S-Index (S-Space Package 2.0.1 API)

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

S

S - Variable in class ch.akuhn.edu.mit.tedlab.SVDRec
s - Variable in class org.tartarus.snowball.Among
s_size - Variable in class org.tartarus.snowball.Among
SamplingSubgraphIterator<T extends Edge> - Class in edu.ucla.sspace.graph: An implementation of the Randomized EnumerateSubgraphs (RAND-ESU) method from Wernicke (2006), which provides a unbiased random sampling of the size-k subgraphs of an input graph.
SamplingSubgraphIterator(Graph<T>, int, double[]) - Constructor for class edu.ucla.sspace.graph.SamplingSubgraphIterator: Constructs an iterator over all the subgraphs of g with the specified subgraph size, where the list of probabilities is used to decide probabilistically whether the next level of expansion should be taken.
save(SemanticSpace, String) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO: Writes the data contained in the SemanticSpace to the file with the provided name using the SemanticSpaceIO.SSpaceFormat.TEXT format.
save(SemanticSpace, File) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO: Writes the data contained in the SemanticSpace to the provided file using the SemanticSpaceIO.SSpaceFormat.TEXT format.
save(SemanticSpace, File, SemanticSpaceIO.SSpaceFormat) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO: Writes the data contained in the SemanticSpace to the provided file and format.
save(Map<String, TernaryVector>, File) - Static method in class edu.ucla.sspace.ri.IndexVectorUtil: Saves the mapping from word to TernaryVector to the specified file.
save(Object, String) - Static method in class edu.ucla.sspace.util.SerializableUtil: Serializes the object to the provided file.
save(Object, File) - Static method in class edu.ucla.sspace.util.SerializableUtil: Serializes the object to the provided file.
save(Object, OutputStream) - Static method in class edu.ucla.sspace.util.SerializableUtil: Serializes the object to the provided stream.
save(Object) - Static method in class edu.ucla.sspace.util.SerializableUtil: Serializes the object to a byte array.
saveObject(ObjectOutputStream, Object) - Method in class edu.ucla.sspace.mains.GenericWordsiMain: Writes the obj to the given ObjectOutputStream.
saveSSpace(SemanticSpace, File) - Method in class edu.ucla.sspace.mains.GenericMain: Serializes the SemanticSpace object to outputFile.
saveSSpace(SemanticSpace, File) - Method in class edu.ucla.sspace.tools.BasisMaker: Saves the BasisMapping created from the BasisMaker.OccurrenceCounter.
saveSSpace(SemanticSpace, File) - Method in class edu.ucla.sspace.tools.DependencyBasisMaker: Saves the BasisMapping created from the DependencyBasisMaker.OccurrenceCounter.
scaleByMagnitude(DoubleVector) - Static method in class edu.ucla.sspace.vector.Vectors
scaleByMagnitude(SparseDoubleVector) - Static method in class edu.ucla.sspace.vector.Vectors
scaledClassFeatures - Variable in class edu.ucla.sspace.matrix.factorization.AbstractSvd: Set to true when classFeatures has been accessed the first time to mark that the singular values have been applied to each value in the matrix.
scaledDataClasses - Variable in class edu.ucla.sspace.matrix.factorization.AbstractSvd: Set to true when dataClasses has been accessed the first time to mark that the singular values have been applied to each value in the matrix.
ScaledDoubleVector - Class in edu.ucla.sspace.vector: A decorator for DoubleVectors that scales every value in a given DoubleVector by some non zero scale.
ScaledDoubleVector(DoubleVector, double) - Constructor for class edu.ucla.sspace.vector.ScaledDoubleVector: Creates a new ScaledDoubleVector that decorates a given DoubleVector by scaling each value in vector by scale.
ScaledSparseDoubleVector - Class in edu.ucla.sspace.vector: A decorator for SparseDoubleVectors that scales every value in a given DoubleVector by some non zero scale.
ScaledSparseDoubleVector(SparseDoubleVector, double) - Constructor for class edu.ucla.sspace.vector.ScaledSparseDoubleVector: Creates a new ScaledSparseDoubleVector that decorates a given SparseDoubleVector by scaling each value in vector by scale.
score() - Method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns the score computed by this CriterionFunction.
score() - Method in interface edu.ucla.sspace.clustering.criterion.CriterionFunction: Returns the score computed by this CriterionFunction.
score() - Method in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: Returns the score computed by this CriterionFunction.
score(int, int, int, int) - Method in class edu.ucla.sspace.common.statistics.ChiSquaredTest: Returns the Χ² test statistic
score(int, int, int, int) - Method in class edu.ucla.sspace.common.statistics.GTest: Returns the G-test statistic
score(int, int, int, int) - Method in class edu.ucla.sspace.common.statistics.LogLikelihoodTest: Returns the log-likelihood test statistic
score(int, int, int, int) - Method in class edu.ucla.sspace.common.statistics.PointwiseMutualInformationTest: Returns the PMI score of the both A and B.
