.function.scalar.ThresholdFunction: Getter for lowValue
getMagnitude() - Method in class gov.sandia.cognition.math.ComplexNumber: Computes the magnitude of the complex number, sometimes called the length of the number.
getMap() - Method in class gov.sandia.cognition.framework.SemanticIdentifierMapEvent: Gets the SemanticIdentifierMap that the event happened in.
getMapping() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifierMap: Getter for mapping.
getMarginNegative() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron: Gets the negative margin that is enforced.
getMarginNegative() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron: Gets the negative margin that is enforced.
getMarginPositive() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron: Gets the positive margin that is enforced.
getMarginPositive() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron: Gets the positive margin that is enforced.
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix
getMatrixFactory() - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets a matrix factory, typically one associated with this type of matrix.
getMatrixFactory() - Method in interface gov.sandia.cognition.math.matrix.MatrixFactoryContainer: Gets the matrix factory the object to use to create new matrices.
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix
getMatrixFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix
getMatrixFactory() - Method in class gov.sandia.cognition.text.term.relation.TermVectorSimilarityNetworkCreator: Gets the matrix factory to create the matrix that backs the similarity network.
getMatrixFactory() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis: Gets the matrix factory to use.
getMax() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for max
getMaxBufferSize() - Method in class gov.sandia.cognition.learning.data.feature.LinearRegressionCoefficientExtractor: Getter for maxBufferSize
getMaxCriterionDecrease() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Returns the maximum decrease in the training criterion allowed following a bisection.
getMaxDepth() - Method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTreeLearner: Gets the maximum depth to grow the tree.
getMaxDepth() - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeLearner: Gets the maximum depth to grow the tree.
getMaxDistance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: The maximum distance between clusters that is allowed for the two clusters to be merged.
getMaximum() - Method in class gov.sandia.cognition.evaluator.ValueClamper: Gets the maximum value to allow.
getMaximumLength() - Method in class gov.sandia.cognition.text.term.filter.TermLengthFilter: Gets the maximum length allowed for a term (inclusive).
getMaxIterations() - Method in class gov.sandia.cognition.algorithm.AbstractAnytimeAlgorithm
getMaxIterations() - Method in interface gov.sandia.cognition.algorithm.AnytimeAlgorithm: Gets the maximum number of total iterations before stopping.
getMaxIterations() - Method in class gov.sandia.cognition.algorithm.AnytimeAlgorithmWrapper
getMaxIterations() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver
getMaxIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the maximum number of iterations to go without improvement before stopping.
getMaxIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the maximum number of iterations to go without improvement before stopping.
getMaxIterationsWithoutImprovement() - Method in class gov.sandia.cognition.learning.algorithm.regression.LevenbergMarquardtEstimation: Getter for maxIterationsWithoutImprovement
getMaxMagnitude() - Method in class gov.sandia.cognition.learning.function.scalar.AtanFunction: Getter for maxMagnitude.
getMaxMinDistance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: Deprecated.
Use getMaxDistance
getMaxNumPoints() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Getter for maxNumPoints
getMaxPenalty() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization: Gets the maximum penalty parameter for the algorithm, which is also known as C in the paper and in other related literature.
getMaxSupport() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Getter for maxSupport
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.CDF
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getMaxSupport() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getMaxSupport() - Method in interface gov.sandia.cognition.statistics.UnivariateDistribution: Gets the minimum support (domain or input) of the distribution.
getMaxSupport() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getMaxTime() - Method in interface gov.sandia.cognition.data.temporal.BatchTemporalDataSource: Gets the maximum time for the dataset.
getMaxTime() - Method in interface gov.sandia.cognition.data.temporal.SeekableTemporalDataReadChannel: The maximum time coordinate on the reader.
getMaxValue() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMaxValue() - Method in class gov.sandia.cognition.collection.IntegerSpan: Getter for maxValue
getMaxValue() - Method in interface gov.sandia.cognition.collection.ScalarMap: The maximum value associated with any key in the map.
getMaxValue() - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getMaxValue() - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getMaxValue() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getMaxValue() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector
getMaxValue() - Method in interface gov.sandia.cognition.math.matrix.VectorSpace: The maximum value associated with any key in the vector.
getMaxValue() - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getMaxValue() - Method in class gov.sandia.cognition.statistics.method.TreeSetBinner: Gets the maximum value, exclusive, allowed in bins
getMaxValueKey() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMaxValueKey() - Method in interface gov.sandia.cognition.collection.NumericMap: Gets the non-unique key associated with the maximum value in the map.
getMaxValueKeys() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMaxValueKeys() - Method in interface gov.sandia.cognition.collection.NumericMap: Gets a set of all keys associated with the maximum value in the map.
getMaxWeight() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the maximum weight allowed on an instance (support vector).
getMean() - Method in class gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysisFunction: Getter for mean
getMean() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator: Gets the mean of the underlying Gaussian.
getMean() - Method in class gov.sandia.cognition.learning.data.feature.StandardDistributionNormalizer: Gets the mean.
getMean() - Method in class gov.sandia.cognition.learning.function.categorization.AbstractConfidenceWeightedBinaryCategorizer: Gets the mean of the categorizer, which is the weight vector.
getMean() - Method in interface gov.sandia.cognition.learning.function.categorization.ConfidenceWeightedBinaryCategorizer: Gets the mean of the categorizer, which is the weight vector.
getMean() - Method in class gov.sandia.cognition.learning.function.categorization.MaximumAPosterioriCategorizer: Gets the mean category, if it is a number or ring.
getMean() - Method in class gov.sandia.cognition.math.RingAccumulator: Computes the mean of the accumulated values.
getMean() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for mean
getMean() - Method in class gov.sandia.cognition.statistics.AbstractClosedFormSmoothUnivariateDistribution
getMean() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.UpperEnvelope: Gets the mean, which is not a supported operation.
getMean() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression.IncrementalEstimator.SufficientStatistic: Computes the mean of the Gaussian, but involves a matrix inversion and multiplication, so it's expensive.
getMean() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Computes the mean of the Gaussian, but involves a matrix inversion and multiplication, so it's expensive.
getMean(Collection<? extends Double>) - Static method in class gov.sandia.cognition.statistics.bayesian.BayesianUtil: Computes the Monte Carlo distribution of the given samples.
getMean() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess
getMean() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.DirichletDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatistic: Getter for mean
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatisticCovarianceInverse: Getter for mean
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussianInverseGammaDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateMixtureDensityModel
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getMean() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getMean() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian: Getter for mean
getMean() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.SufficientStatistic: Gets the mean of the Gaussian.
getMean() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getMean() - Method in interface gov.sandia.cognition.statistics.DistributionWithMean: Gets the arithmetic mean, or "first central moment" or "expectation", of the distribution.
getMean(Collection<? extends OutputType>) - Method in interface gov.sandia.cognition.statistics.montecarlo.MonteCarloIntegrator: Computes the Monte Carlo distribution of the given samples.
getMean(List<? extends WeightedValue<? extends OutputType>>) - Method in interface gov.sandia.cognition.statistics.montecarlo.MonteCarloIntegrator: Computes the Monte Carlo distribution of the given weighted samples.
getMean(Collection<? extends Vector>) - Method in class gov.sandia.cognition.statistics.montecarlo.MultivariateMonteCarloIntegrator
getMean(List<? extends WeightedValue<? extends Vector>>) - Method in class gov.sandia.cognition.statistics.montecarlo.MultivariateMonteCarloIntegrator
getMean(Collection<? extends Double>) - Method in class gov.sandia.cognition.statistics.montecarlo.UnivariateMonteCarloIntegrator
getMean(List<? extends WeightedValue<? extends Double>>) - Method in class gov.sandia.cognition.statistics.montecarlo.UnivariateMonteCarloIntegrator
getMean() - Method in interface gov.sandia.cognition.statistics.SmoothUnivariateDistribution
getMean() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getMeanAsDouble() - Method in interface gov.sandia.cognition.statistics.UnivariateDistribution: Gets the mean of the distribution as a double.
getMeanAsDouble() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getMeanL1Error() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for meanL1Error
getMeanSquaredResiduals() - Method in class gov.sandia.cognition.statistics.method.TukeyKramerConfidence.Statistic: Getter for meanSquaredResiduals
getMeanValue() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution: Gets the average value of all keys in the distribution, that is, the total value divided by the number of keys (even zero-value keys)
getMeasurementCovariance() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractKalmanFilter: Getter for measurementCovariance
getMedian() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for median
getMemberCount() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractUnweightedEnsemble: Gets the number of members in the ensemble.
getMemberCount() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractWeightedEnsemble: Gets the number of members in the ensemble.
getMembers() - Method in interface gov.sandia.cognition.learning.algorithm.clustering.cluster.Cluster: Gets the member objects of the cluster.
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.DefaultCluster: Gets the members of the cluster.
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.AbstractClusterHierarchyNode
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractUnweightedEnsemble
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractWeightedEnsemble: Gets the members of the ensemble.
getMembers() - Method in interface gov.sandia.cognition.learning.algorithm.ensemble.Ensemble: Gets the members of the ensemble.
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.VotingCategorizerEnsemble
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.WeightedBinaryEnsemble: Gets the members of the ensemble.
getMembers() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.WeightedVotingCategorizerEnsemble: Gets the members of the ensemble.
getMethods(Class<?>) - Static method in class gov.sandia.cognition.util.ObjectUtil: Gets the Collection of all public/private/protected Methods in the given Class (except those only given in the Object class).
getMetric() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the distance metric the clustering uses.
getMetric() - Method in class gov.sandia.cognition.learning.algorithm.clustering.OptimizedKMeansClusterer: Gets the metric being used by the algorithm.
getMillisecondsPart() - Method in class gov.sandia.cognition.time.DefaultDuration
getMillisecondsPart() - Method in interface gov.sandia.cognition.time.Duration: Gets the standard milliseconds part of the time.
getMin() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for min
getMinChange() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares: Gets the minimum change allowed in an iteration.
getMinChange() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm: Getter for minChange
getMinChange() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the minimum total weight change allowed for the algorithm to continue.
getMinClusterSize() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Returns the minimum number of elements per cluster to allow.
getMinDenominator() - Method in class gov.sandia.cognition.math.LentzMethod: Getter for minDenominator
getMinFunctionValue() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizerDerivativeBased: Getter for minFunctionValue
getMinibatchSize() - Method in class gov.sandia.cognition.learning.algorithm.clustering.MiniBatchKMeansClusterer: Get the size of the mini-batches used.
getMinimum() - Method in class gov.sandia.cognition.evaluator.ValueClamper: Gets the minimum value to allow.
getMinimumChange() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis: Gets the minimum change in log-likelihood to allow before stopping the algorithm.
getMinimumLength() - Method in class gov.sandia.cognition.text.term.filter.TermLengthFilter: Gets the minimum length allowed for a term (inclusive).
getMinMargin() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron: Gets the minimum margin to enforce.
getMinMargin() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineBinaryMarginInfusedRelaxedAlgorithm: Gets the minimum margin to enforce.
getMinMargin() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineMultiPerceptron: Gets the minimum margin to enforce.
getMinNumClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: The minimum number of clusters to allow.
getMinSamples() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the minimum number of samples.
getMinSensitivity() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression: Gets the minimum sensitivity that an example can have on the result function.
getMinSplitSize() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractVectorThresholdMaximumGainLearner: Gets the minimum split size.
getMinSplitSize() - Method in class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdVarianceLearner: Gets the minimum split size.
getMinSupport() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Getter for minSupport
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.CDF
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getMinSupport() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getMinSupport() - Method in interface gov.sandia.cognition.statistics.UnivariateDistribution: Gets the minimum support (domain or input) of the distribution.
getMinSupport() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getMinTime() - Method in interface gov.sandia.cognition.data.temporal.BatchTemporalDataSource: Gets the minimum time for the dataset.
getMinTime() - Method in interface gov.sandia.cognition.data.temporal.SeekableTemporalDataReadChannel: The minimum time coordinate on the reader.
getMinutesPart() - Method in class gov.sandia.cognition.time.DefaultDuration
getMinutesPart() - Method in interface gov.sandia.cognition.time.Duration: Gets the standard minutes part of the time.
getMinValue() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMinValue() - Method in class gov.sandia.cognition.collection.IntegerSpan: Getter for minValue
getMinValue() - Method in interface gov.sandia.cognition.collection.ScalarMap: The minimum value associated with any key in the map.
getMinValue() - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getMinValue() - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getMinValue() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getMinValue() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector
getMinValue() - Method in interface gov.sandia.cognition.math.matrix.VectorSpace: The minimum value associated with any key in the vector.
getMinValue() - Method in class gov.sandia.cognition.statistics.AbstractDataDistribution
getMinValue() - Method in class gov.sandia.cognition.statistics.method.TreeSetBinner: Gets the minimum value, inclusive, allowed in bins
getMinValueKey() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMinValueKey() - Method in interface gov.sandia.cognition.collection.NumericMap: Gets the non-unique key associated with the minimum value in the map.
getMinValueKeys() - Method in class gov.sandia.cognition.collection.AbstractScalarMap
getMinValueKeys() - Method in interface gov.sandia.cognition.collection.NumericMap: Gets a set of all keys associated with the minimum value in the map.
getModel() - Method in class gov.sandia.cognition.framework.CognitiveModelStateChangeEvent: Gets the model that changed state.
getModel() - Method in class gov.sandia.cognition.statistics.bayesian.KalmanFilter: Getter for model
getModelCovariance() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractKalmanFilter: Getter for modelCovariance
getModelListeners() - Method in class gov.sandia.cognition.framework.AbstractCognitiveModel: Getter for the model listeners.
getModularity(int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy: Returns the modularity at the input level of the hierarchy.
getModularity() - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getModularity() - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Returns the modularity for this community specification.
getModuleFactories() - Method in class gov.sandia.cognition.framework.AbstractCognitiveModelFactory: Gets the CognitiveModuleFactories that are used to create a model.
getModuleFactories() - Method in interface gov.sandia.cognition.framework.CognitiveModelFactory: Gets the CognitiveModuleFactories that are used to create a model.
getModules() - Method in interface gov.sandia.cognition.framework.CognitiveModel: Gets the modules that are instantiated for this model.
getModules() - Method in class gov.sandia.cognition.framework.concurrent.MultithreadedCognitiveModel: Gets the modules in the model.
getModules() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLite: Gets the modules in the model.
getModuleStates() - Method in interface gov.sandia.cognition.framework.CognitiveModelState: Gets the collection of module states.
getModuleStates() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLiteState: Gets the collection of module states.
getModuleStatesArray() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLiteState: Gets the module states array.
getMomentum() - Method in class gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizerGradientDescent: Setter for momentum
getMostLikelyRandomVariable(Vector) - Method in class gov.sandia.cognition.statistics.distribution.MultivariateMixtureDensityModel.PDF: Gets the index of the most-likely distribution, given the input.
getMotionModel() - Method in class gov.sandia.cognition.statistics.bayesian.ExtendedKalmanFilter: Getter for motionModel
getMovingAverageCoefficients() - Method in class gov.sandia.cognition.math.signals.AutoRegressiveMovingAverageFilter: Setter for movingAverageCoefficients
getMovingAverageCoefficients() - Method in class gov.sandia.cognition.math.signals.MovingAverageFilter: Setter for movingAverageCoefficients
getMultipleComparisonResult() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic: Getter for multipleComparisonResult
getMutableModuleFactory() - Method in class gov.sandia.cognition.framework.io.CSVDefaultCognitiveModelLiteHandler: Gets the sharable module factory that has been read in.
getMutualInformation() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the mutual information (I(u, v)) for the two partitionings, computing and storing it if this is the first time called
getN() - Method in class gov.sandia.cognition.math.Combinations: Getter for N
getN() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.BinomialBayesianEstimator: Gets the number of samples in the experiment
getN() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution: Getter for n
getN() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution: Getter for N
getN1() - Method in class gov.sandia.cognition.statistics.method.MannWhitneyUConfidence.Statistic: Getter for N1
getN2() - Method in class gov.sandia.cognition.statistics.method.MannWhitneyUConfidence.Statistic: Getter for N2
getName() - Method in interface gov.sandia.cognition.framework.CognitiveModule: Gets the human-readable name of module.