score(int, int, int, int) - Method in interface edu.ucla.sspace.common.statistics.SignificanceTest
score() - Method in interface edu.ucla.sspace.evaluation.WordChoiceReport: Returns the score, ranged between 0 and 100, achieved on a particlar evaluation.
scorePath(DependencyPath) - Method in interface edu.ucla.sspace.dependency.DependencyPathWeight: Returns the score of the provided DependencyPath.
scorePath(DependencyPath) - Method in class edu.ucla.sspace.dependency.FlatPathWeight: Returns the score of the provided DependencyPath.
scorePath(DependencyPath) - Method in class edu.ucla.sspace.dependency.LengthPathWeight: Returns the score of the provided DependencyPath.
scorePath(DependencyPath) - Method in class edu.ucla.sspace.dependency.RelationPathWeight: Returns the score of the provided DependencyPath.
scorePath(DependencyPath) - Method in class edu.ucla.sspace.dependency.RelationSumPathWeight: Returns the score of the provided DependencyPath.
SEED_PROPERTY - Static variable in class edu.ucla.sspace.clustering.DirectClustering: A property for setting the KMeansSeed algorithm to use.
selectHigh(Map<String, Double>, Set<String>) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
SelectionalPreference - Class in edu.ucla.sspace.svs
SelectionalPreference(VectorCombinor) - Constructor for class edu.ucla.sspace.svs.SelectionalPreference
selectLow(Map<String, Double>, Set<String>) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
selectMed(Map<String, Double>, Set<String>) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
SelectTopKWords - Class in edu.ucla.sspace.tools
SelectTopKWords() - Constructor for class edu.ucla.sspace.tools.SelectTopKWords
selectWord(List<Map<String, Double>>, int) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
SelPrefDependencyContextGenerator - Class in edu.ucla.sspace.wordsi: A DependencyContextGenerator that marks each co-occurrence with ordering information.
SelPrefDependencyContextGenerator(StructuredVectorSpace) - Constructor for class edu.ucla.sspace.wordsi.SelPrefDependencyContextGenerator: Constructs a new SelPrefDependencyContextGenerator.
selPreferences - Variable in class edu.ucla.sspace.svs.SelectionalPreference
SelPrefWordsiMain - Class in edu.ucla.sspace.mains: A dependency based executable class for running Wordsi.
SelPrefWordsiMain() - Constructor for class edu.ucla.sspace.mains.SelPrefWordsiMain
SEMANTIC_PARTITION_DURATION_PROPERTY - Static variable in class edu.ucla.sspace.tri.FixedDurationTemporalRandomIndexing: The property to set duration of a semantic partition using a TimeSpan configuration string.
SemanticSpace - Interface in edu.ucla.sspace.common: A common interface for interacting with semantic space models of meaning.
SemanticSpaceExplorer - Class in edu.ucla.sspace.tools: A utility class that operates as a command-line tool for interacting with semantic space files.
SemanticSpaceIO - Class in edu.ucla.sspace.common: A collection of utility methods for reading and writing SemanticSpace instances.
SemanticSpaceIO.SSpaceFormat - Enum in edu.ucla.sspace.common: The type of formatting to use when writing a semantic space to a file.
SemanticSpaceMatrix - Class in edu.ucla.sspace.util: A Matrix implementation whose data is backed by a SemanticSpace.
SemanticSpaceMatrix(SemanticSpace) - Constructor for class edu.ucla.sspace.util.SemanticSpaceMatrix: Creates a Matrix whose data is backed by the provided SemanticSpace.
SemanticSpaceWriter - Class in edu.ucla.sspace.common: An output utility to write a SemanticSpace incrementally, one vector at a time.
SemanticSpaceWriter(File, SemanticSpaceIO.SSpaceFormat) - Constructor for class edu.ucla.sspace.common.SemanticSpaceWriter: Creates a SemanticSpaceWriter that will write a SemanticSpace to the provided file in the specified format.
SemEvalContextExtractor - Class in edu.ucla.sspace.wordsi.semeval: A ContextExtractor for handling SemEval or SenseEval corpora.
SemEvalContextExtractor(ContextGenerator, int) - Constructor for class edu.ucla.sspace.wordsi.semeval.SemEvalContextExtractor: Creates a new SemEvalContextExtractor.
SemEvalContextExtractor(ContextGenerator, int, String) - Constructor for class edu.ucla.sspace.wordsi.semeval.SemEvalContextExtractor: Creates a new SemEvalContextExtractor.
SemEvalCorpusReader - Class in edu.ucla.sspace.text.corpora: Reads the xml corpus files for the SemEval 2010 Word Sense Induction task, available here.
SemEvalCorpusReader() - Constructor for class edu.ucla.sspace.text.corpora.SemEvalCorpusReader
SemEvalCorpusReader.SemEvalHandler - Class in edu.ucla.sspace.text.corpora
SemEvalCorpusReader.SemEvalHandler() - Constructor for class edu.ucla.sspace.text.corpora.SemEvalCorpusReader.SemEvalHandler
SemEvalDependencyContextExtractor - Class in edu.ucla.sspace.wordsi.semeval: A SenseEval/SemEval based DependencyContextExtractor.
SemEvalDependencyContextExtractor(DependencyExtractor, DependencyContextGenerator) - Constructor for class edu.ucla.sspace.wordsi.semeval.SemEvalDependencyContextExtractor: Creates a new SemEvalDependencyContextExtractor.
SemEvalLexSubReader - Class in edu.ucla.sspace.text.corpora: Reads the xml corpus files for the SemEval 2010 Lexical Substition task, available here.
SemEvalLexSubReader() - Constructor for class edu.ucla.sspace.text.corpora.SemEvalLexSubReader
SemEvalLexSubReader.SemEvalHandler - Class in edu.ucla.sspace.text.corpora
SemEvalLexSubReader.SemEvalHandler() - Constructor for class edu.ucla.sspace.text.corpora.SemEvalLexSubReader.SemEvalHandler
SemEvalReporter - Class in edu.ucla.sspace.wordsi.semeval: A AssignmentReporter that creates a SenseEval or SemEval answer key.
SemEvalReporter(OutputStream) - Constructor for class edu.ucla.sspace.wordsi.semeval.SemEvalReporter: Creates a new SemEvalReporter.
SenseEvalDependencyCorpusReader - Class in edu.ucla.sspace.text.corpora: A corpus reader for the SenseEvalDependency corpus.
SenseEvalDependencyCorpusReader() - Constructor for class edu.ucla.sspace.text.corpora.SenseEvalDependencyCorpusReader
SenseEvalDependencyCorpusReader - Class in edu.ucla.sspace.text: A corpus reader for the SenseEvalDependency corpus.
SenseEvalDependencyCorpusReader() - Constructor for class edu.ucla.sspace.text.SenseEvalDependencyCorpusReader
SenseEvalDependencyCorpusReader.InnerIterator - Class in edu.ucla.sspace.text
SenseEvalDependencyCorpusReader.InnerIterator(Iterator<File>) - Constructor for class edu.ucla.sspace.text.SenseEvalDependencyCorpusReader.InnerIterator
SenseEvalDependencyCorpusReader.SenseEvalIterator - Class in edu.ucla.sspace.text.corpora
SenseEvalDependencyCorpusReader.SenseEvalIterator(NodeList) - Constructor for class edu.ucla.sspace.text.corpora.SenseEvalDependencyCorpusReader.SenseEvalIterator
SerializableUtil - Class in edu.ucla.sspace.util: A utility class for loading and saving typed Serializable objects from files, streams and readers.
set(int, Assignment) - Method in class edu.ucla.sspace.clustering.Assignments: Sets Assignment i to have value assignment.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Throws an UnsupportedOperationException if called (matrix is unmodifiable).
set(int, int, double) - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in interface edu.ucla.sspace.matrix.Matrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SparseHashMatrix: Throws an UnsupportedOperationException if called (matrix is unmodifiable).
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SparseSymmetricMatrix: Throws an UnsupportedOperationException if called (matrix is unmodifiable).
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SymmetricMatrix: Throws an UnsupportedOperationException if called (matrix is unmodifiable).
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Sets the location at the row and column to the provided value.
set(int, int, double) - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Sets the location at the row and column to the provided value.
set(int, E) - Method in class edu.ucla.sspace.util.GrowableArrayList
set(int, V) - Method in class edu.ucla.sspace.util.IntegerMap: Sets the object as the value at the index.
set(int, int, double) - Method in class edu.ucla.sspace.util.SemanticSpaceMatrix: Throws an UnsupportedOperationException if called (matrix is unmodifiable).
set - Variable in class edu.ucla.sspace.util.SetDecorator
set(int, T) - Method in interface edu.ucla.sspace.util.SparseArray: Sets the object as the value at the index.
set(int, Double) - Method in class edu.ucla.sspace.util.SparseDoubleArray: Sets the object as the value at the index.
set(int, T) - Method in class edu.ucla.sspace.util.SparseHashArray: Sets the object as the value at the index.
set(int, Integer) - Method in class edu.ucla.sspace.util.SparseIntArray: Sets the object as the value at the index.
set(int, Integer) - Method in class edu.ucla.sspace.util.SparseIntHashArray: Sets the object as the value at the index.
set(int, Long) - Method in class edu.ucla.sspace.util.SparseLongArray: Sets the object as the value at the index.
set(int, double) - Method in class edu.ucla.sspace.vector.AbstractDoubleVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, Number) - Method in class edu.ucla.sspace.vector.AbstractDoubleVector: Set the value in the vector (optional operation).
set(int, int) - Method in class edu.ucla.sspace.vector.AbstractIntegerVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, Number) - Method in class edu.ucla.sspace.vector.AbstractIntegerVector: Set the value in the vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.AbstractVector: Set the value in the vector (optional operation).
set(int, double) - Method in class edu.ucla.sspace.vector.AmortizedSparseVector: Sets the length in this vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.AmortizedSparseVector: Set the value in the vector (optional operation).
set(double[]) - Method in class edu.ucla.sspace.vector.AmortizedSparseVector: Note that any values which are 0 are left out of the vector.