getName() - Method in class gov.sandia.cognition.framework.DefaultSemanticLabel: Gets the name of the label, which is its String.
getName() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModule: Gets the human-readable name of module.
getName() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactory: Getter for name
getName() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactoryLearner: Getter for name
getName() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedPerceptionModule: Gets the human-readable name of module.
getName() - Method in class gov.sandia.cognition.framework.lite.MutableSemanticMemoryLite: Gets the human-readable name of module.
getName() - Method in class gov.sandia.cognition.framework.lite.SharedSemanticMemoryLite: Gets the human-readable name of module.
getName() - Method in class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModule: Gets the human-readable name of module.
getName() - Method in interface gov.sandia.cognition.framework.SemanticLabel: Gets the human-readable name of the label.
getName() - Method in interface gov.sandia.cognition.text.document.Field: Gets the name of the field.
getName() - Method in class gov.sandia.cognition.text.term.DefaultTerm
getName() - Method in class gov.sandia.cognition.text.term.DefaultTermNGram: The name of the n-gram term is [<n>-gram: <list>] where n is the size ot this n-gram and list is a comma-separated list of the internal term names.
getName() - Method in class gov.sandia.cognition.util.AbstractNamed
getName() - Method in interface gov.sandia.cognition.util.Named: Gets the name of the Object that it is called on.
getNe() - Method in class gov.sandia.cognition.statistics.method.KolmogorovSmirnovConfidence.Statistic: Getter for Ne
getNeighborhoodRadius() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the neighborhood radius.
getNetwork() - Method in class gov.sandia.cognition.framework.io.CSVDefaultCognitiveModelLiteHandler: Gets the underlying network.
getNetwork() - Method in class gov.sandia.cognition.framework.lite.AbstractSemanticMemoryLite: Gets the semantic network underlying the semantic memory.
getNetwork() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the SemanticNetwork describing the structure of the pattern recognizer.
getNetwork() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the SemanticNetwork describing the structure of the pattern recognizer.
getNetwork() - Method in interface gov.sandia.cognition.framework.SemanticMemory: Gets the underlying SemanticNetwork for the SemanticMemory.
getNewIdentifier() - Method in class gov.sandia.cognition.framework.DefaultSemanticIdentifierMap: Gets a new identifier for a new label.
getNextNode(int, int, GraphMetrics<NodeNameType>) - Method in interface gov.sandia.cognition.graph.GraphWalker.NextNodeSelector: Given the current state of the system, this method returns the id of the next node to visit
getNextNode(int, int, GraphMetrics<NodeNameType>) - Method in class gov.sandia.cognition.graph.GraphWalker.RandomWalker: Returns the id of the next node to visit based on current state
getNmiJoint() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the joint normalized mutual information (see Table 2 of cited paper)
getNmiMax() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the max normalized mutual information (see Table 2 of cited paper)
getNmiMin() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the min normalized mutual information (see Table 2 of cited paper)
getNmiSqrt() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the sqrt normalized mutual information (see Table 2 of cited paper)
getNmiSum() - Method in class gov.sandia.cognition.graph.community.CommunityComparisons: Returns the sum normalized mutual information (see Table 2 of cited paper)
getNode(int) - Method in class gov.sandia.cognition.graph.DenseMemoryGraph: Helper that returns the node for the internal ID.
getNode(int) - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Returns the node label for the input id.
getNodeId(NodeNameType) - Method in class gov.sandia.cognition.graph.DenseMemoryGraph: Helper that returns the internal ID for the input node.
getNodeId(NodeNameType) - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Returns the integer ID of the input node.
getNodes() - Method in class gov.sandia.cognition.framework.DefaultSemanticNetwork: Gets the nodes that are in the network.
getNodes() - Method in interface gov.sandia.cognition.framework.SemanticNetwork: Gets the nodes that are in the network.
getNodes() - Method in class gov.sandia.cognition.graph.DenseMemoryGraph
getNodes() - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Returns all of the nodes contained in the graph.
getNodeTriangleEndpointIds(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the other two endpoint ids for all triangles the node participates in.
getNodeTriangleEndpointIds(NodeNameType) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the other two endpoint ids for all triangles the node participates in.
getNodeTriangleEndpoints(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the other two endpoint names for all triangles the node participates in.
getNodeTriangleEndpoints(NodeNameType) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the other two endpoint names for all triangles the node participates in.
getNonZeroCount() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix: Simple method that computes the number of non-zero elements stored in this.
getNonZeroPercent() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix: Returns the percentage of this that is non-zero elements
getNonZeroValueIterator() - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Deprecated.
getNonZeroValueIterator(int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Returns an iterator over the non-zero entries in this matrix starting with startRow.
getNormalizedCentroid() - Method in class gov.sandia.cognition.learning.algorithm.clustering.cluster.NormalizedCentroidCluster: Gets the normalized centroid of the cluster.
getNormalizer() - Method in class gov.sandia.cognition.text.term.vector.weighter.CompositeLocalGlobalTermWeighter: Gets the weight normalizer.
getNullHypothesisProbability() - Method in class gov.sandia.cognition.statistics.method.AbstractConfidenceStatistic: Getter for nullHypothesisProbability
getNullHypothesisProbability(int, int) - Method in class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic
getNullHypothesisProbability() - Method in interface gov.sandia.cognition.statistics.method.ConfidenceStatistic: Gets the probability that the null hypothesis is correct.
getNullHypothesisProbability(int, int) - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getNullHypothesisProbability() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getNullHypothesisProbability(int, int) - Method in interface gov.sandia.cognition.statistics.method.MultipleHypothesisComparison.Statistic: Gets the Null Hypothesis probability associated with the (i,j) treatment comparison
getNullValue() - Method in class gov.sandia.cognition.data.convert.number.DefaultBooleanToNumberConverter: Gets the number that represents a null value.
getNumAutoRegressiveCoefficients() - Method in class gov.sandia.cognition.math.signals.AutoRegressiveMovingAverageFilter: Gets the number of autoregressive coefficients.
getNumChanged() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Getter for numChanged
getNumClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer: Gets the number of clusters.
getNumClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the actual number of clusters that were created.
getNumClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansFactory: Gets the number of clusters for the algorithm to attempt to create.
getNumClusters() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.Sample: Gets the number of clusters in the Sample
getNumCogxels() - Method in interface gov.sandia.cognition.framework.CogxelState: Gets the number of existing Cogxels in this CogxelState.
getNumCogxels() - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite: Gets the number of existing Cogxels in this CogxelState.
getNumColumns() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getNumColumns() - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getNumColumns() - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Returns the number of columns in the Matrix
getNumColumns() - Method in interface gov.sandia.cognition.math.matrix.Matrix: Returns the number of columns in the Matrix
getNumColumns() - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix
getNumCommunitiesAtLevel(int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy: Returns the number of communities at the input level of the hierarchy.
getNumComponents() - Method in class gov.sandia.cognition.learning.algorithm.pca.AbstractPrincipalComponentsAnalysis
getNumComponents() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm
getNumComponents() - Method in interface gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysis: Gets the number of components used in the PCA dimension reduction.
getNumCustomers() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess: Getter for numCustomers
getNumDifferent() - Method in class gov.sandia.cognition.statistics.method.FisherSignConfidence.Statistic: Getter for numDifferent
getNumEdges() - Method in class gov.sandia.cognition.graph.DenseMemoryGraph
getNumEdges() - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Return the number of edges.
getNumElements() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Returns the number of elements
getNumElementsUsed() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector: Deprecated.
getNumericalDerivative() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizerBacktracking: Getter for numericalDerivative
getNumFolds() - Method in class gov.sandia.cognition.learning.experiment.CrossFoldCreator: Gets the number of folds to create.
getNumFolds() - Method in class gov.sandia.cognition.learning.experiment.RandomFoldCreator: Gets the number of folds to create.
getNumInitialClusters() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel: Getter for numInitialClusters
getNumInputs() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedCognitiveModelInput: Gets the number of inputs in the array.
getNumInputs() - Method in class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput: Gets the number of inputs in the array.
getNumModuleStates() - Method in class gov.sandia.cognition.framework.lite.CognitiveModelLiteState: Returns the number of module states in this model state.
getNumMovingAverageCoefficients() - Method in class gov.sandia.cognition.math.signals.AutoRegressiveMovingAverageFilter: Returns the number of coefficients in the moving-average filter.
getNumMovingAverageCoefficients() - Method in class gov.sandia.cognition.math.signals.MovingAverageFilter: Returns the number of coefficients in the moving-average filter.
getNumNodes() - Method in class gov.sandia.cognition.framework.DefaultSemanticNetwork: Gets the total number of nodes in the network.
getNumNodes() - Method in interface gov.sandia.cognition.framework.SemanticNetwork: Gets the total number of nodes in the network.
getNumNodes() - Method in class gov.sandia.cognition.graph.DenseMemoryGraph
getNumNodes() - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Return the number of nodes
getNumNonZero() - Method in class gov.sandia.cognition.statistics.method.WilcoxonSignedRankConfidence.Statistic: Getter fir numNonZero
getNumParameters() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for numParameters
getNumParameters() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork: Gets the total number of parameters in the neural net, including the bias weights.
getNumParticles() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractParticleFilter
getNumParticles() - Method in interface gov.sandia.cognition.statistics.bayesian.ParticleFilter: Gets the number of particles
getNumPartitions() - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getNumPartitions() - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Return the number of partitions in this partitioning
getNumPoints() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Gets the number of points stored
getNumPositiveSign() - Method in class gov.sandia.cognition.statistics.method.FisherSignConfidence.Statistic: Getter for numPositiveSign
getNumRequestedClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the number of clusters that were requested.
getNumRequestedClusters() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the current number of clusters requested.
getNumRows() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getNumRows() - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getNumRows() - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Returns the number of rows in the Matrix
getNumRows() - Method in interface gov.sandia.cognition.math.matrix.Matrix: Returns the number of rows in the Matrix
getNumRows() - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix
getNumSamples() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for numSamples
getNumSamples() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for numSamples
getNumSamples() - Method in class gov.sandia.cognition.statistics.bayesian.ImportanceSampling: Getter for numSamples
getNumSamples() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling: Getter for numSamples
getNumSamples() - Method in class gov.sandia.cognition.statistics.method.ConfidenceInterval: Getter for numSamples
getNumSamples() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable: Getter for numSamples
getNumSplits() - Method in class gov.sandia.cognition.learning.experiment.RandomByTwoFoldCreator: Gets the number of splits to perform.
getNumStates() - Method in class gov.sandia.cognition.learning.algorithm.hmm.MarkovChain: Gets the number of states in the HMM.
getNumThreads() - Method in class gov.sandia.cognition.algorithm.AbstractParallelAlgorithm
getNumThreads() - Method in interface gov.sandia.cognition.algorithm.ParallelAlgorithm: Gets the number of threads in the thread pool.
getNumThreads(ParallelAlgorithm) - Static method in class gov.sandia.cognition.algorithm.ParallelUtil: Gets the number of threads in a ParallelAlgorithm by querying the thread pool
getNumThreads(ThreadPoolExecutor) - Static method in class gov.sandia.cognition.algorithm.ParallelUtil: Gets the number of threads in a ThreadPoolExecutor
getNumThreads() - Method in class gov.sandia.cognition.learning.algorithm.clustering.ParallelizedKMeansClusterer
getNumThreads() - Method in class gov.sandia.cognition.learning.algorithm.genetic.ParallelizedGeneticAlgorithm: Getter for #threads
getNumThreads() - Method in class gov.sandia.cognition.learning.algorithm.hmm.ParallelBaumWelchAlgorithm
getNumThreads() - Method in class gov.sandia.cognition.learning.algorithm.hmm.ParallelHiddenMarkovModel
getNumThreads() - Method in class gov.sandia.cognition.learning.experiment.ParallelLearnerValidationExperiment
getNumThreads() - Method in class gov.sandia.cognition.learning.function.cost.ParallelClusterDistortionMeasure
getNumThreads() - Method in class gov.sandia.cognition.learning.function.cost.ParallelizedCostFunctionContainer
getNumThreads() - Method in class gov.sandia.cognition.learning.function.cost.ParallelNegativeLogLikelihood
getNumThreads() - Method in class gov.sandia.cognition.statistics.bayesian.ParallelDirichletProcessMixtureModel
getNumThreads() - Method in class gov.sandia.cognition.text.topic.ParallelLatentDirichletAllocationVectorGibbsSampler
getNumTrials() - Method in class gov.sandia.cognition.learning.experiment.AbstractValidationFoldExperiment
getNumTrials() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment
getNumTrials() - Method in interface gov.sandia.cognition.learning.experiment.LearningExperiment: Gets the number of trials in the experiment.
getNumTrials() - Method in class gov.sandia.cognition.learning.experiment.OnlineLearnerValidationExperiment: Gets the number of trials.
getNumTrials() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.MultinomialBayesianEstimator: Getter for numTrials
getNumTrials() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution: Getter for numTrials
getNumTrials() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution: Getter for numTrials
getNumVectors() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorCollectionConverter: Gets the number of Vectors that this class converts
getObjectCount() - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets the number of objects that the relations are between.
getObjectCount() - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getObjective() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares: Gets the total objective, which is the squared error plus the regularization terms.
getObjective() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient: Gets the total objective, which is the mean squared error plus the regularization terms.
getObjects() - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets the set of objects that make up the nodes in the network.
getObjects() - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getObjectToOptimize() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractLogisticRegression: Getter for objectToOptimize
getObjectToOptimize() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractMinimizerBasedParameterCostMinimizer
getObjectToOptimize() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer: Getter for objectToOptimize
getObjectToOptimize() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression: Getter for objectToOptimize
getObjectToOptimize() - Method in interface gov.sandia.cognition.learning.algorithm.regression.ParameterCostMinimizer: Gets the object to optimize
getObservationModel() - Method in class gov.sandia.cognition.statistics.bayesian.ExtendedKalmanFilter: Getter for observationModel
getOffset() - Method in class gov.sandia.cognition.learning.function.scalar.LinearFunction: Gets the offset of the function, which is the b term in: f(x) = m*x + b.
getOptimalThreshold() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.Statistic: Getter for optimalThreshold
getOrCreateCogxel(SemanticIdentifier, CogxelFactory) - Method in interface gov.sandia.cognition.framework.CogxelState: Attempts to get an existing Cogxel for a given SemanticIdentifier.
getOrCreateCogxel(SemanticIdentifier, CogxelFactory) - Method in class gov.sandia.cognition.framework.lite.CogxelStateLite: Attempts to get an existing Cogxel for a given SemanticIdentifier.
getOriginalPoint() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.WolfeConditions: Getter for originalPoint
getOtherPoint() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineBracket: Getter for otherPoint
getOutlierPercent() - Method in class gov.sandia.cognition.learning.data.feature.StandardDistributionNormalizer.Learner: Sets the percentage of outliers to exclude from learning.
getOutLinks(SemanticLabel) - Method in class gov.sandia.cognition.framework.DefaultSemanticNetwork: Gets the outgoing links from a given node.
getOutLinks(SemanticLabel) - Method in interface gov.sandia.cognition.framework.SemanticNetwork: Gets the outgoing links from a given node.
getOutOfBagEstimate(int) - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractCategorizerOutOfBagStoppingCriteria: Gets the out-of-bag estimate distribution across categories for the training example with the given index.
getOutOfBagEstimate(int) - Method in class gov.sandia.cognition.learning.algorithm.ensemble.BaggingCategorizerLearner.OutOfBagErrorStoppingCriteria
getOutOfBagEstimate(int) - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner.OutOfBagErrorStoppingCriteria
getOutput() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation.Entry: Gets the output value of the entry as a boolean.
getOutput(InputType) - Method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTreeNode
getOutput(InputType) - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the local output of this node for the given input.
getOutput(InputType) - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeNode
getOutput() - Method in class gov.sandia.cognition.learning.data.DefaultInputOutputPair
getOutput() - Method in interface gov.sandia.cognition.learning.data.InputOutputPair: Gets the output.
getOutputCategory() - Method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTreeNode: Gets the output category for the node.
getOutputConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelInputOutputPairConverter: Gets the output converter
getOutputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModule: Gets the output converter that is used to map from the OutputType to Cogxels.
getOutputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactoryLearner: Gets the CogxelConverter used to convert OutputType to a CogxelState.
getOutputConverter() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleSettings: Gets the CogxelConverter used to convert OutputType to a CogxelState.
getOutputCounts(Collection<? extends InputOutputPair<?, OutputType>>) - Static method in class gov.sandia.cognition.learning.algorithm.tree.CategorizationTreeLearner: Creates a histogram of values based on the output values in the given collection of pairs.
getOutputDimensionality() - Method in interface gov.sandia.cognition.data.convert.vector.DataToVectorEncoder: Gets size of the the Vector created by the encoder.
getOutputDimensionality() - Method in class gov.sandia.cognition.data.convert.vector.NumberConverterToVectorAdapter: Gets the dimensionality of this encoder, which is 1.
getOutputDimensionality() - Method in class gov.sandia.cognition.data.convert.vector.NumberToVectorEncoder: Gets the dimensionality of the converter, which is 1.
getOutputDimensionality() - Method in class gov.sandia.cognition.data.convert.vector.UniqueBooleanVectorEncoder: Gets the dimensionality of the vector created by this converter, which is the number of possible values times the size of the boolean encoding.
getOutputDimensionality() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the dimensionality of the output vector to the pattern recognizer.
getOutputDimensionality() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the dimensionality of the output vector to the pattern recognizer.