set(int, double) - Method in class edu.ucla.sspace.vector.AtomicSparseVector: Sets the length in this vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.AtomicSparseVector: Set the value in the vector (optional operation).
set(int, double) - Method in class edu.ucla.sspace.vector.AtomicVector: Sets the length in this vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.AtomicVector: Set the value in the vector (optional operation).
set(int, int) - Method in class edu.ucla.sspace.vector.CompactSparseIntegerVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(double[]) - Method in class edu.ucla.sspace.vector.CompactSparseVector
set(int, double) - Method in class edu.ucla.sspace.vector.CompactSparseVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, double) - Method in class edu.ucla.sspace.vector.DenseDynamicMagnitudeVector: Sets the length in this vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.DenseDynamicMagnitudeVector: Set the value in the vector (optional operation).
set(int, int) - Method in class edu.ucla.sspace.vector.DenseIntVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, double) - Method in class edu.ucla.sspace.vector.DenseVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, double) - Method in interface edu.ucla.sspace.vector.DoubleVector: Sets the length in this vector (optional operation).
set(int, int) - Method in interface edu.ucla.sspace.vector.IntegerVector: Sets the value in this vector (optional operation).
set(int, double) - Method in class edu.ucla.sspace.vector.MaskedDoubleVectorView: Sets the length in this vector (optional operation).
set(int, double) - Method in class edu.ucla.sspace.vector.ScaledDoubleVector: Sets the length in this vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.ScaledDoubleVector: Set the value in the vector (optional operation).
set(int, Number) - Method in class edu.ucla.sspace.vector.SparseHashDoubleVector: Set the value in the vector (optional operation).
set(int, double) - Method in class edu.ucla.sspace.vector.SparseHashDoubleVector: Sets the length in this vector (optional operation).
set(int, int) - Method in class edu.ucla.sspace.vector.SparseHashIntegerVector: Throws an UnsupportedOperationException if called (vector is unmodifiable).
set(int, Number) - Method in class edu.ucla.sspace.vector.SparseHashVector: Set the value in the vector (optional operation).
set(int, int) - Method in class edu.ucla.sspace.vector.TernaryVector: Throws UnsupportedOperationException if called.
set(int, Number) - Method in class edu.ucla.sspace.vector.TernaryVector: Throws UnsupportedOperationException if called.
set(int, Number) - Method in interface edu.ucla.sspace.vector.Vector: Set the value in the vector (optional operation).
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in interface edu.ucla.sspace.matrix.Matrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in interface edu.ucla.sspace.matrix.Matrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, double[]) - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Sets the values for the column of this Matrix using the provided array.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setColumn(int, DoubleVector) - Method in class edu.ucla.sspace.util.SemanticSpaceMatrix: Sets the values for the column of this Matrix using the provided DoubleVector.
setCurrent(String) - Method in class org.tartarus.snowball.SnowballProgram: Set the current string.
setDecimateInFrequency() - Method in class jnt.FFT.ComplexDoubleFFT_Radix2
setDecimateInFrequency() - Method in class jnt.FFT.ComplexFloatFFT_Radix2
setDecimateInTime() - Method in class jnt.FFT.ComplexDoubleFFT_Radix2
setDecimateInTime() - Method in class jnt.FFT.ComplexFloatFFT_Radix2
SetDecorator<T> - Class in edu.ucla.sspace.util: A wrapper around an existing Set implementation that allows subclasses to modify or extend the functionality of am existing Set instance by overriding some of its methods.
SetDecorator(Set<T>) - Constructor for class edu.ucla.sspace.util.SetDecorator
setFunctions(SimilarityFunction, SimilarityFunction) - Method in interface edu.ucla.sspace.matrix.AffinityMatrixCreator: Sets the SimilarityFunctions to be used for selecting edges and then weighting edges.
setFunctions(SimilarityFunction, SimilarityFunction) - Method in class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator: Sets the SimilarityFunctions to be used for selecting edges and then weighting edges.
setFunctions(SimilarityFunction, SimilarityFunction) - Method in class edu.ucla.sspace.matrix.NearestNeighborAffinityMatrixCreator: Sets the SimilarityFunctions to be used for selecting edges and then weighting edges.
setLevel(Level) - Static method in class edu.ucla.sspace.util.LoggerUtil: Sets the output level of the S-Space package according to the desired level.
setLevel(String, Level) - Static method in class edu.ucla.sspace.util.LoggerUtil: Sets the output level of the provided logging namespace according to the desired level.
setParams(double...) - Method in interface edu.ucla.sspace.matrix.AffinityMatrixCreator: Sets any numeric parameters, such as thresholds, for this AffinityMatrixCreator.
setParams(double...) - Method in class edu.ucla.sspace.matrix.MinSimilarityAffinityMatrixCreator
setParams(double...) - Method in class edu.ucla.sspace.matrix.NearestNeighborAffinityMatrixCreator
setParams(double...) - Method in class edu.ucla.sspace.similarity.AbstractSymmetricSimilarityFunction: Performs a no-op and sets no parameters
setParams(double...) - Method in class edu.ucla.sspace.similarity.GaussianKernel: Sets the exponent weight of the gaussian kernel.
setParams(double...) - Method in class edu.ucla.sspace.similarity.KLDivergence: Does nothing
setParams(double...) - Method in class edu.ucla.sspace.similarity.PolynomialKernel: Sets the first degree of the polynomial.
setParams(double...) - Method in interface edu.ucla.sspace.similarity.SimilarityFunction: Sets an double parameters, such as weights, for this SimilarityFunction.
setPrimitive(int, double) - Method in class edu.ucla.sspace.util.SparseDoubleArray: Sets the value of the index to the value using the Java primitives without auto-boxing.
setPrimitive(int, int) - Method in class edu.ucla.sspace.util.SparseIntArray: Sets the value of the index to the value using the Java primitives without auto-boxing.
setPrimitive(int, long) - Method in class edu.ucla.sspace.util.SparseLongArray: Sets the value of the index to the value using the Java primitives without auto-boxing.
setProperties(Properties) - Static method in class edu.ucla.sspace.text.IteratorFactory: Reconfigures the type of iterator returned by this factory based on the specified properties.
setReadOnly(boolean) - Method in class edu.ucla.sspace.basis.AbstractBasisMapping: Sets the read only state of the basis mapping.
setReadOnly(boolean) - Method in interface edu.ucla.sspace.basis.BasisMapping: Sets the read only state of the basis mapping.
setReadOnly(boolean) - Method in class edu.ucla.sspace.dv.PathBasedBasisMapping: Sets the read only state of the basis mapping.
setReadOnly(boolean) - Method in class edu.ucla.sspace.dv.RelationPathBasisMapping: Sets the read only state of the basis mapping.
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.AbstractOccurrenceDependencyContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in interface edu.ucla.sspace.wordsi.ContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in interface edu.ucla.sspace.wordsi.DependencyContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.RandomIndexingContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.RandomIndexingDependencyContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.SelPrefDependencyContextGenerator: A No-op
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.WordOccrrenceContextGenerator: Sets the read only mode of the ContextGenerator.
setReadOnly(boolean) - Method in class edu.ucla.sspace.wordsi.WordOccrrenceDependencyContextGenerator: Sets the read only mode of the ContextGenerator.
setResourceFinder(ResourceFinder) - Static method in class edu.ucla.sspace.text.IteratorFactory: Sets the ResourceFinder used by the iterator factory to locate its file-based resources when configuring the tokenization.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AbstractMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.ArrayMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseHashMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.AtomicGrowingSparseMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.CellMaskedMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.DiagonalMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.GrowingSparseMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in interface edu.ucla.sspace.matrix.Matrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in interface edu.ucla.sspace.matrix.Matrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.OnDiskMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.RowMaskedMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.RowScaledMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SynchronizedMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.TransposedMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, double[]) - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Sets the values for the row of this Matrix using the provided array.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.matrix.YaleSparseMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setRow(int, DoubleVector) - Method in class edu.ucla.sspace.util.SemanticSpaceMatrix: Sets the values for the row of this Matrix using the provided DoubleVector.
setSemanticFilter(Set<String>) - Method in interface edu.ucla.sspace.common.Filterable: Specifies the set of words that should have their semantics retained, where all other words do not.
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.dri.DependencyRandomIndexing: .
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.gws.GenericWordSpace: Specifies the set of words that should have their semantics retained, where all other words do not.
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.ri.RandomIndexing: Specifies the set of words that should have their semantics retained, where all other words do not.
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.rri.ReflectiveRandomIndexing: Specifies the set of words that should have their semantics retained, where all other words do not.
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.svs.StructuredVectorSpace: .
setSemanticFilter(Set<String>) - Method in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: Sets a filter such that only words that are in the set have their semantics retained by this instance.
setTest(SignificanceTest) - Method in class edu.ucla.sspace.text.TermAssociationFinder
setup(Matrix, int[], int) - Method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Creates the cluster centroids and any other meta data needed by this CriterionFunction.
setup(Matrix, int[], int) - Method in interface edu.ucla.sspace.clustering.criterion.CriterionFunction: Creates the cluster centroids and any other meta data needed by this CriterionFunction.
setup(Matrix, int[], int) - Method in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: Creates the cluster centroids and any other meta data needed by this CriterionFunction.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.BloglinesCorpusReader.InnerIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.ChildesCorpusReader.InnerIterator: Parses the content of the given file and extracts the set of utterances.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.corpora.BloglinesCorpusReader.BloglinesIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.corpora.ChildesCorpusReader.ChildesFileIterator: Parses the content of the given file and extracts the set of utterances.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.corpora.TemporalBloglinesCorpusReader.BloglinesIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.corpora.TemporalUsenetCorpusReader.UseNetIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.corpora.UsenetCorpusReader.UseNetIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.DirectoryCorpusReader.BaseFileIterator: Sets up any data members needed to process the current file being processed.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.SenseEvalDependencyCorpusReader.InnerIterator: Sets up any data members needed to process the current file being processed.