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.pca.KernelPrincipalComponentsAnalysis.Function
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysisFunction: Returns the expected dimension of output Vectors
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.data.feature.FeatureHashing
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.MultivariateDiscriminant
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.ScalarBasisSet
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.SubVectorEvaluator
getOutputDimensionality() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork
getOutputDimensionality() - Method in interface gov.sandia.cognition.math.matrix.VectorOutputEvaluator: Gets the expected dimensionality of the output vector of the evaluator, if it is known.
getOutputDimensionality() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem
getOutputDimensionality() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform
getOutputDimensionality() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis.Result
getOutputIdentifiers() - Method in class gov.sandia.cognition.framework.lite.AbstractSemanticMemoryLite: Gets the ordered list of output identifiers.
getOutputLabels() - Method in interface gov.sandia.cognition.framework.lite.PatternRecognizerLite: Gets the labels for the dimensions of the output vector.
getOutputLabels() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizer: Gets the labels for the dimensions of the output vector.
getOutputLearner() - Method in class gov.sandia.cognition.learning.algorithm.InputOutputTransformedBatchLearner: Gets the unsupervised learning algorithm for creating the output transformation, which must be reversible for evaluation.
getOutputSumSquared() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Getter for outputSumSquared
getOutputVariance() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression: Getter for outputVariance
getOutputVariance() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression: Getter for outputVariance
getOutputVariance() - Method in class gov.sandia.cognition.statistics.bayesian.GaussianProcessRegression: Getter for outputVariance
getOverrelaxation() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the overrelaxation parameter for the algorithm.
getP() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution: Getter for p
getP() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution: Getter for p
getP() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution: Getter for p
getP() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution: Getter for p
getPairConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelWeightedInputOutputPairConverter: Getter for pairConverter
getPairwiseCost(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getPairwiseCost(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getPairwiseCost(int, LabelType, LabelType) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: This is the -log(getPairwisePotential(.)).
getPairwiseCost(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getPairwisePotential(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getPairwisePotential(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getPairwisePotential(int, LabelType, LabelType) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: Returns the pairwise cost of node i being assigned label_i and node j being assigned label_j.
getPairwisePotential(int, LabelType, LabelType) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getPairwisePotential(DirectedNodeEdgeGraph<NodeNameType>, int, LabelType, LabelType) - Method in interface gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction.PotentialHandler: Provide the pairwise potential for the specified edge
getPairwiseTest() - Method in class gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison: Getter for pairwiseTest
getPairwiseTestStatistics() - Method in class gov.sandia.cognition.statistics.method.AbstractPairwiseMultipleHypothesisComparison.Statistic: Getter for pairwiseTestStatistics
getParabolicInterpolator() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorBrent: Getter for parabolicInterpolator
getParameter() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.AbstractConjugatePriorBayesianEstimator
getParameter() - Method in interface gov.sandia.cognition.statistics.bayesian.conjugate.ConjugatePriorBayesianEstimator: Gets the Bayesian hyperparameter relationship between the conditional distribution and the conjugate prior distribution.
getParameterAdapters() - Method in interface gov.sandia.cognition.learning.parameter.ParameterAdaptable: Gets the collection of parameter adapters attached to this object.
getParameterAdapters() - Method in class gov.sandia.cognition.learning.parameter.ParameterAdaptableBatchLearnerWrapper
getParameterCount() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine: Gets the number of parameters for this factorization machine.
getParameterPrior() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractBayesianParameter: Getter for parameterPrior
getParameterPrior() - Method in interface gov.sandia.cognition.statistics.bayesian.BayesianParameter: Gets the Distribution of values that the parameter is assumed to take.
getParameterPrior() - Method in class gov.sandia.cognition.statistics.bayesian.DefaultBayesianParameter
getParameters() - Method in class gov.sandia.cognition.factory.ConstructorBasedFactory: Gets the parameters that are passed to the constructor to create new objects.
getParameters() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution: Getter for parameters
getParameters() - Method in class gov.sandia.cognition.statistics.distribution.DirichletDistribution: Getter for parameters
getParameters() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution: Getter for parameters
getParameters() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution: Getter for parameters
getParent() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode: Gets the parent node for this node.
getParent() - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the parent node for this node.
getParent() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the parent node of this node.
getParticlePctThreadhold() - Method in class gov.sandia.cognition.statistics.bayesian.SamplingImportanceResamplingParticleFilter: Getter for particlePctThreadhold
getPartition(NodeNameType) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getPartition(NodeNameType) - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Returns the partition id for the input node
getPartitionById(int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getPartitionById(int) - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Returns the partition id for the input node
getPartitioner() - Method in class gov.sandia.cognition.learning.experiment.RandomFoldCreator: Gets the randomized partitioner to use.
getPartitionMembers(int) - Method in class gov.sandia.cognition.graph.community.Louvain.LouvainHierarchy
getPartitionMembers(int) - Method in interface gov.sandia.cognition.graph.community.NodePartitioning: Returns the members of the ith partition
getPath(int) - Method in class gov.sandia.cognition.graph.GraphWalker: Returns the path traversed across numSteps steps of the walk from the current start node.
getPath(NodeNameType, int) - Method in class gov.sandia.cognition.graph.GraphWalker: Returns the path traversed across numSteps steps of the walk from startNode
getPercent() - Method in class gov.sandia.cognition.learning.algorithm.genetic.selector.TournamentSelector: Gets the percent of the population to select.
getPercentileFromSorted(List<? extends Number>, double) - Static method in class gov.sandia.cognition.math.UnivariateStatisticsUtil: Computes the percentile value of the given pre-sorted data in increasing order.
getPercentToSample() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the percentage of the total data to sample on each iteration.
getPercentToSample() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the percentage of the total data to sample on each iteration.
getPercentToSample() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.OnlineBaggingCategorizerLearner: Gets the percent of the data to attempt to sample for each ensemble member.
getPercentToSample() - Method in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner: Gets the percent of the dimensionality to sample.
getPerEdgeTriangleDensity(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the per-edge triangle density for the input edge
getPerformance() - Method in interface gov.sandia.cognition.algorithm.MeasurablePerformanceAlgorithm: Gets the name-value pair that describes the current performance of the algorithm.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the performance, which is the best score so far.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the performance, which is the number changed on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DirichletProcessClustering
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer: Gets the performance, which is the number changed on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the performance, which is the cost of the best genome.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron: Gets the performance, which is the error count on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelAdatron
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractMinimizerBasedParameterCostMinimizer: Gets the performance, which is the cost of the minimizer on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression: Gets the performance, which is the error count on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractRootFinder
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization
getPerformance() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the performance, which is the total change on the last iteration.
getPerformance() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer.Learner
getPerformance() - Method in class gov.sandia.cognition.statistics.bayesian.MetropolisHastingsAlgorithm
getPerformance() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.EMLearner
getPerformance() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.Learner
getPerformance() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.EMLearner
getPerformance() - Method in class gov.sandia.cognition.statistics.method.DistributionParameterEstimator
getPerformanceEvaluator() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the performance evaluator to apply to each fold.
getPerformanceEvaluator() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment: Gets the performance evaluator to apply to each fold.
getPerformanceEvaluator() - Method in class gov.sandia.cognition.learning.experiment.LearnerValidationExperiment: Gets the performance evaluator to apply to each fold.
getPerformanceEvaluator() - Method in class gov.sandia.cognition.learning.experiment.OnlineLearnerValidationExperiment: Gets the performance evaluator to apply to each fold.
getPerformanceEvaluator() - Method in class gov.sandia.cognition.learning.performance.AnytimeBatchLearnerValidationPerformanceReporter: Gets the performance evaluator.
getPerNodeBetweennessCentrality(NodeNameType) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the per-node betweenness centrality for the input node
getPerNodeBetweennessCentralityById(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the per-node betweenness centrality for the input node
getPerNodeEccentricity(NodeNameType) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the per-node eccentricity for the input node
getPerNodeEccentricityById(int) - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the per-node eccentricity for the input node
getPerturber() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the perturber.
getPerturber() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.MutationReproducer: Gets the perturber used for mutation.
getPhase() - Method in class gov.sandia.cognition.learning.function.scalar.CosineFunction: Getter for phase
getPhase() - Method in class gov.sandia.cognition.math.ComplexNumber: Computes the phase in radians of the complex number, sometimes called the angle.
getPivotMatrix() - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix.LU: Helper method converts P into a pivot matrix that can pre-multiply L*U.
getPoint() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution: Getter for point
getPointIndex() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the point index.
getPoints() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the list of points.
getPoints() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling: Getter for points
getPolynomials() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Regression: Getter for polynomials
getPopulation() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the population of genomes.
getPossibleLabels(int) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getPossibleLabels(int) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getPossibleLabels(int) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: Returns the set of labels that this message passer supports
getPossibleLabels(int) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getPossibleLabels(DirectedNodeEdgeGraph<NodeNameType>, int) - Method in interface gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction.PotentialHandler: Get the possible labels for the specified node
getPosteriorLogLikelihood() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.Sample: Gets the posterior log-likelihood.
getPostHocTest() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment: Getter for postHocTest
getPower() - Method in class gov.sandia.cognition.learning.function.distance.MinkowskiDistanceMetric: Gets the power used for the distance.
getPrecision() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getPrecision() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The precision value for the confusion matrix.
getPrecision() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution: Getter for precision
getPrecision() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution: Getter for precision
getPrecision() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution: Getter for precision
getPrecision() - Method in class gov.sandia.cognition.text.evaluation.DefaultPrecisionRecallPair
getPrecision() - Method in interface gov.sandia.cognition.text.evaluation.PrecisionRecallPair: Gets the precision.
getPredictedCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getPredictedCategories(Boolean) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getPredictedCategories() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the set of all the predicted categories.
getPredictedCategories(CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the predicted categories for a given actual category.
getPredictedCategories() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getPredictedCategories(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultConfusionMatrix
getPredictedCount(CategoryType) - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getPredictedCount(CategoryType) - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the total number of entries for the given predicted category.
getPredictionHorizion() - Method in class gov.sandia.cognition.learning.algorithm.SequencePredictionLearner: Gets the prediction horizon, which is the number of samples ahead in time that the learner is to predict.
getPredictionHorizon() - Method in class gov.sandia.cognition.learning.algorithm.TimeSeriesPredictionLearner: Getter for predictionHorizon
getPreprocessor() - Method in class gov.sandia.cognition.learning.function.categorization.CompositeCategorizer: Gets the preprocessor, which takes the input and produces an intermediate value that is then passed to the categorizer.
getPreviousParameter() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo: Getter for previousParameter
getPriorProbability(CategoryType) - Method in class gov.sandia.cognition.learning.algorithm.bayes.DiscreteNaiveBayesCategorizer: Returns the prior probability of the given category.
getPriors() - Method in class gov.sandia.cognition.learning.algorithm.bayes.VectorNaiveBayesCategorizer: Gets the prior distribution over the categories.
getPriorWeights() - Method in class gov.sandia.cognition.statistics.distribution.LinearMixtureModel: Getter for priorWeights
getPriorWeightSum() - Method in class gov.sandia.cognition.statistics.distribution.LinearMixtureModel: Computes the sum of the prior weights
getProbabilityCrossover() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.VectorizableCrossoverFunction: Getter for probabilityCrossover.
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.bayesian.AdaptiveRejectionSampling.UpperEnvelope
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel.DPMMCluster: Getter for probabilityFunction
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.ComputableDistribution: Gets the distribution function associated with this Distribution, either the PDF or PMF.
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.DataDistribution
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.DiscreteDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.CategoricalDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ChineseRestaurantProcess.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DirichletDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.DirichletDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultinomialDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateMixtureDensityModel
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateMixtureDensityModel.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariatePolyaDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateStudentTDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseWishartDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution.PMF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution.PDF
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getProbabilityFunction() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution.PMF
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.ProbabilityDensityFunction
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.ProbabilityMassFunction
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.SmoothUnivariateDistribution
getProbabilityFunction() - Method in interface gov.sandia.cognition.statistics.UnivariateProbabilityDensityFunction
getProcess() - Method in class gov.sandia.cognition.io.ProcessLauncher: Getter for process
getProcess() - Method in class gov.sandia.cognition.io.ProcessLauncherEvent: Getter for process
getProportionalGain() - Method in class gov.sandia.cognition.math.signals.PIDController: Getter for proportionalGain
getProportionIncorrectInSample() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner: Gets the proportion of incorrect examples to place in each sample.
getProposals() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling.DefaultUpdater: Getter for proposals
getPrototype() - Method in class gov.sandia.cognition.factory.PrototypeFactory: Gets the prototype object that is cloned to create new objects.
getPrototypes() - Method in class gov.sandia.cognition.learning.function.categorization.LinearMultiCategorizer: Gets the mapping of categories to prototypes.
getQ() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.Forgetron.Result: Gets the value Q updated by the algorithm.
getQ0() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear: Getter for q0
getQ1() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Linear: Getter for q1
getQ2() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Quadratic: Getter for q2
getQ3() - Method in class gov.sandia.cognition.learning.function.scalar.PolynomialFunction.Cubic: Getter for q3
getQuintiles() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for quintiles
getR() - Method in class gov.sandia.cognition.learning.algorithm.confidence.AdaptiveRegularizationOfWeights: Gets the regularization parameter.
getR() - Method in class gov.sandia.cognition.math.matrix.mtj.decomposition.CholeskyDecompositionMTJ: Getter for R
getR() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution: Getter for r.
getRadius() - Method in class gov.sandia.cognition.graph.GraphMetrics: Returns the radius for this graph.
getRadius() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Ballseptron: Gets the radius parameter.
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the random number generator.
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DirichletProcessClustering
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.clustering.initializer.AbstractMinDistanceFixedClusterInitializer
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.clustering.MiniBatchKMeansClusterer
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.OnlineBaggingCategorizerLearner
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.genetic.selector.TournamentSelector: Gets the random number generator being used.
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.OnlineKernelRandomizedBudgetPerceptron
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.svm.PrimalEstimatedSubGradient
getRandom() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization
getRandom() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo
getRandom() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractParticleFilter
getRandom() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.EMLearner
getRandom() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.EMLearner
getRandom() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getRandom() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getRandom() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler
getRandom() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis
getRandom() - Method in class gov.sandia.cognition.util.AbstractRandomized
getRandom() - Method in interface gov.sandia.cognition.util.Randomized: Gets the random number generator used by this object.
getRandomRange() - Method in class gov.sandia.cognition.learning.algorithm.clustering.initializer.NeighborhoodGaussianClusterInitializer: Getter for randomRange
getRank() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform: Gets the rank of the LSA.
getRate() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution: Getter for rate.
getRate() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution: Gets the rate parameter, which is just the inverse of the scale parameter.
getRate() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution: Getter for rate
getRealPart() - Method in class gov.sandia.cognition.math.ComplexNumber: Returns the real portion of the complex number, no computation needed
getRecall() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getRecall() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The recall value for the confusion matrix.
getRecall() - Method in class gov.sandia.cognition.text.evaluation.DefaultPrecisionRecallPair
getRecall() - Method in interface gov.sandia.cognition.text.evaluation.PrecisionRecallPair: Gets the recall.
getRecognizer() - Method in class gov.sandia.cognition.framework.lite.AbstractSemanticMemoryLite: Gets the pattern recognizer lite for the semantic memory lite.
getRecognizer() - Method in class gov.sandia.cognition.framework.lite.MutableSemanticMemoryLiteFactory: Gets the recognizer of the factory.
getRecognizer() - Method in class gov.sandia.cognition.framework.lite.SharedSemanticMemoryLiteSettings: Gets the pattern recognizer to use.
getReductionTest() - Method in class gov.sandia.cognition.learning.algorithm.regression.FletcherXuHybridEstimation: Getter for reduction test.
getReestimateAlpha() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel: Getter for reestimateAlpha
getReestimateInitialProbabilities() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm: Getter for reestimateInitialProbabilities
getReference() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getReference() - Method in interface gov.sandia.cognition.text.document.Document: Gets a reference to the location of the document so that it can be retrieved again later.
getReferenceURI() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getReferenceURI() - Method in interface gov.sandia.cognition.text.document.Document: Gets the reference to the location of the document as a URI.
getRegressionLearner() - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeLearner: Gets the regression learner that is to be used to fit a function approximator to the values in the tree.
getRegularization() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractLogisticRegression: Getter for regularization
getRegularization() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression: Getter for regularization
getRegularization() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression: Getter for regularization
getRegularization() - Method in class gov.sandia.cognition.learning.algorithm.regression.MultivariateLinearRegression: Getter for regularization
getRegularizationPenalty() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares: Gets the regularization penalty term in the error for the objective.
getRegularizationPenalty() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient: Gets the regularization penalty term for the current result.
getRegularizationWeight() - Method in class gov.sandia.cognition.learning.algorithm.svm.PrimalEstimatedSubGradient: Gets the regularization weight (lambda) assigned to the regularization term of the algorithm.
getRelation(ObjectType, ObjectType) - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets a relation between the source and the target.
getRelation(IndexedTerm, IndexedTerm) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getRelationSource(RelationType) - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets the source of a given relation.
getRelationSource(IndexedTermSimilarityRelation) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getRelationTarget(RelationType) - Method in interface gov.sandia.cognition.text.relation.RelationNetwork: Gets the target of a given relation.
getRelationTarget(IndexedTermSimilarityRelation) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork
getRemovalThreshold() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClustererWithRemoval: Getter for removalThreshold
getReproducer() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm: Gets the reproducer.
getReproducers() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.MultiReproducer: Gets the reproducers to use for reproducing.
getRequestedRank() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis: Gets the requested rank for the analysis.
getRequestedRank() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis: Gets the requested rank to conduct the analysis for.
getResponsibilities() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the responsibility values.
getResult() - Method in interface gov.sandia.cognition.algorithm.AnytimeAlgorithm: Gets the current result of the algorithm.
getResult() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AgglomerativeClusterer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DirichletProcessClustering
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.KMeansClusterer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractBaggingLearner: Gets the ensemble created by this learner.
getResult() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdaBoost
getResult() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.IVotingCategorizerLearner
getResult() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.MultiCategoryAdaBoost
getResult() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner
getResult() - Method in class gov.sandia.cognition.learning.algorithm.genetic.GeneticAlgorithm
getResult() - Method in class gov.sandia.cognition.learning.algorithm.hmm.AbstractBaumWelchAlgorithm
getResult() - Method in class gov.sandia.cognition.learning.algorithm.minimization.AbstractAnytimeFunctionMinimizer: Getter for result
getResult() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver
getResult() - Method in class gov.sandia.cognition.learning.algorithm.pca.AbstractPrincipalComponentsAnalysis
getResult() - Method in class gov.sandia.cognition.learning.algorithm.pca.GeneralizedHebbianAlgorithm
getResult() - Method in interface gov.sandia.cognition.learning.algorithm.pca.PrincipalComponentsAnalysis: Gets the VectorFunction that maps from the input space to the reduced output space of "getNumComponents" dimensions.
getResult() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron
getResult() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelAdatron
getResult() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron
getResult() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractLogisticRegression
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractMinimizerBasedParameterCostMinimizer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelWeightedRobustRegression
getResult() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression
getResult() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractBracketedRootFinder
getResult() - Method in class gov.sandia.cognition.learning.algorithm.root.MinimizerBasedRootFinder
getResult() - Method in class gov.sandia.cognition.learning.algorithm.root.RootBracketExpander
getResult() - Method in class gov.sandia.cognition.learning.algorithm.root.RootFinderNewtonsMethod
getResult() - Method in class gov.sandia.cognition.learning.algorithm.root.RootFinderSecantMethod
getResult() - Method in class gov.sandia.cognition.learning.algorithm.svm.PrimalEstimatedSubGradient
getResult() - Method in class gov.sandia.cognition.learning.algorithm.svm.SequentialMinimalOptimization
getResult() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation
getResult() - Method in class gov.sandia.cognition.learning.function.vector.GaussianContextRecognizer.Learner
getResult() - Method in class gov.sandia.cognition.math.LentzMethod
getResult() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractMarkovChainMonteCarlo
getResult() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.EMLearner
getResult() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.Learner
getResult() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.EMLearner
getResult() - Method in class gov.sandia.cognition.statistics.method.DistributionParameterEstimator
getResult() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler
getResult() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis
getResultCost() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer: Getter for resultCost
getReverse() - Method in class gov.sandia.cognition.evaluator.ForwardReverseEvaluatorPair: Gets the reverse evaluator that maps output type to input type.
getRoot() - Method in class gov.sandia.cognition.math.geometry.Quadtree: Gets the root node of the quadtree.
getRootBracket() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractBracketedRootFinder: Getter for rootBracket.
getRootMeanSquaredError() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for rootMeanSquaredError
getRootNode() - Method in class gov.sandia.cognition.learning.algorithm.tree.DecisionTree: Gets the root node of the decision tree.
getRow(int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix
getRow(int) - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getRow(int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Gets the specified row from the zero-based index and returns a vector that corresponds to that column
getRow(int) - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the specified row from the zero-based index and returns a vector that corresponds to that column
getRow(int) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractSparseMatrix
getRow(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix
getRow(int) - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getRow(int) - Method in class gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix: Gets the specified row of the matrix, using MTJ's internal routine to speed things up.
getRowIndex() - Method in interface gov.sandia.cognition.math.matrix.MatrixEntry: Gets the current row index to which this entry points
getRowIndex() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Getter for rowIndex.
getRowIndex() - Method in interface gov.sandia.cognition.math.matrix.TwoMatrixEntry: Gets the current row index to which this entry points
getRowInto(int, Vector) - Method in class gov.sandia.cognition.math.matrix.AbstractMatrix: Internal function that writes the row onto the destinationVector.
getS() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractSingularValueDecomposition
getS() - Method in interface gov.sandia.cognition.math.matrix.decomposition.SingularValueDecomposition: Gets the PSD diagonal matrix containing the sorted singular values
getSampler() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling.DefaultUpdater: Getter for sampler
getSampleSize() - Method in class gov.sandia.cognition.learning.algorithm.svm.PrimalEstimatedSubGradient: Gets the sample size, which is the number of examples sampled without replacement on each iteration of the algorithm.
getSampleVariance() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.SufficientStatistic: Gets the sample variance, which may be a biased estimate.
getSamplingError(double) - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable: Gets the 95% confidence interval estimated sampling error associated with this empirical random variable.
getScalarFunction() - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeNode: Gets the scalar function applied to the input when the node is a leaf node.
getScalarFunction() - Method in class gov.sandia.cognition.learning.function.vector.ElementWiseDifferentiableVectorFunction
getScalarFunction() - Method in class gov.sandia.cognition.learning.function.vector.ElementWiseVectorFunction: Getter for scalarFunction
getScale() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Computes the scale component for the inverse-gamma distribution
getScale() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling.DefaultUpdater: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution: Getter for scale.
getScale() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution: Getter for scale
getScale() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution: Getter for scale.
getScale() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution: Getter for scale
getScaleFactor() - Method in class gov.sandia.cognition.learning.function.vector.LinearVectorFunction: Gets the linear scale factor.
getScaleSqrt() - Method in class gov.sandia.cognition.statistics.distribution.InverseWishartDistribution: Getter for scaleSqrt
getScoresForAllNodes(NodeNameType) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph)
getScoresForAllNodes(List<NodeNameType>) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seeds
getScoresForAllNodes(NodeNameType, boolean) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph)
getScoresForAllNodes(List<NodeNameType>, boolean) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seeds
getScoresForAllNodesById(int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph)
getScoresForAllNodesById(int, boolean) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph)
getScoresForAllNodesByIdMultirun(int, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed index.
getScoresForAllNodesByIdMultirun(List<Integer>, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed index.
getScoresForAllNodesByIds(List<Integer>) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed indices
getScoresForAllNodesByIds(List<Integer>, boolean) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed indices
getScoresForAllNodesMultirun(NodeNameType, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed.
getScoresForAllNodesMultirun(List<NodeNameType>, int) - Method in class gov.sandia.cognition.graph.community.PersonalizedPageRank: Returns the vector of all scores for all nodes in the graph (order determined by node order as stored in the graph) as specified for the input seed index.
getSecond() - Method in class gov.sandia.cognition.learning.algorithm.CompositeBatchLearnerPair
getSecond() - Method in class gov.sandia.cognition.learning.algorithm.genetic.EvaluatedGenome: The second entry in the pair is the cost.
getSecond() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression.Function
getSecond() - Method in class gov.sandia.cognition.learning.data.AbstractInputOutputPair: Gets the output, which is the second element in the pair.
getSecond() - Method in class gov.sandia.cognition.learning.data.AbstractTargetEstimatePair: Gets the estimate, which is the second element in the pair.
getSecond() - Method in class gov.sandia.cognition.learning.data.AbstractValueDiscriminantPair
getSecond() - Method in class gov.sandia.cognition.learning.data.DefaultWeightedValueDiscriminant
getSecond() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector2
getSecond() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getSecond() - Method in class gov.sandia.cognition.text.evaluation.DefaultPrecisionRecallPair: Gets the second element, which is the recall.
getSecond() - Method in class gov.sandia.cognition.util.DefaultKeyValuePair
getSecond() - Method in class gov.sandia.cognition.util.DefaultPair: Gets the second object.
getSecond() - Method in class gov.sandia.cognition.util.DefaultTemporalValue: Gets the second value fo the pair, which is the value.
getSecond() - Method in class gov.sandia.cognition.util.DefaultTriple
getSecond() - Method in interface gov.sandia.cognition.util.Pair: Gets the second object.
getSecond() - Method in interface gov.sandia.cognition.util.Triple: Gets the second object.
getSecondChild() - Method in class gov.sandia.cognition.learning.algorithm.clustering.hierarchy.BinaryClusterHierarchyNode: Gets the second child node, if there is one.
getSecondConverter() - Method in class gov.sandia.cognition.framework.learning.converter.AbstractCogxelPairConverter: Getter for secondConverter
getSecondInternalEntry() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: getter for secondInternalEntry
getSecondInternalEntry() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator: getter for secondInternalEntry
getSecondIterator() - Method in class gov.sandia.cognition.math.matrix.MatrixUnionIterator: getter for secondIterator
getSecondIterator() - Method in class gov.sandia.cognition.math.matrix.VectorUnionIterator: getter for secondIterator
getSecondLearner() - Method in class gov.sandia.cognition.learning.algorithm.CompositeBatchLearnerPair: Gets the second learner that is applied to the output of the first learner.
getSecondMatrix() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Getter for secondMatrix.
getSecondsPart() - Method in class gov.sandia.cognition.time.DefaultDuration
getSecondsPart() - Method in interface gov.sandia.cognition.time.Duration: Gets the standard seconds part of the time.
getSecondValue() - Method in class gov.sandia.cognition.math.matrix.DefaultTwoVectorEntry: Gets the entry value for the second underlying vector
getSecondValue() - Method in class gov.sandia.cognition.math.matrix.mtj.TwoMatrixEntryMTJ: Gets the value from the second underlying matrix.
getSecondValue() - Method in interface gov.sandia.cognition.math.matrix.TwoMatrixEntry: Gets the second value to which this entry points
getSecondValue() - Method in interface gov.sandia.cognition.math.matrix.TwoVectorEntry: Gets the second value to which this entry points
getSecondVector() - Method in class gov.sandia.cognition.math.matrix.DefaultTwoVectorEntry: Getter for secondVector.
getSeedScale() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner: Gets the seed initialization scale.
getSelector() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.CrossoverReproducer: Gets the selector.
getSelector() - Method in class gov.sandia.cognition.learning.algorithm.genetic.reproducer.MutationReproducer: Gets the selector used to select the population.
getSelfDivergence() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the value used for self-divergence, which controls how many clusters are generated.
getSemanticIdentifier() - Method in interface gov.sandia.cognition.framework.Cogxel: Gets the SemanticIdentifier for the Cogxel.
getSemanticIdentifier() - Method in class gov.sandia.cognition.framework.DefaultCogxel: Gets the SemanticIdentifier for the Cogxel.
getSemanticIdentifierMap() - Method in interface gov.sandia.cognition.framework.CognitiveModel: Gets teh semantic identifier database used by the model.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.AbstractCogxelConverter
getSemanticIdentifierMap() - Method in interface gov.sandia.cognition.framework.learning.converter.CogxelConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelDoubleConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelMatrixConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorCollectionConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelVectorConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelWeightedInputOutputPairConverter: Gets the SemanticIdentifierMap used by this converter.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.lite.AbstractCognitiveModelLite: Gets teh semantic identifier database used by the model.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.lite.AbstractSemanticMemoryLite: Gets the semantic identifier map being used.
getSemanticIdentifierMap() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedPerceptionModule: Getter for semanticIdentifierMap
getSemanticLabel() - Method in interface gov.sandia.cognition.framework.Cogxel: Gets the SemanticLabel for the Cogxel.
getSemanticLabel() - Method in class gov.sandia.cognition.framework.DefaultCogxel: Gets the SemanticLabel for the Cogxel.
getSensitivity() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getSensitivity() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The sensitivity value for the confusion matrix.
getSettings() - Method in interface gov.sandia.cognition.framework.CognitiveModule: Gets the settings for the module, which can be used to create another instantation of a module.
getSettings() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModule: Gets the settings for the module, which can be used to create another instantation of a module.
getSettings() - Method in class gov.sandia.cognition.framework.learning.EvaluatorBasedCognitiveModuleFactory: Gets the settings of the module created by the factory.
getSettings() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedPerceptionModule: Returns null because this module has no settings.
getSettings() - Method in class gov.sandia.cognition.framework.lite.MutableSemanticMemoryLite: Gets the pattern recognizer.
getSettings() - Method in class gov.sandia.cognition.framework.lite.MutableSemanticMemoryLiteFactory: Gets the settings of the factory.
getSettings() - Method in class gov.sandia.cognition.framework.lite.SharedSemanticMemoryLite: Gets the settings for the module, which can be used to create another instantation of a module.
getSettings() - Method in class gov.sandia.cognition.framework.lite.SharedSemanticMemoryLiteFactory: Gets the settings of the factory.
getSettings() - Method in class gov.sandia.cognition.framework.lite.VectorBasedPerceptionModule: Returns null because this module has no settings.