setupCurrentDoc(File) - Method in class edu.ucla.sspace.text.UsenetCorpusReader.InnerIterator: Sets up a BufferedReader to read through a single file with multiple blog entries.
setupDependencyExtractor() - Method in class edu.ucla.sspace.mains.DependencyGenericMain: Links the desired DependencyExtractor with the DependencyExtractorManager, creating the DependencyExtractor with optional configuration file, if it is not null, and any TokenFilters or Stemmers that have been specified by the command line.
setupOptions() - Method in class edu.ucla.sspace.mains.GenericMain: Adds the default options for running semantic space algorithms from the command line.
setupOptions() - Method in class edu.ucla.sspace.mains.GrefenstetteMain: Adds the options for running the Grefenstette algorithm
setupOptions() - Static method in class edu.ucla.sspace.tools.BlogPreProcessor
setupProperties() - Method in class edu.ucla.sspace.mains.DependencyVectorSpaceMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.ESAMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.FixedDurationTemporalRandomIndexingMain: Returns the Properties used to set up the semantic space.
setupProperties() - Method in class edu.ucla.sspace.mains.GenericMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.GwsMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.HALMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.IsaMain
setupProperties() - Method in class edu.ucla.sspace.mains.LpcsMain
setupProperties() - Method in class edu.ucla.sspace.mains.LpsaMain
setupProperties() - Method in class edu.ucla.sspace.mains.PurandareMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.RandomIndexingMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.ReflectiveRandomIndexingMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.StructuredVectorSpaceMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setupProperties() - Method in class edu.ucla.sspace.mains.VsmMain: Returns the Properties object that will be used when calling SemanticSpace.processSpace(Properties).
setWordToIndexVector(Map<String, TernaryVector>) - Method in class edu.ucla.sspace.dri.DependencyRandomIndexing: Assigns the word to IntegerVector mapping to be used by this instance.
setWordToIndexVector(Map<String, TernaryVector>) - Method in class edu.ucla.sspace.isa.IncrementalSemanticAnalysis: Assigns the token to IntegerVector mapping to be used by this instance.
setWordToIndexVector(Map<String, TernaryVector>) - Method in class edu.ucla.sspace.ri.RandomIndexing: Assigns the token to IntegerVector mapping to be used by this instance.
setWordToIndexVector(Map<String, TernaryVector>) - Method in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: Assigns the token to TernaryVector mapping to be used by this instance.
setWordToVectorMap(Map<String, TernaryVector>) - Method in class edu.ucla.sspace.dri.DependencyRandomIndexing
severe(Logger, String, Object...) - Static method in class edu.ucla.sspace.util.LoggerUtil: Prints Level.SEVERE messages to the provided Logger.
shouldPartitionSpace(long) - Method in class edu.ucla.sspace.tri.FixedDurationTemporalRandomIndexing: Returns true if the time stamp for the next document would exceed the duration of the current semantic partition.
shouldPartitionSpace(long) - Method in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: Returns true if the current contents of this semantic space should be partitioned and discarded prior to processing the next document with the specified time stamp.
shufflePreserve(Graph<E>, int) - Static method in class edu.ucla.sspace.graph.Graphs: Shuffles the edges of g while still preserving the degree sequence of the graph.
shufflePreserve(Graph<E>, int, Random) - Static method in class edu.ucla.sspace.graph.Graphs: Shuffles the edges of g while still preserving the degree sequence of the graph.
shufflePreserveType(Multigraph<T, E>, int) - Static method in class edu.ucla.sspace.graph.Graphs: Shuffles the edges of g while still preserving the degree sequence of the graph and that edges are only swapped with those of the same type.
shufflePreserveType(Multigraph<T, E>, int, Random) - Static method in class edu.ucla.sspace.graph.Graphs: Shuffles the edges of g while still preserving the degree sequence of the graph and that edges are only swapped with those of the same type.
SignificanceTest - Interface in edu.ucla.sspace.common.statistics
sim - Variable in class edu.ucla.sspace.clustering.NeighborChainAgglomerativeClustering.Link: The similarity between the current cluster and it's parent in the chain.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.AverageCommonFeatureRank: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.AverageCommonFeatureRank: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.AverageCommonFeatureRank: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.CosineSimilarity: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.CosineSimilarity: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.CosineSimilarity: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.DotProduct: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.DotProduct: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.DotProduct: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.EuclideanSimilarity: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.EuclideanSimilarity: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.EuclideanSimilarity: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.GaussianKernel: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.GaussianKernel: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.GaussianKernel: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.JaccardIndex: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.JaccardIndex: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.JaccardIndex: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.KendallsTau: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.KendallsTau: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.KendallsTau: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.KLDivergence: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.KLDivergence: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.KLDivergence: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.LinSimilarity: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.LinSimilarity: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.LinSimilarity: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.OneSimilarity: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.OneSimilarity: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.OneSimilarity: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.PearsonCorrelation: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.PearsonCorrelation: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.PearsonCorrelation: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.PolynomialKernel: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.PolynomialKernel: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.PolynomialKernel: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in interface edu.ucla.sspace.similarity.SimilarityFunction: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in interface edu.ucla.sspace.similarity.SimilarityFunction: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in interface edu.ucla.sspace.similarity.SimilarityFunction: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.SpearmanRankCorrelation: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.SpearmanRankCorrelation: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.SpearmanRankCorrelation: Returns the similarity between v1 and v2.
sim(DoubleVector, DoubleVector) - Method in class edu.ucla.sspace.similarity.TanimotoCoefficient: Returns the similarity between v1 and v2.
sim(IntegerVector, IntegerVector) - Method in class edu.ucla.sspace.similarity.TanimotoCoefficient: Returns the similarity between v1 and v2.
sim(Vector, Vector) - Method in class edu.ucla.sspace.similarity.TanimotoCoefficient: Returns the similarity between v1 and v2.
similarity() - Method in class edu.ucla.sspace.clustering.Merge: Returns the similarity of the two clusters at the time of their merging.
Similarity - Class in edu.ucla.sspace.common: A collection of static methods for computing the similarity, distances, correlations, and all other vectorized value comparisons between vectors and arrays.
Similarity.SimType - Enum in edu.ucla.sspace.common: A type of similarity function to use when generating a Method
SIMILARITY_FUNCTION_PROPERTY - Static variable in class edu.ucla.sspace.clustering.FastStreamingKMeans: The property for specifying the similarity function with which to compare data points
SIMILARITY_FUNCTION_PROPERTY - Static variable in class edu.ucla.sspace.clustering.HierarchicalAgglomerativeClustering: The property for specifying the similarity function to use.
SimilarityFunction - Interface in edu.ucla.sspace.similarity: An Interface for any similarity metric between two Vectors.
SimilarityListGenerator - Class in edu.ucla.sspace.tools: A utility tool for generating lists of most similar words for each word in a SemanticSpace.
SimilarityListGenerator() - Constructor for class edu.ucla.sspace.tools.SimilarityListGenerator
SimpleDependencyPath - Class in edu.ucla.sspace.dependency: A DependencyPath that supports constant time access to the nodes and relations that make up its sequence.
SimpleDependencyPath(List<DependencyRelation>) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyPath: Creates a SimpleDependencyPath starting at the head node of the first relation in the list.
SimpleDependencyPath(List<DependencyRelation>, boolean) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyPath: Creates a SimpleDependencyPath that starts at either the head node or dependent node of the first relation in the list.
SimpleDependencyPath(DependencyPath) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyPath: Creates new SimpleDependencyPath as a copy of the provided path.
SimpleDependencyPath(DependencyRelation, boolean) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyPath: Creates a SimpleDependencyPath from a single relation, optionally starting at the head node of the relation.
SimpleDependencyPath() - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyPath: Creates an empty dependency path
SimpleDependencyRelation - Class in edu.ucla.sspace.dependency: A simple DependencyRelation implementation holds both related nodes and their relation.
SimpleDependencyRelation(DependencyTreeNode, String, DependencyTreeNode) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyRelation: Creates a SimpleDependencyRelation.
SimpleDependencyTreeNode - Class in edu.ucla.sspace.dependency: A default implementation of a DependencyTreeNode that allows mutating access to the list of neighbors.
SimpleDependencyTreeNode(String, String, int) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyTreeNode: Creates a new SimpleDependencyTreeNode node for the provided word, with the provided part of speech.
SimpleDependencyTreeNode(String, String, String, int) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyTreeNode
SimpleDependencyTreeNode(String, String, int, List<DependencyRelation>) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyTreeNode: Creates a new SimpleDependencyTreeNode node for the provided word, with the provided part of speech and neighbor list.
SimpleDependencyTreeNode(String, String, String, int, List<DependencyRelation>) - Constructor for class edu.ucla.sspace.dependency.SimpleDependencyTreeNode: Creates a new SimpleDependencyTreeNode node for the provided word, with the provided part of speech and neighbor list.
SimpleDirectedEdge - Class in edu.ucla.sspace.graph: An implementation of DirectedEdge
SimpleDirectedEdge(int, int) - Constructor for class edu.ucla.sspace.graph.SimpleDirectedEdge
SimpleDirectedTypedEdge<T> - Class in edu.ucla.sspace.graph: An implementation of an edge that is both a DirectedEdge and a TypedEdge.
SimpleDirectedTypedEdge(T, int, int) - Constructor for class edu.ucla.sspace.graph.SimpleDirectedTypedEdge
SimpleEdge - Class in edu.ucla.sspace.graph: An implementation of an undirected Edge.
SimpleEdge(int, int) - Constructor for class edu.ucla.sspace.graph.SimpleEdge
SimpleGraphIterator<T,E extends TypedEdge<T>> - Class in edu.ucla.sspace.graph: An iterator over the different permutations of parallel edges within a multigraph that result in connected simple graphs of a specified size.