getShape() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Computes the shape component for the inverse-gamma distribution
getShape() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator: Gets the shape of the conditional distribution
getShape() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.NormalInverseGammaDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution: Getter for shape
getShape() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution: Getter for shape
getSharedModuleFactory() - Method in class gov.sandia.cognition.framework.io.CSVDefaultCognitiveModelLiteHandler: Gets the sharable module factory that has been read in.
getShortClassName(Object) - Static method in class gov.sandia.cognition.util.ObjectUtil: Gets a short version of the Class name, so that gov.sandia.cognition.util.ObjectUtil$InternalClass will be returned as "ObjectUtil$InternalClass", for example
getShortClassName(Class<?>) - Static method in class gov.sandia.cognition.util.ObjectUtil: Gets a short version of the Class name, so that gov.sandia.cognition.util.ObjectUtil$InternalClass will be returned as "ObjectUtil$InternalClass", for example
getSigma() - Method in class gov.sandia.cognition.learning.function.kernel.RadialBasisKernel: Gets the sigma value that controls the bandwidth of the kernel.
getSimilarities() - Method in class gov.sandia.cognition.learning.algorithm.clustering.AffinityPropagation: Gets the array of similarities.
getSimilarities() - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork: Gets the similarities between terms.
getSimilarity() - Method in class gov.sandia.cognition.text.term.relation.IndexedTermSimilarityRelation: Gets the similarity between the two terms.
getSimilarity(Term, Term) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork: Gets the similarity between the two given terms.
getSimilarity(IndexedTerm, IndexedTerm) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork: Gets the similarity between the two given terms.
getSimilarity(int, int) - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork: Gets the similarity between the two given terms.
getSimilarityFunction() - Method in class gov.sandia.cognition.text.term.relation.TermVectorSimilarityNetworkCreator: Gets the similarity function between term vectors used to determine the similarity between two terms.
getSingularValues() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform: Gets the diagonal matrix of singular values.
getSize() - Method in class gov.sandia.cognition.learning.data.feature.RandomSubspace: Gets the size of the subspace that will be created.
getSize() - Method in class gov.sandia.cognition.text.term.filter.NGramFilter: Gets the size of the n-gram created by the filter.
getSkewness() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for skewness
getSlope() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.InputOutputSlopeTriplet: Getter for slope
getSlope() - Method in class gov.sandia.cognition.learning.function.scalar.LinearFunction: Gets the slope of the function, which is the m term in: f(x) = m*x + b.
getSlopeCondition() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.WolfeConditions: Getter for slopeCondition
getSmoothingWindowSize() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractCategorizerOutOfBagStoppingCriteria: Gets the size of the smoothing window.
getSortedROCData() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic: Getter for sortedROCData
getSource() - Method in class gov.sandia.cognition.text.relation.AbstractRelation: Gets the source object of the relation.
getSparseDefault() - Static method in class gov.sandia.cognition.math.matrix.MatrixFactory: Gets the default implementation of MatrixFactory for sparse matrices.
getSparseDefault() - Static method in class gov.sandia.cognition.math.matrix.VectorFactory: Gets the default implementation of the SparseVectorFactory.
getSpatialIndex() - Method in class gov.sandia.cognition.learning.algorithm.clustering.DBSCANClusterer: Gets the spatial index.
getSpecificity() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getSpecificity() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: The specificity value for the confusion matrix.
getSplitThreshold() - Method in class gov.sandia.cognition.math.geometry.Quadtree: Gets the split threshold for the tree.
getSquashingFunction() - Method in class gov.sandia.cognition.learning.function.vector.DifferentiableGeneralizedLinearModel
getSquashingFunction() - Method in class gov.sandia.cognition.learning.function.vector.GeneralizedLinearModel: Getter for squashingFunction
getSquashingFunction() - Method in class gov.sandia.cognition.learning.function.vector.ThreeLayerFeedforwardNeuralNetwork: Getter for squashingFunction
getStandardDeviation() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian: Gets the standard deviation, which is the square root of the variance.
getStandardError() - Method in class gov.sandia.cognition.statistics.method.NemenyiConfidence.Statistic: Getter for standardError
getStandardErrors() - Method in class gov.sandia.cognition.statistics.method.TukeyKramerConfidence.Statistic: Getter for standardErrors
getStart() - Method in class gov.sandia.cognition.text.AbstractOccurrenceInText
getStart() - Method in interface gov.sandia.cognition.text.OccurrenceInText: Gets the starting index of the occurrence in the text.
getState() - Method in class gov.sandia.cognition.evaluator.AbstractStatefulEvaluator
getState() - Method in interface gov.sandia.cognition.evaluator.StatefulEvaluator: Gets the current state of the evaluator.
getState() - Method in class gov.sandia.cognition.framework.CognitiveModelStateChangeEvent: Gets the new state of the model.
getStateDimensionality() - Method in class gov.sandia.cognition.math.signals.LinearDynamicalSystem: Gets the dimensionality of the state.
getStatefulEvaluator() - Method in class gov.sandia.cognition.framework.learning.StatefulEvaluatorBasedCognitiveModule: Gets the StatefulEvaluator used by the module.
getStateVector() - Method in class gov.sandia.cognition.framework.lite.SimplePatternRecognizerState: Gets the state vector stored in the object, which contains the main state data of the recognizer.
getStatisticalTest() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the statistical test to use to determine if the two learners are significantly different.
getStatistics() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the performance evaluations for the trials of the experiment.
getStatistics() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment: Gets the performance evaluations for the trials of the experiment.
getStatistics() - Method in class gov.sandia.cognition.learning.experiment.LearnerValidationExperiment: Gets the performance evaluations for the trials of the experiment.
getStatistics() - Method in class gov.sandia.cognition.learning.experiment.OnlineLearnerValidationExperiment: Gets the performance evaluations for the trials of the experiment.
getSteadyStateDistribution() - Method in class gov.sandia.cognition.learning.algorithm.hmm.MarkovChain: Returns the steady-state distribution of the state distribution.
getStopList() - Method in class gov.sandia.cognition.text.term.filter.StopListFilter: Gets the stop list used by the filter.
getStoppingCriterion() - Method in class gov.sandia.cognition.learning.algorithm.clustering.MiniBatchKMeansClusterer: Get the stopping criterion for this clusterer.
getSubCollectionsCount() - Method in class gov.sandia.cognition.collection.DefaultMultiCollection
getSubCollectionsCount() - Method in interface gov.sandia.cognition.collection.MultiCollection: Gets the number of sub-collections in the multi-collection.
getSubCollectionsCount() - Method in class gov.sandia.cognition.collection.RangeExcludedArrayList
getSubDimensionality(int) - Method in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner: Gets the dimensionality of the subspace based on the full dimensionality.
getSubIndices() - Method in class gov.sandia.cognition.learning.function.vector.SubVectorEvaluator: Gets the array of indices used to create the sub-vector.
getSubjectCount() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for subjectCount
getSubjectCount() - Method in class gov.sandia.cognition.statistics.method.NemenyiConfidence.Statistic: Getter for subjectCount
getSubjectCounts() - Method in class gov.sandia.cognition.statistics.method.TukeyKramerConfidence.Statistic: Getter for subjectCounts
getSubLearner() - Method in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner: Gets the learner used to learn a threshold function over the subspace.
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DenseMatrix: Gets the embedded submatrix inside of the Matrix, specified by the inclusive, zero-based indices such that the result matrix will have size (maxRow-minRow+1) x (maxColum-minCcolumn+1)
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.custom.DiagonalMatrix
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.custom.SparseMatrix: Gets the embedded submatrix inside of the Matrix, specified by the inclusive, zero-based indices such that the result matrix will have size (maxRow-minRow+1) x (maxColum-minCcolumn+1)
getSubMatrix(int, int, int, int) - Method in interface gov.sandia.cognition.math.matrix.Matrix: Gets the embedded submatrix inside of the Matrix, specified by the inclusive, zero-based indices such that the result matrix will have size (maxRow-minRow+1) x (maxColum-minCcolumn+1)
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.DenseMatrix
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.DiagonalMatrixMTJ
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix
getSubMatrix(int, int, int, int) - Method in class gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix
getSubMatrixInto(int, int, int, int, AbstractMTJMatrix) - Method in class gov.sandia.cognition.math.matrix.mtj.AbstractMTJMatrix: Internal routine for storing a submatrix into and AbstractMTJMatrix.
getSuccessors(NodeNameType) - Method in class gov.sandia.cognition.graph.DenseMemoryGraph
getSuccessors(NodeNameType) - Method in interface gov.sandia.cognition.graph.DirectedNodeEdgeGraph: Returns all the nodes this node connects to (outgoing edges only).
getSuccessorsWithWeights(NodeNameType) - Method in interface gov.sandia.cognition.graph.DirectedWeightedNodeEdgeGraph: Returns all the nodes this node connects to with edge weights (outgoing edges only).
getSuccessorsWithWeights(NodeNameType) - Method in class gov.sandia.cognition.graph.WeightedDenseMemoryGraph: Execution: O(log m + d) where d is the degree of the specified node (which can be O(m) but is usually O(1)).
getSufficientDecrease() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineMinimizerBacktracking: Getter for sufficientDecrease
getSum() - Method in class gov.sandia.cognition.math.RingAccumulator: Returns the sum object underlying the accumulator.
getSummaries() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the summaries of the experiment.
getSummaries() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment.Result: Gets the summary of performance for the learners.
getSummarizer() - Method in class gov.sandia.cognition.learning.experiment.LearnerComparisonExperiment: Gets the summarizer of the performance evaluations.
getSummarizer() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment: Gets the summarizer of the performance evaluations.
getSummarizer() - Method in class gov.sandia.cognition.learning.experiment.LearnerValidationExperiment: Gets the summarizer of the performance evaluations.
getSummarizer() - Method in class gov.sandia.cognition.learning.experiment.OnlineLearnerValidationExperiment: Gets the summarizer of the performance evaluations.
getSummary() - Method in class gov.sandia.cognition.learning.experiment.LearnerRepeatExperiment: Gets the summary of the experiment.
getSummary() - Method in class gov.sandia.cognition.learning.experiment.LearnerValidationExperiment: Gets the summary of the experiment.
getSummary() - Method in class gov.sandia.cognition.learning.experiment.OnlineLearnerValidationExperiment: Gets the summary of the experiment.
getSumSquaredDifferences() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatistic: Getter for sumSquaredDifferences
getSumSquaredDifferences() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.SufficientStatistic: Gets the sum of squared differences from the mean.
getSumSquaredDifferencesInverse() - Method in class gov.sandia.cognition.statistics.distribution.MultivariateGaussian.SufficientStatisticCovarianceInverse: Getter for sumSquaredDifferences
getSupervisedLearner() - Method in class gov.sandia.cognition.learning.algorithm.TimeSeriesPredictionLearner: Getter for supervisedLearner
getSupportsMap() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelAdatron: Gets the mapping of examples to weight objects (support vectors).
getSupportsMap() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.kernel.KernelPerceptron: Gets the mapping of examples to weight objects (support vectors).
getSupportsMap() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelBasedIterativeRegression: Gets the mapping of examples to weight objects (support vectors).
getSupportsMap() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the mapping of examples to weight objects (support vectors).
getSynonyms() - Method in class gov.sandia.cognition.text.term.filter.SynonymFilter: Gets the mapping of terms to their synonyms.
getT() - Method in class gov.sandia.cognition.statistics.method.StudentTConfidence.Statistic: Getter for t
getT() - Method in class gov.sandia.cognition.statistics.method.WilcoxonSignedRankConfidence.Statistic: Getter for T
getTarget() - Method in class gov.sandia.cognition.learning.algorithm.root.SolverFunction: Getter for target
getTarget() - Method in class gov.sandia.cognition.learning.data.DefaultTargetEstimatePair: Gets the target, which is the ground-truth or actual value.
getTarget() - Method in interface gov.sandia.cognition.learning.data.TargetEstimatePair: Gets the target, which is the ground-truth or actual value.
getTarget() - Method in class gov.sandia.cognition.text.relation.AbstractRelation: Sets the target object of the relation.
getTargetConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelTargetEstimatePairConverter: Gets the converter for the target value.
getTargetEstimateCorrelation() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for targetEstimateCorrelation
getTargetInput() - Method in class gov.sandia.cognition.math.signals.PIDController: Getter for targetInput.
getTemperature() - Method in class gov.sandia.cognition.learning.algorithm.annealing.SimulatedAnnealer: Gets the current temperature of the system.
getTerm(int) - Method in class gov.sandia.cognition.text.term.AbstractTermIndex
getTerm() - Method in class gov.sandia.cognition.text.term.DefaultIndexedTerm
getTerm(int) - Method in class gov.sandia.cognition.text.term.DefaultTermNGram
getTerm() - Method in class gov.sandia.cognition.text.term.DefaultTermOccurrence
getTerm() - Method in interface gov.sandia.cognition.text.term.IndexedTerm: Gets the term associated with the index.
getTerm(int) - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the term associated with the given index.
getTerm(int) - Method in interface gov.sandia.cognition.text.term.TermNGram: Gets the i-th term in the n-gram.
getTerm() - Method in interface gov.sandia.cognition.text.term.TermOccurrence: Gets the term that occurred in the text.
getTerm() - Method in class gov.sandia.cognition.text.token.DefaultToken
getTermBasis() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform: Gets the matrix of orthogonal term column vectors.
getTermCount() - Method in class gov.sandia.cognition.text.term.DefaultTermIndex
getTermCount() - Method in class gov.sandia.cognition.text.term.DefaultTermNGram
getTermCount() - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets the number of terms.
getTermCount() - Method in interface gov.sandia.cognition.text.term.TermNGram: Gets the number of terms in the n-gram.
getTermCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the number of terms in the dataset.
getTermCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the number of terms in the dataset.
getTermDocumentFrequencies() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractFrequencyBasedGlobalTermWeighter: Gets the vector containing the number of documents that each term appears in.
getTermEntropiesSum() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractEntropyBasedGlobalTermWeighter: Gets the vector containing the sum of term the entropies.
getTermGlobalFrequencies() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractFrequencyBasedGlobalTermWeighter: Gets the vector containing the number of times that each term appears.
getTermIndex() - Method in class gov.sandia.cognition.text.term.relation.MatrixBasedTermSimilarityNetwork: Gets the index of terms.
getTermIndex() - Method in class gov.sandia.cognition.text.term.vector.BagOfWordsTransform: Gets the term index that the transform uses to map terms to their vector indices.
getTermList() - Method in class gov.sandia.cognition.text.term.DefaultTermIndex: Sets the list of terms, ordered by index.
getTermList() - Method in class gov.sandia.cognition.text.term.DefaultTermNGram
getTermList() - Method in interface gov.sandia.cognition.text.term.TermNGram: Gets the list of terms in the n-gram.
getTermMap() - Method in class gov.sandia.cognition.text.term.DefaultTermIndex: Gets the mapping of terms to their indices.
getTerms() - Method in class gov.sandia.cognition.text.term.DefaultTermCounts
getTerms() - Method in class gov.sandia.cognition.text.term.DefaultTermIndex
getTerms() - Method in class gov.sandia.cognition.text.term.DefaultTermNGram: Gets the terms that make up the n-gram.
getTerms() - Method in interface gov.sandia.cognition.text.term.TermCounts: Gets the set of all terms the counts are over.
getTerms() - Method in interface gov.sandia.cognition.text.term.TermIndex: Gets all of the terms in the index.
getTermToCountMap() - Method in class gov.sandia.cognition.text.term.DefaultTermCounts: Gets the mapping of terms to their respective counts.
getTermVector(int) - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform: Gets the i-th orthogonal term vector that makes up the basis for the transform.
getTestingSet() - Method in class gov.sandia.cognition.learning.data.DefaultPartitionedDataset
getTestingSet() - Method in interface gov.sandia.cognition.learning.data.PartitionedDataset: Gets the testing dataset.
getTestStatistic() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic
getTestStatistic(int, int) - Method in class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.AnalysisOfVarianceOneWay.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.ChiSquareConfidence.Statistic
getTestStatistic() - Method in interface gov.sandia.cognition.statistics.method.ConfidenceStatistic: Gets the statistic from which we compute the null-hypothesis probability.
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.FisherSignConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.GaussianConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.KolmogorovSmirnovConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.MannWhitneyUConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getTestStatistic(int, int) - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getTestStatistic(int, int) - Method in interface gov.sandia.cognition.statistics.method.MultipleHypothesisComparison.Statistic: Gets the test statistic associated with the (i,j) treatment comparison
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.StudentTConfidence.Statistic
getTestStatistic() - Method in class gov.sandia.cognition.statistics.method.WilcoxonSignedRankConfidence.Statistic
getTestVector() - Method in class gov.sandia.cognition.statistics.ChiSquaredSimilarity: Basic getter for the testing vector.
getText() - Method in class gov.sandia.cognition.text.DefaultTextual: Gets the text value in this object.
getText() - Method in class gov.sandia.cognition.text.document.DefaultDateField
getText() - Method in class gov.sandia.cognition.text.document.DefaultTextField
getText() - Method in interface gov.sandia.cognition.text.document.Field: Gets the full text of the field.
getText() - Method in class gov.sandia.cognition.text.term.DefaultTerm: Gets the text of the term.
getText() - Method in interface gov.sandia.cognition.text.Textual: Get the text part of this object.
getText() - Method in class gov.sandia.cognition.text.token.DefaultToken
getText() - Method in interface gov.sandia.cognition.text.token.Token: Gets the text of the token.
getThird() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getThird() - Method in class gov.sandia.cognition.util.DefaultTriple
getThird() - Method in interface gov.sandia.cognition.util.Triple: Gets the third object.
getThreadPool() - Method in class gov.sandia.cognition.algorithm.AbstractParallelAlgorithm
getThreadPool() - Method in interface gov.sandia.cognition.algorithm.ParallelAlgorithm: Gets the thread pool for the algorithm to use.
getThreadPool() - Method in class gov.sandia.cognition.learning.algorithm.clustering.ParallelizedKMeansClusterer
getThreadPool() - Method in class gov.sandia.cognition.learning.algorithm.genetic.ParallelizedGeneticAlgorithm: Getter for threadPool
getThreadPool() - Method in class gov.sandia.cognition.learning.algorithm.hmm.ParallelBaumWelchAlgorithm
getThreadPool() - Method in class gov.sandia.cognition.learning.algorithm.hmm.ParallelHiddenMarkovModel
getThreadPool() - Method in class gov.sandia.cognition.learning.experiment.ParallelLearnerValidationExperiment
getThreadPool() - Method in class gov.sandia.cognition.learning.function.cost.ParallelClusterDistortionMeasure
getThreadPool() - Method in class gov.sandia.cognition.learning.function.cost.ParallelizedCostFunctionContainer
getThreadPool() - Method in class gov.sandia.cognition.learning.function.cost.ParallelNegativeLogLikelihood
getThreadPool() - Method in class gov.sandia.cognition.statistics.bayesian.ParallelDirichletProcessMixtureModel
getThreadPool() - Method in class gov.sandia.cognition.text.topic.ParallelLatentDirichletAllocationVectorGibbsSampler
getThreshold() - Method in class gov.sandia.cognition.learning.function.categorization.AbstractThresholdBinaryCategorizer: Getter for threshold
getThreshold() - Method in class gov.sandia.cognition.learning.function.categorization.KernelBinaryCategorizer: Gets the threshold, which is the negative of the bias.
getThreshold() - Method in class gov.sandia.cognition.learning.function.categorization.LinearBinaryCategorizer: Gets the threshold, which is the negative of the bias.
getThreshold() - Method in interface gov.sandia.cognition.learning.function.categorization.ThresholdBinaryCategorizer: Gets the threshold between the two categories used in binary categorization.
getThreshold() - Method in class gov.sandia.cognition.learning.function.scalar.ThresholdFunction: Getter for threshold
getTime() - Method in class gov.sandia.cognition.util.AbstractTemporal
getTime() - Method in interface gov.sandia.cognition.util.Temporal: The time associated with this object.
getTitleField() - Method in class gov.sandia.cognition.text.document.AbstractDocument
getTitleField() - Method in interface gov.sandia.cognition.text.document.Document: Gets the commonly-used title field.
getTokenizer() - Method in class gov.sandia.cognition.math.matrix.VectorReader: Getter for tokenizer
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the current tolerance value.
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.minimization.AbstractAnytimeFunctionMinimizer: Getter for tolerance
getTolerance() - Method in interface gov.sandia.cognition.learning.algorithm.minimization.FunctionMinimizer: Gets the tolerance of the minimization algorithm
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.AbstractLineBracketInterpolator
getTolerance() - Method in interface gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolator: Gets the tolerance of the interpolator to collinear or identical points, typically 1e-6, must be greater than 0.0.
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.minimization.matrix.IterativeMatrixSolver
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractLogisticRegression: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.regression.AbstractParameterCostMinimizer: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.regression.KernelWeightedRobustRegression: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.regression.LogisticRegression: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.root.AbstractRootFinder
getTolerance() - Method in class gov.sandia.cognition.learning.algorithm.root.MinimizerBasedRootFinder
getTolerance() - Method in interface gov.sandia.cognition.learning.algorithm.root.RootFinder: Gets the tolerance of the algorithm.
getTolerance() - Method in class gov.sandia.cognition.math.LentzMethod: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.statistics.distribution.MixtureOfGaussians.EMLearner: Getter for tolerance
getTolerance() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel.EMLearner: Getter for tolerance
getTopicCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler: Gets the number of topics (k) created by the topic model.
getTopicCount() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the number of topics (k) created by the topic model.
getTopicTermProbabilities() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the document-topic probabilities, which are often called the theta model parameters.
getTotal() - Method in interface gov.sandia.cognition.statistics.DataDistribution: Gets the total (sum) of the values in the distribution.
getTotal() - Method in class gov.sandia.cognition.statistics.distribution.DefaultDataDistribution
getTotalChange() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares: Gets the total change in the model parameters from the current iteration.
getTotalChange() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient: Gets the total change from the current iteration.
getTotalChange() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation: Gets the total change in weight from the most recent step of the algorithm.
getTotalCorrectCount() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getTotalCorrectCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the total number of correct entries in the confusion matrix.
getTotalCount() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getTotalCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the total number of entries in the confusion matrix.
getTotalCount() - Method in class gov.sandia.cognition.text.term.DefaultTermCounts
getTotalCount() - Method in interface gov.sandia.cognition.text.term.TermCounts: Gets the total count of all terms.
getTotalDays() - Method in class gov.sandia.cognition.time.DefaultDuration
getTotalDays() - Method in interface gov.sandia.cognition.time.Duration: Gets the total number of standard days of this duration.
getTotalError() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineAlternatingLeastSquares: Gets the total squared error from the current iteration.
getTotalError() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachineStochasticGradient: Gets the total squared error from the current iteration.
getTotalHours() - Method in class gov.sandia.cognition.time.DefaultDuration
getTotalHours() - Method in interface gov.sandia.cognition.time.Duration: Gets the total number of standard hours of this duration.
getTotalIncorrectCount() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractConfusionMatrix
getTotalIncorrectCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.ConfusionMatrix: Gets the total number of incorrect entries in the confusion matrix.
getTotalMilliseconds() - Method in class gov.sandia.cognition.time.DefaultDuration
getTotalMilliseconds() - Method in interface gov.sandia.cognition.time.Duration: Gets the total number of standard milliseconds of this duration.
getTotalMinutes() - Method in class gov.sandia.cognition.time.DefaultDuration
getTotalMinutes() - Method in interface gov.sandia.cognition.time.Duration: Gets the total number of standard minutes of this duration.
getTotalOccurrences() - Method in class gov.sandia.cognition.text.topic.LatentDirichletAllocationVectorGibbsSampler.Result: Gets the total number of term occurrences
getTotalSeconds() - Method in class gov.sandia.cognition.time.DefaultDuration
getTotalSeconds() - Method in interface gov.sandia.cognition.time.Duration: Gets the total number of standard seconds of this duration.
getTournamentSize() - Method in class gov.sandia.cognition.learning.algorithm.genetic.selector.TournamentSelector: Gets the size for tournaments.
getTrainingPercent() - Method in class gov.sandia.cognition.learning.data.RandomDataPartitioner: Gets the percentage of data to put in the training partition.
getTrainingSet() - Method in class gov.sandia.cognition.learning.data.DefaultPartitionedDataset
getTrainingSet() - Method in interface gov.sandia.cognition.learning.data.PartitionedDataset: Gets the training dataset.
getTransform() - Method in class gov.sandia.cognition.text.topic.LatentSemanticAnalysis.Transform: Gets the cached transform matrix.
getTransitionProbability() - Method in class gov.sandia.cognition.learning.algorithm.hmm.MarkovChain: Getter for transitionProbability.
getTreatmentCount() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution: Getter for treatmentCount
getTreatmentCount() - Method in class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic
getTreatmentCount() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for treatmentCount
getTreatmentCount() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getTreatmentCount() - Method in interface gov.sandia.cognition.statistics.method.MultipleHypothesisComparison.Statistic: Gets the number of treatments being compared
getTreatmentMeans() - Method in class gov.sandia.cognition.statistics.method.NemenyiConfidence.Statistic: Getter for treatmentRankMeans
getTreatmentMeans() - Method in class gov.sandia.cognition.statistics.method.TukeyKramerConfidence.Statistic: Getter for treatmentMeans
getTreatmentRankMeans() - Method in class gov.sandia.cognition.statistics.method.FriedmanConfidence.Statistic: Getter for treatmentRankMeans
getTreeSize() - Method in class gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode
getTreeSize() - Method in interface gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode: Gets the size of the sub-tree from this node.
getTrueNegativesCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the number of true negatives.
getTrueNegativesCount() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix
getTrueNegativesFraction() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getTrueNegativesFraction() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the fraction of true negatives.
getTrueNegativesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix: Gets the rate of negative targets correctly classified.
getTrueNegativesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval: Getter for trueNegativesRate
getTruePositiveRate() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic.DataPoint: Gets the truePositiveRate associated with this datapoint
getTruePositivesCount() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the number of true positives.
getTruePositivesCount() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix
getTruePositivesFraction() - Method in class gov.sandia.cognition.learning.performance.categorization.AbstractBinaryConfusionMatrix
getTruePositivesFraction() - Method in interface gov.sandia.cognition.learning.performance.categorization.BinaryConfusionMatrix: Gets the fraction of true positives.
getTruePositivesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrix: Gets the rate of target trues that were correctly classified as true.
getTruePositivesRate() - Method in class gov.sandia.cognition.learning.performance.categorization.DefaultBinaryConfusionMatrixConfidenceInterval: Getter for truePositivesRate
getTrueValue() - Method in class gov.sandia.cognition.data.convert.number.DefaultBooleanToNumberConverter: Gets the number that represents a true value.
getType() - Method in class gov.sandia.cognition.io.ProcessLauncherEvent: Getter for type
getU() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractSingularValueDecomposition
getU() - Method in interface gov.sandia.cognition.math.matrix.decomposition.SingularValueDecomposition: Gets the orthonormal matrix containing the left singular vectors of the underlying matrix
getU() - Method in class gov.sandia.cognition.statistics.method.MannWhitneyUConfidence.Statistic: Getter for U
getUnaryCost(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getUnaryCost(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getUnaryCost(int, LabelType) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: This is the -log(getUnaryPotential(.)).
getUnaryCost(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getUnaryPotential(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.CostSpeedupEnergyFunction
getUnaryPotential(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.EdgeMergingEnergyFunction
getUnaryPotential(int, LabelType) - Method in interface gov.sandia.cognition.graph.inference.EnergyFunction: Returns the unary cost for node i having the input label.
getUnaryPotential(int, LabelType) - Method in class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction
getUnaryPotential(DirectedNodeEdgeGraph<NodeNameType>, int, LabelType, LabelType) - Method in interface gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction.PotentialHandler: Provide the unary potential for the specified node
getUncompensatedAlpha() - Method in class gov.sandia.cognition.statistics.method.AbstractMultipleHypothesisComparison.Statistic
getUncompensatedAlpha() - Method in class gov.sandia.cognition.statistics.method.MultipleComparisonExperiment.Statistic
getUncompensatedAlpha() - Method in interface gov.sandia.cognition.statistics.method.MultipleHypothesisComparison.Statistic: Gets the uncompensated alpha (p-value threshold) for the multiple comparison test
getUnlabeledWeight() - Method in class gov.sandia.cognition.learning.algorithm.svm.SuccessiveOverrelaxation.Entry: Gets the unlabeled weight.
getUnpredictedErrorFraction() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression.Statistic: Getter for unpredictedErrorFraction
getUpdater() - Method in class gov.sandia.cognition.statistics.bayesian.AbstractParticleFilter
getUpdater() - Method in class gov.sandia.cognition.statistics.bayesian.DirichletProcessMixtureModel: Getter for updater
getUpdater() - Method in class gov.sandia.cognition.statistics.bayesian.ImportanceSampling: Getter for updater
getUpdater() - Method in class gov.sandia.cognition.statistics.bayesian.MetropolisHastingsAlgorithm: Gets the object that makes proposal samples from the current location.
getUpdater() - Method in interface gov.sandia.cognition.statistics.bayesian.ParticleFilter: Gets the updater
getUpdater() - Method in class gov.sandia.cognition.statistics.bayesian.RejectionSampling: Getter for updater
getUpperBound() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.LineBracket: Getter for upperBound
getUpperBound() - Method in class gov.sandia.cognition.statistics.method.ConfidenceInterval: Getter for upperBound
getUpperLeft() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the child representing upper-left quadrant of the node, when treating the 2D coordinate grid in a mathematical representation (positive x values go left and positive y values go up).
getUpperRight() - Method in class gov.sandia.cognition.math.geometry.Quadtree.Node: Gets the child representing upper-right quadrant of the node, when treating the 2D coordinate grid in a mathematical representation (positive x values go left and positive y values go up).
getUsePseudoInverse() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearBasisRegression: Getter for usePseudoInverse
getUsePseudoInverse() - Method in class gov.sandia.cognition.learning.algorithm.regression.LinearRegression: Getter for usePseudoInverse
getUsePseudoInverse() - Method in class gov.sandia.cognition.learning.algorithm.regression.MultivariateLinearRegression: Getter for usePseudoInverse
getUtest() - Method in class gov.sandia.cognition.statistics.method.ReceiverOperatingCharacteristic: Getter for Utest
getV1() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution: Getter for v1
getV2() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution: Getter for v2
getValidationData() - Method in class gov.sandia.cognition.learning.performance.AnytimeBatchLearnerValidationPerformanceReporter: Gets the validation dataset.
getValue() - Method in class gov.sandia.cognition.collection.AbstractLogNumberMap.SimpleEntry
getValue() - Method in class gov.sandia.cognition.collection.AbstractMutableDoubleMap.SimpleEntry
getValue(int) - Method in class gov.sandia.cognition.collection.DefaultIndexer
getValue(Integer) - Method in class gov.sandia.cognition.collection.DefaultIndexer
getValue(int) - Method in interface gov.sandia.cognition.collection.Indexer: Gets the value associated with the given index.
getValue(Integer) - Method in interface gov.sandia.cognition.collection.Indexer: Gets the value associated with the given index.
getValue() - Method in interface gov.sandia.cognition.collection.ScalarMap.Entry: Gets the value associated with the key.
getValue(int) - Method in class gov.sandia.cognition.framework.lite.ArrayBasedCognitiveModelInput: Gets the activation value of the given index in the array.
getValue() - Method in class gov.sandia.cognition.learning.algorithm.baseline.ConstantLearner: Gets the value that is the result of learning.
getValue() - Method in class gov.sandia.cognition.learning.algorithm.tree.RegressionTreeNode: Gets the value stored at the node, which is usually the mean value.
getValue() - Method in class gov.sandia.cognition.learning.data.DefaultValueDiscriminantPair
getValue() - Method in interface gov.sandia.cognition.learning.data.ValueDiscriminantPair: Gets the value in the pair.
getValue() - Method in class gov.sandia.cognition.learning.function.ConstantEvaluator: Gets the constant output value for the evaluator.
getValue() - Method in class gov.sandia.cognition.math.LogNumber: Gets the value represented by the log number.
getValue() - Method in interface gov.sandia.cognition.math.matrix.MatrixEntry: Gets the value to which this entry points
getValue() - Method in interface gov.sandia.cognition.math.matrix.VectorSpace.Entry: Gets the value to which this entry points
getValue() - Method in class gov.sandia.cognition.math.MutableDouble: Gets the value stored in the object.
getValue() - Method in class gov.sandia.cognition.math.MutableInteger: Gets the value stored in the object.
getValue() - Method in class gov.sandia.cognition.math.MutableLong: Gets the value stored in the object.
getValue() - Method in class gov.sandia.cognition.math.UnsignedLogNumber: Gets the value represented by the log number.
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.BernoulliBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.BinomialBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.ExponentialBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.GammaInverseScaleBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.MultinomialBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.MultivariateGaussianMeanBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.MultivariateGaussianMeanCovarianceBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.PoissonBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.UniformDistributionBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.UnivariateGaussianMeanBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.bayesian.conjugate.UnivariateGaussianMeanVarianceBayesianEstimator.Parameter
getValue() - Method in class gov.sandia.cognition.statistics.DefaultDistributionParameter
getValue() - Method in class gov.sandia.cognition.util.DefaultIdentifiedValue
getValue() - Method in class gov.sandia.cognition.util.DefaultKeyValuePair
getValue() - Method in class gov.sandia.cognition.util.DefaultNamedValue: Gets the value stored in the name-value pair.
getValue() - Method in class gov.sandia.cognition.util.DefaultTemporalValue
getValue() - Method in class gov.sandia.cognition.util.DefaultWeightedValue: Gets the value.
getValue() - Method in interface gov.sandia.cognition.util.IdentifiedValue: Gets the value associated with the identifier.
getValue() - Method in interface gov.sandia.cognition.util.KeyValuePair: Gets the value part of the key-value pair.
getValue() - Method in interface gov.sandia.cognition.util.NamedValue: Gets the value stored in the name-value pair.
getValue() - Method in interface gov.sandia.cognition.util.TemporalValue: Gets the value stored in this object.
getValue() - Method in interface gov.sandia.cognition.util.WeightedValue: Gets the value.
getValueMap() - Method in class gov.sandia.cognition.evaluator.ValueMapper: Gets the map of input values to output values.
getValues() - Method in class gov.sandia.cognition.data.convert.vector.UniqueBooleanVectorEncoder: Gets the list of unique values that the encoder is to use.
getValues() - Method in class gov.sandia.cognition.framework.lite.ArrayBasedCognitiveModelInput: Gets the array of activation values.
getValues() - Method in class gov.sandia.cognition.framework.lite.VectorBasedCognitiveModelInput: Getter for values
getValues() - Method in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator: Gets the values that the divergence is computed from using the divergence function to the input.
getVariance() - Method in class gov.sandia.cognition.learning.data.feature.StandardDistributionNormalizer: Gets the variance.
getVariance() - Method in class gov.sandia.cognition.learning.function.categorization.DiagonalConfidenceWeightedBinaryCategorizer: Gets the variance vector.
getVariance() - Method in class gov.sandia.cognition.math.UnivariateSummaryStatistics: Getter for variance
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.BernoulliDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.BetaBinomialDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.BetaDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.BinomialDistribution: Gets the variance of the distribution.
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.CauchyDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.ChiSquareDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.DeterministicDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.ExponentialDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.GammaDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.GeometricDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.InverseGammaDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.KolmogorovDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.LaplaceDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.LogisticDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.LogNormalDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.NegativeBinomialDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.ParetoDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.PoissonDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.ScalarDataDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.ScalarMixtureDensityModel
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.SnedecorFDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.StudentizedRangeDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.StudentTDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.UniformDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.UniformIntegerDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.UnivariateGaussian.SufficientStatistic: Gets the variance of the Gaussian.
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.WeibullDistribution
getVariance() - Method in class gov.sandia.cognition.statistics.distribution.YuleSimonDistribution
getVariance() - Method in interface gov.sandia.cognition.statistics.UnivariateDistribution: Gets the variance of the distribution.
getVariance() - Method in class gov.sandia.cognition.statistics.UnivariateRandomVariable
getVectorFactory() - Method in class gov.sandia.cognition.data.convert.vector.AbstractToVectorEncoder
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.AbstractOnlineLinearBinaryCategorizerLearner: Gets the VectorFactory used to create the weight vector.
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.BatchMultiPerceptron: Gets the VectorFactory used to create the weight vector.
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineMultiPerceptron: Gets the VectorFactory used to create the weight vector.
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.OnlineVotedPerceptron: Gets the VectorFactory used to create the weight vector.
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Perceptron
getVectorFactory() - Method in class gov.sandia.cognition.learning.algorithm.tree.RandomSubVectorThresholdLearner: Gets the vector factory.
getVectorFactory() - Method in class gov.sandia.cognition.learning.data.feature.FeatureHashing
getVectorFactory() - Method in class gov.sandia.cognition.learning.data.feature.RandomSubspace
getVectorFactory() - Method in class gov.sandia.cognition.learning.function.categorization.WinnerTakeAllCategorizer.Learner: Gets the vector factory.
getVectorFactory() - Method in class gov.sandia.cognition.learning.function.distance.DivergencesEvaluator.Learner
getVectorFactory() - Method in class gov.sandia.cognition.learning.function.vector.VectorizableVectorConverterWithBias: Gets the vector factory used to create the vector with the bias.
getVectorFactory() - Method in class gov.sandia.cognition.math.matrix.custom.DenseVector
getVectorFactory() - Method in class gov.sandia.cognition.math.matrix.custom.SparseVector
getVectorFactory() - Method in class gov.sandia.cognition.math.matrix.DefaultVectorFactoryContainer: Gets the vector factory the object to use to create new vectors.
getVectorFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.DenseVector
getVectorFactory() - Method in class gov.sandia.cognition.math.matrix.mtj.SparseVector
getVectorFactory() - Method in interface gov.sandia.cognition.math.matrix.Vector: Gets a vector factory associated with this kind of vector.
getVectorFactory() - Method in interface gov.sandia.cognition.math.matrix.VectorFactoryContainer: Gets the vector factory the object to use to create new vectors.
getVectorFactory() - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractGlobalTermWeighter: Gets the vector factory.
getVectorFactory() - Method in class gov.sandia.cognition.text.topic.ProbabilisticLatentSemanticAnalysis: Gets the vector factory to use.
getVectorFunction() - Method in class gov.sandia.cognition.learning.function.scalar.VectorFunctionLinearDiscriminant: Getter for vectorFunction
getVectorFunction() - Method in class gov.sandia.cognition.learning.function.scalar.VectorFunctionToScalarFunction: Gets the vector function with a one-dimensional output that is being converted to a scalar function.
getVectorOffset() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.DirectionalVectorToScalarFunction: Getter for vectorOffset
getVectorScalarFunction() - Method in class gov.sandia.cognition.learning.algorithm.minimization.line.DirectionalVectorToScalarFunction: Getter for vectorScalarFunction
getVtranspose() - Method in class gov.sandia.cognition.math.matrix.decomposition.AbstractSingularValueDecomposition
getVtranspose() - Method in interface gov.sandia.cognition.math.matrix.decomposition.SingularValueDecomposition: Gets the transpose of the orthonormal matrix containing the right singular vectors of the underlying matrix
getW() - Method in interface gov.sandia.cognition.math.matrix.Quaternion: Gets the w component of the quaternion.
getWeakLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdaBoost: Gets the weak learner that is passed the weighted training data on each step of the algorithm.
getWeakLearner() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.MultiCategoryAdaBoost: Gets the weak learner that is passed the weighted training data on each step of the algorithm.
getWeight(InputOutputPair<?, ?>) - Static method in class gov.sandia.cognition.learning.data.DatasetUtil: Gets the weight of a given input-output pair.
getWeight(TargetEstimatePair<?, ?>) - Static method in class gov.sandia.cognition.learning.data.DatasetUtil: Gets the weight of a given target-estimate pair.
getWeight() - Method in class gov.sandia.cognition.learning.data.DefaultWeightedInputOutputPair
getWeight() - Method in class gov.sandia.cognition.learning.data.DefaultWeightedTargetEstimatePair
getWeight() - Method in class gov.sandia.cognition.learning.function.kernel.WeightedKernel: Gets the weight used to rescale the kernel's results.
getWeight() - Method in class gov.sandia.cognition.util.AbstractWeighted
getWeight() - Method in class gov.sandia.cognition.util.DefaultWeightedPair: Sets the weight of the pair.
getWeight() - Method in interface gov.sandia.cognition.util.Weighted: Gets the weight of the object.
getWeightConverter() - Method in class gov.sandia.cognition.framework.learning.converter.CogxelWeightedInputOutputPairConverter: Getter for weightConverter
getWeightedData() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AdaBoost: Gets the weighted version of the data.
getWeightedEstimator() - Method in interface gov.sandia.cognition.statistics.EstimableWeightedDistribution: Gets an estimator associated with this distribution for weighted data
getWeightPrior() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression: Getter for weightPrior
getWeightPrior() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression: Getter for weightPrior
getWeightRegularization() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.AbstractFactorizationMachineLearner: Gets the value for the parameter controlling the linear weight regularization.
getWeights() - Method in class gov.sandia.cognition.learning.algorithm.factor.machine.FactorizationMachine: Gets the weight vector.
getWeights() - Method in class gov.sandia.cognition.learning.function.categorization.LinearBinaryCategorizer: Gets the weight vector.
getWeights() - Method in class gov.sandia.cognition.learning.function.distance.WeightedEuclideanDistanceMetric: Gets the vector of weights for each dimension.
getWeights() - Method in class gov.sandia.cognition.learning.function.scalar.LinearVectorScalarFunction: Gets the weight vector.
getWeightSum() - Method in class gov.sandia.cognition.learning.algorithm.ensemble.AbstractWeightedEnsemble: Gets the sum of the weights of the ensemble members.
getWeightUpdate() - Method in class gov.sandia.cognition.learning.algorithm.perceptron.Winnow: Gets the multiplicative weight update term.
getWeightVector() - Method in class gov.sandia.cognition.learning.function.scalar.LinearDiscriminant: Getter for weightVector
getWithinClusterDivergenceFunction() - Method in class gov.sandia.cognition.learning.algorithm.clustering.PartitionalClusterer: Gets the metric on clusters used for partitioning.
getWordCounts() - Method in class gov.sandia.cognition.text.spelling.SimpleStatisticalSpellingCorrector: Gets the dictionary of word counts.
getWords() - Method in class gov.sandia.cognition.text.term.filter.DefaultStopList: Gets the set of words in the stop list.
getWriter() - Method in class gov.sandia.cognition.math.matrix.MatrixWriter: Getter for writer
getWriter() - Method in class gov.sandia.cognition.math.matrix.VectorWriter: Getter for writer
getX() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector1
getX() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector2
getX() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getX() - Method in interface gov.sandia.cognition.math.matrix.Quaternion: Gets the x component of the quaternion.
getX() - Method in interface gov.sandia.cognition.math.matrix.Vector1D: Gets the value of the first (and only) dimension (x).
getX() - Method in interface gov.sandia.cognition.math.matrix.Vector2D: Gets the value of the first dimension (x).
getX() - Method in interface gov.sandia.cognition.math.matrix.Vector3D: Gets the value of the first dimension (x).
getY() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector2
getY() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getY() - Method in interface gov.sandia.cognition.math.matrix.Quaternion: Gets the y component of the quaternion.
getY() - Method in interface gov.sandia.cognition.math.matrix.Vector2D: Gets the value of the second dimension (y).
getY() - Method in interface gov.sandia.cognition.math.matrix.Vector3D: Gets the value of the second dimension (y).
getZ() - Method in class gov.sandia.cognition.math.matrix.mtj.Vector3
getZ() - Method in interface gov.sandia.cognition.math.matrix.Quaternion: Gets the z component of the quaternion.
getZ() - Method in interface gov.sandia.cognition.math.matrix.Vector3D: Gets the value of the third dimension (z).
getZ() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianLinearRegression.IncrementalEstimator.SufficientStatistic: Getter for z
getZ() - Method in class gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.IncrementalEstimator.SufficientStatistic: Getter for z
getZ() - Method in class gov.sandia.cognition.statistics.method.GaussianConfidence.Statistic: Setter for z
getZ() - Method in class gov.sandia.cognition.statistics.method.MannWhitneyUConfidence.Statistic: Getter for z
getZ() - Method in class gov.sandia.cognition.statistics.method.WilcoxonSignedRankConfidence.Statistic: Getter for z
giniImpurity(DefaultDataDistribution<DataType>) - Static method in class gov.sandia.cognition.learning.algorithm.tree.VectorThresholdGiniImpurityLearner: Computes the Gini impurity of a histogram.
GlobalTermWeighter - Interface in gov.sandia.cognition.text.term.vector.weighter.global: Implements a global term weighting scheme.
globalWeighter - Variable in class gov.sandia.cognition.text.term.vector.weighter.CompositeLocalGlobalTermWeighter: The weighting scheme for the global weights.
GOLDEN_RATIO - Static variable in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorGoldenSection: Golden ratio, from the Fibonacci sequence, 1.618034
GOLDEN_RATIO_CONJUGATE - Static variable in class gov.sandia.cognition.learning.algorithm.minimization.line.interpolator.LineBracketInterpolatorGoldenSection: The Golden Ratio conjugate, 0.618034
gov.sandia.cognition.algorithm - package gov.sandia.cognition.algorithm: Provides general interfaces and implementations for algorithms.
gov.sandia.cognition.algorithm.event - package gov.sandia.cognition.algorithm.event: Provides useful components for handling algorithm events.
gov.sandia.cognition.annotation - package gov.sandia.cognition.annotation: Provides commonly useful annotations.
gov.sandia.cognition.collection - package gov.sandia.cognition.collection: Provides commonly useful collection implementations.
gov.sandia.cognition.data.convert - package gov.sandia.cognition.data.convert: Provides utilities for doing data type conversion.
gov.sandia.cognition.data.convert.number - package gov.sandia.cognition.data.convert.number: Provides utilities for doing data type conversion with numbers.
gov.sandia.cognition.data.convert.vector - package gov.sandia.cognition.data.convert.vector: Provides utilities for doing data type conversion with vectors.
gov.sandia.cognition.data.temporal - package gov.sandia.cognition.data.temporal: Provides interfaces for temporal data.
gov.sandia.cognition.evaluator - package gov.sandia.cognition.evaluator: Provides interfaces and classes to do with the Evaluator interface.
gov.sandia.cognition.factory - package gov.sandia.cognition.factory: Provides interfaces and implementations of general factory objects.
gov.sandia.cognition.framework - package gov.sandia.cognition.framework: Provides the interfaces for the Cognitive Framework.
gov.sandia.cognition.framework.concurrent - package gov.sandia.cognition.framework.concurrent: Provides a concurrent implementation of teh Cognitive Framework.
gov.sandia.cognition.framework.io - package gov.sandia.cognition.framework.io: Provides file format handlers for the Cognitive Framework.
gov.sandia.cognition.framework.learning - package gov.sandia.cognition.framework.learning: Provides a mechanism for putting learned objects into the Cognitive Framework.
gov.sandia.cognition.framework.learning.converter - package gov.sandia.cognition.framework.learning.converter: Provides implementations of CogxelConverters.
gov.sandia.cognition.framework.lite - package gov.sandia.cognition.framework.lite: Provides a lightweight implementation of the Cognitive Framework.
gov.sandia.cognition.graph - package gov.sandia.cognition.graph
gov.sandia.cognition.graph.community - package gov.sandia.cognition.graph.community
gov.sandia.cognition.graph.inference - package gov.sandia.cognition.graph.inference
gov.sandia.cognition.hash - package gov.sandia.cognition.hash: Provides hash function implementations.
gov.sandia.cognition.io - package gov.sandia.cognition.io: Provides general classes for assisting with input/output operations.
gov.sandia.cognition.io.serialization - package gov.sandia.cognition.io.serialization: Provides general classes for object serialization.
gov.sandia.cognition.learning.algorithm - package gov.sandia.cognition.learning.algorithm: Provides general interfaces for learning algorithms.
gov.sandia.cognition.learning.algorithm.annealing - package gov.sandia.cognition.learning.algorithm.annealing: Provides the Simulated Annealing algorithm.
gov.sandia.cognition.learning.algorithm.baseline - package gov.sandia.cognition.learning.algorithm.baseline: Provides baseline (dummy) learning algorithms.
gov.sandia.cognition.learning.algorithm.bayes - package gov.sandia.cognition.learning.algorithm.bayes: Provides algorithms for computing Bayesian categorizers.
gov.sandia.cognition.learning.algorithm.clustering - package gov.sandia.cognition.learning.algorithm.clustering: Provides clustering algorithms.
gov.sandia.cognition.learning.algorithm.clustering.cluster - package gov.sandia.cognition.learning.algorithm.clustering.cluster: Provides implementations of different types of clusters.
gov.sandia.cognition.learning.algorithm.clustering.divergence - package gov.sandia.cognition.learning.algorithm.clustering.divergence: Provides divergence functions for use in clustering.
gov.sandia.cognition.learning.algorithm.clustering.hierarchy - package gov.sandia.cognition.learning.algorithm.clustering.hierarchy: Provides a hierarchy for clusters.
gov.sandia.cognition.learning.algorithm.clustering.initializer - package gov.sandia.cognition.learning.algorithm.clustering.initializer: Provides implementations of methods for selecting initial clusters.
gov.sandia.cognition.learning.algorithm.confidence - package gov.sandia.cognition.learning.algorithm.confidence: Provides confidence-weighted categorization algorithms.
gov.sandia.cognition.learning.algorithm.delta - package 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 - package gov.sandia.cognition.learning.algorithm.ensemble: Provides ensemble methods.
gov.sandia.cognition.learning.algorithm.factor.machine - package gov.sandia.cognition.learning.algorithm.factor.machine: Provides factorization machine algorithms.
gov.sandia.cognition.learning.algorithm.genetic - package gov.sandia.cognition.learning.algorithm.genetic: Provides a genetic algorithm implementation.
gov.sandia.cognition.learning.algorithm.genetic.reproducer - package gov.sandia.cognition.learning.algorithm.genetic.reproducer: Provides reproduction functions for use with a Genetic Algorithm.
gov.sandia.cognition.learning.algorithm.genetic.selector - package gov.sandia.cognition.learning.algorithm.genetic.selector: Provides selection functions for a Genetic Algorithm.
gov.sandia.cognition.learning.algorithm.gradient - package gov.sandia.cognition.learning.algorithm.gradient: Provides gradient based learning algorithms.
gov.sandia.cognition.learning.algorithm.hmm - package gov.sandia.cognition.learning.algorithm.hmm: Provides hidden Markov model (HMM) algorithms.
gov.sandia.cognition.learning.algorithm.minimization - package gov.sandia.cognition.learning.algorithm.minimization: Provides minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line - package gov.sandia.cognition.learning.algorithm.minimization.line: Provides line (scalar) minimization algorithms.
gov.sandia.cognition.learning.algorithm.minimization.line.interpolator - package 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 - package gov.sandia.cognition.learning.algorithm.minimization.matrix: Provides matrix solving algorithms.
gov.sandia.cognition.learning.algorithm.nearest - package gov.sandia.cognition.learning.algorithm.nearest: Provides algorithms for Nearest-Neighbor memory-based functions.
gov.sandia.cognition.learning.algorithm.pca - package gov.sandia.cognition.learning.algorithm.pca: Provides implementations of Principle Components Analysis (PCA).
gov.sandia.cognition.learning.algorithm.perceptron - package gov.sandia.cognition.learning.algorithm.perceptron: Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.perceptron.kernel - package gov.sandia.cognition.learning.algorithm.perceptron.kernel
gov.sandia.cognition.learning.algorithm.regression - package gov.sandia.cognition.learning.algorithm.regression: Provides regression algorithms, such as Linear Regression.
gov.sandia.cognition.learning.algorithm.root - package 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 - package gov.sandia.cognition.learning.algorithm.semisupervised.valence
gov.sandia.cognition.learning.algorithm.svm - package gov.sandia.cognition.learning.algorithm.svm: Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.algorithm.tree - package gov.sandia.cognition.learning.algorithm.tree: Provides decision tree learning algorithms.
gov.sandia.cognition.learning.data - package gov.sandia.cognition.learning.data: Provides data set utilities for learning.
gov.sandia.cognition.learning.data.feature - package gov.sandia.cognition.learning.data.feature: Provides data feature extractors.
gov.sandia.cognition.learning.experiment - package gov.sandia.cognition.learning.experiment: Provides experiments for validating the performance of learning algorithms.
gov.sandia.cognition.learning.function - package gov.sandia.cognition.learning.function: Provides function objects for learning algorithms.
gov.sandia.cognition.learning.function.categorization - package gov.sandia.cognition.learning.function.categorization: Provides functions that output a discrete set of categories.
gov.sandia.cognition.learning.function.cost - package gov.sandia.cognition.learning.function.cost: Provides cost functions.
gov.sandia.cognition.learning.function.distance - package gov.sandia.cognition.learning.function.distance: Provides distance functions.
gov.sandia.cognition.learning.function.kernel - package gov.sandia.cognition.learning.function.kernel: Provides kernel functions.
gov.sandia.cognition.learning.function.regression - package gov.sandia.cognition.learning.function.regression: Provides functions that output real numbers from some input data structure.
gov.sandia.cognition.learning.function.scalar - package gov.sandia.cognition.learning.function.scalar: Provides functions that output real numbers.
gov.sandia.cognition.learning.function.summarizer - package gov.sandia.cognition.learning.function.summarizer: Provides classes for summarizing data.
gov.sandia.cognition.learning.function.vector - package gov.sandia.cognition.learning.function.vector: Provides functions that output vectors.
gov.sandia.cognition.learning.parameter - package gov.sandia.cognition.learning.parameter: Provides utility classes for handling learning algorithm parameters.
gov.sandia.cognition.learning.performance - package gov.sandia.cognition.learning.performance: Provides performance measures.
gov.sandia.cognition.learning.performance.categorization - package gov.sandia.cognition.learning.performance.categorization: Provides performance measures for categorizers.
gov.sandia.cognition.math - package gov.sandia.cognition.math: Provides classes for mathematical computation.
gov.sandia.cognition.math.geometry - package gov.sandia.cognition.math.geometry: Provides classes and interfaces for computational geometry.
gov.sandia.cognition.math.matrix - package gov.sandia.cognition.math.matrix: Provides interfaces and classes for linear algebra.
gov.sandia.cognition.math.matrix.custom - package 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 - package gov.sandia.cognition.math.matrix.decomposition: Provides matrix decompositions.
gov.sandia.cognition.math.matrix.mtj - package 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 - package gov.sandia.cognition.math.matrix.mtj.decomposition: Provides matrix decomposition implementations using the Matrix Toolkits for Java (MTJ) library.
gov.sandia.cognition.math.signals - package gov.sandia.cognition.math.signals: Provides mathematical signal processing methods.
gov.sandia.cognition.statistics - package gov.sandia.cognition.statistics: Provides the inheritance hierarchy for general statistical methods and distributions.
gov.sandia.cognition.statistics.bayesian - package gov.sandia.cognition.statistics.bayesian: Provides algorithms for computing Bayesian estimates of parameters.
gov.sandia.cognition.statistics.bayesian.conjugate - package 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 - package gov.sandia.cognition.statistics.distribution: Provides statistical distributions.
gov.sandia.cognition.statistics.method - package gov.sandia.cognition.statistics.method: Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.
gov.sandia.cognition.statistics.montecarlo - package gov.sandia.cognition.statistics.montecarlo: Provides Monte Carlo procedures for numerical integration and sampling.
gov.sandia.cognition.text - package gov.sandia.cognition.text: Provides classes for processing text.
gov.sandia.cognition.text.algorithm - package gov.sandia.cognition.text.algorithm
gov.sandia.cognition.text.convert - package gov.sandia.cognition.text.convert: Provides classes for converting objects to a textual representation.
gov.sandia.cognition.text.document - package gov.sandia.cognition.text.document: Provides representations for textual documents.
gov.sandia.cognition.text.document.extractor - package gov.sandia.cognition.text.document.extractor: Provides extractors for pulling textual documents out of files.
gov.sandia.cognition.text.evaluation - package gov.sandia.cognition.text.evaluation: Provides methods for evaluating text processing algorithms.
gov.sandia.cognition.text.relation - package gov.sandia.cognition.text.relation: Provides classes for relationships involving text.
gov.sandia.cognition.text.spelling - package gov.sandia.cognition.text.spelling: Provides classes for spelling.
gov.sandia.cognition.text.term - package gov.sandia.cognition.text.term: Provides term representing text content in documents.
gov.sandia.cognition.text.term.filter - package gov.sandia.cognition.text.term.filter: Provides classes for filtering and transforming terms.
gov.sandia.cognition.text.term.filter.stem - package gov.sandia.cognition.text.term.filter.stem: Provides stemming algorithms for terms.
gov.sandia.cognition.text.term.relation - package gov.sandia.cognition.text.term.relation: Provides relationships between terms.
gov.sandia.cognition.text.term.vector - package gov.sandia.cognition.text.term.vector: Provides methods for handling documents represented as term vectors.
gov.sandia.cognition.text.term.vector.weighter - package gov.sandia.cognition.text.term.vector.weighter: Provides term weighting algorithms.
gov.sandia.cognition.text.term.vector.weighter.global - package gov.sandia.cognition.text.term.vector.weighter.global: Provides global term weighting algorithms.
gov.sandia.cognition.text.term.vector.weighter.local - package gov.sandia.cognition.text.term.vector.weighter.local: Provides local term weighting algorithms.
gov.sandia.cognition.text.term.vector.weighter.normalize - package gov.sandia.cognition.text.term.vector.weighter.normalize: Provides term weight normalization algorithms.
gov.sandia.cognition.text.token - package gov.sandia.cognition.text.token: Provides text tokenization algorithms.
gov.sandia.cognition.text.topic - package gov.sandia.cognition.text.topic: Provides topic modeling algorithms.
gov.sandia.cognition.time - package gov.sandia.cognition.time: Provides classes for dealing with temporal data.
gov.sandia.cognition.util - package gov.sandia.cognition.util: Provides general utility classes.
GradientDescendable - Interface in gov.sandia.cognition.learning.algorithm.gradient: Defines the functionality of an object that is required in order to apply the gradient descent algorithm to it.
GradientDescendableApproximator - Class in gov.sandia.cognition.learning.algorithm.gradient: Creates a radientDescendable from a VectorizableVectorFunction by estimating the parameter gradient using a forward-difference approximation of the parameter Jacobian.
GradientDescendableApproximator() - Constructor for class gov.sandia.cognition.learning.algorithm.gradient.GradientDescendableApproximator: Default constructor.
GradientDescendableApproximator(VectorizableVectorFunction) - Constructor for class gov.sandia.cognition.learning.algorithm.gradient.GradientDescendableApproximator: Creates a new instance of GradientDescendableApproximator
GradientDescendableApproximator(VectorizableVectorFunction, double) - Constructor for class gov.sandia.cognition.learning.algorithm.gradient.GradientDescendableApproximator: Creates a new instance of GradientDescendableApproximator
GradientPartialSSE(Vector, Double) - Constructor for class gov.sandia.cognition.learning.function.cost.SumSquaredErrorCostFunction.GradientPartialSSE: Creates a new instance of GradientPartialSSE
GraphMetrics<NodeNameType> - Class in gov.sandia.cognition.graph: This class is intended to allow programmers to get any number of graph metrics for any input graph without bloating the intentionally spartan graph implementations and interfaces.
GraphMetrics(DirectedNodeEdgeGraph<NodeNameType>) - Constructor for class gov.sandia.cognition.graph.GraphMetrics: Initialize this as an empty metrics class surrounding the input graph.
GraphUtil - Class in gov.sandia.cognition.graph: Stores a variety of static utility methods for the graph package.
GraphUtil() - Constructor for class gov.sandia.cognition.graph.GraphUtil
GraphWalker<NodeNameType> - Class in gov.sandia.cognition.graph: This class provides the core functionality for any random, deterministic, or probabilistic graph walking code as long as only one edge can be traversed from any given node (that is a depth-first or breadth-first can't be implemented by this as it doesn't permit a queue of nodes to visit, but only a single element "next node to visit").
GraphWalker(DirectedNodeEdgeGraph<NodeNameType>, GraphWalker.NextNodeSelector<NodeNameType>) - Constructor for class gov.sandia.cognition.graph.GraphWalker: Initializes a new graph walker with as-yet empty metrics
GraphWalker(DirectedNodeEdgeGraph<NodeNameType>, GraphWalker.NextNodeSelector<NodeNameType>, GraphMetrics<NodeNameType>) - Constructor for class gov.sandia.cognition.graph.GraphWalker: Initializes a new graph walker with the input values
GraphWalker.NextNodeSelector<NodeNameType> - Interface in gov.sandia.cognition.graph: This interface defines the method needed by the GraphWalker class to implement all features of graph walking _except_ the algorithm used to select the next node to visit
GraphWalker.RandomWalker<NodeNameType> - Class in gov.sandia.cognition.graph: This class implements the most simple walker which randomly selects from the available edges.
GraphWrappingEnergyFunction<LabelType,NodeNameType> - Class in gov.sandia.cognition.graph.inference: This class is a simple wrapper for any input graph becoming a BP-capable graph.
GraphWrappingEnergyFunction(DirectedNodeEdgeGraph<NodeNameType>, GraphWrappingEnergyFunction.PotentialHandler<LabelType, NodeNameType>) - Constructor for class gov.sandia.cognition.graph.inference.GraphWrappingEnergyFunction: Creates a new instance of this class containing the input graph (shallow copy -- don't change it after this!) and the handler for problem-specific details (also only a shallow copy).
GraphWrappingEnergyFunction.PotentialHandler<LabelType,NodeNameType> - Interface in gov.sandia.cognition.graph.inference: This interface defines the problem-specific methods this class requires as input
Greedy() - Constructor for class gov.sandia.cognition.learning.algorithm.perceptron.kernel.Forgetron.Greedy: Creates a new Forgetron.Greedy with a null kernel and default budget.
Greedy(Kernel<? super InputType>, int) - Constructor for class gov.sandia.cognition.learning.algorithm.perceptron.kernel.Forgetron.Greedy: Creates a new Forgetron.Greedy with the given kernel and budget.
GreedyClusterInitializer<ClusterType extends Cluster<DataType>,DataType> - Class in gov.sandia.cognition.learning.algorithm.clustering.initializer: Implements a FixedClusterInitializer that greedily attempts to create the initial clusters.
GreedyClusterInitializer() - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.initializer.GreedyClusterInitializer: Creates a new, empty instance of GreedyClusterInitializer.
GreedyClusterInitializer(DivergenceFunction<? super DataType, ? super DataType>, ClusterCreator<ClusterType, DataType>, Random) - Constructor for class gov.sandia.cognition.learning.algorithm.clustering.initializer.GreedyClusterInitializer: Creates a new instance of GreedyClusterInitializer.
growVectors(int) - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractEntropyBasedGlobalTermWeighter
growVectors(int) - Method in class gov.sandia.cognition.text.term.vector.weighter.global.AbstractFrequencyBasedGlobalTermWeighter: Called when the dimensionality of the term vector grows.
GZIPSerializationHandler<SerializedType> - Class in gov.sandia.cognition.io.serialization: Implements a serialization handler that uses the GZip compression algorithm on the output.
GZIPSerializationHandler() - Constructor for class gov.sandia.cognition.io.serialization.GZIPSerializationHandler: Creates a new GZIPSerializationHandler that uses the default JavaBinarySerializationHandler.
GZIPSerializationHandler(StreamSerializationHandler<SerializedType>) - Constructor for class gov.sandia.cognition.io.serialization.GZIPSerializationHandler: Creates a new GZIPSerializationHandler that will use the given base handler.

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