SimpleGraphIterator(Multigraph<T, E>, int) - Constructor for class edu.ucla.sspace.graph.SimpleGraphIterator: Constructs an iterator over all the subgraphs of g with the specified subgraph size.
SimpleMultipleChoiceQuestion - Class in edu.ucla.sspace.evaluation: An implementation of MultipleChoiceQuestion for containing a prompt, list of options and the correct index.
SimpleMultipleChoiceQuestion(String, List<String>, int) - Constructor for class edu.ucla.sspace.evaluation.SimpleMultipleChoiceQuestion: Constructs this question with the provided prompt, options and answer.
SimpleNearestNeighborFinder - Class in edu.ucla.sspace.util: A native NearestNeighborFinder implemetnation for finding the k most-similar words to a provided word in a SemanticSpace using a brute-force search.
SimpleNearestNeighborFinder(SemanticSpace) - Constructor for class edu.ucla.sspace.util.SimpleNearestNeighborFinder: Creates this SimpleNearestNeighborFinder with as many threads as processors, and using the cosine similarity for word comparisons.
SimpleNearestNeighborFinder(SemanticSpace, int) - Constructor for class edu.ucla.sspace.util.SimpleNearestNeighborFinder: Creates this SimpleNearestNeighborFinder with the specified number of threads, using the cosine similarity for word comparisons.
SimpleNearestNeighborFinder(SemanticSpace, SimilarityFunction) - Constructor for class edu.ucla.sspace.util.SimpleNearestNeighborFinder: Creates this SimpleNearestNeighborFinder with as many threads as processings and using the provided similarity function to compare words.
SimpleNearestNeighborFinder(SemanticSpace, SimilarityFunction, int) - Constructor for class edu.ucla.sspace.util.SimpleNearestNeighborFinder: Creates this SimpleNearestNeighborFinder with the specified number of threads and using the provided similarity function to compare words.
SimpleNormedPrimingQuestion - Class in edu.ucla.sspace.evaluation
SimpleNormedPrimingQuestion(String, String[], double[]) - Constructor for class edu.ucla.sspace.evaluation.SimpleNormedPrimingQuestion: Creates a new SimpleMultipleChoiceQuestion from the given pieces of data.
SimpleTypedEdge<T> - Class in edu.ucla.sspace.graph: An implementation of a TypedEdge.
SimpleTypedEdge(T, int, int) - Constructor for class edu.ucla.sspace.graph.SimpleTypedEdge
SimpleWeightedDirectedTypedEdge<T> - Class in edu.ucla.sspace.graph: An implementation of a TypedEdge.
SimpleWeightedDirectedTypedEdge(T, int, int, double) - Constructor for class edu.ucla.sspace.graph.SimpleWeightedDirectedTypedEdge
SimpleWeightedEdge - Class in edu.ucla.sspace.graph: An implementation of an undirected WeightedEdge.
SimpleWeightedEdge(int, int, double) - Constructor for class edu.ucla.sspace.graph.SimpleWeightedEdge: Creates a new edge from the specified vertex to the second vertex with the corresponding weight.
SimpleWeightedTypedEdge<T> - Class in edu.ucla.sspace.graph: An implementation of a TypedEdge.
SimpleWeightedTypedEdge(T, int, int, double) - Constructor for class edu.ucla.sspace.graph.SimpleWeightedTypedEdge
SimpleWordAssociationReport - Class in edu.ucla.sspace.evaluation: An implementation of WordAssociationTest.
SimpleWordAssociationReport(int, double, int) - Constructor for class edu.ucla.sspace.evaluation.SimpleWordAssociationReport: Creates a simple report
SimpleWordSimilarity - Class in edu.ucla.sspace.evaluation: The default implementation of WordSimilarity
SimpleWordSimilarity(String, String, double) - Constructor for class edu.ucla.sspace.evaluation.SimpleWordSimilarity
simToComplete - Variable in class edu.ucla.sspace.clustering.criterion.HybridBaseFunction: The distance of each centroid to completeCentroid.
SingularValueDecompositionLibC - Class in edu.ucla.sspace.matrix.factorization: A wrapper around the LibC implentation of Singular Value Decomposition.
SingularValueDecompositionLibC() - Constructor for class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionLibC
SingularValueDecompositionLibJ - Class in edu.ucla.sspace.matrix.factorization: A wrapper around the SvdlibjDriver that implements the MatrixFactorization interface.
SingularValueDecompositionLibJ() - Constructor for class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionLibJ
SingularValueDecompositionMatlab - Class in edu.ucla.sspace.matrix.factorization: A wrapper around the Matlab implementation of the SVD.
SingularValueDecompositionMatlab() - Constructor for class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionMatlab
SingularValueDecompositionOctave - Class in edu.ucla.sspace.matrix.factorization: A wrapper around the Octave implementation of the SVD.
SingularValueDecompositionOctave() - Constructor for class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionOctave
singularValues - Variable in class edu.ucla.sspace.matrix.factorization.AbstractSvd: The singular values computed during factorization.
singularValues() - Method in class edu.ucla.sspace.matrix.factorization.AbstractSvd: Returns a double array of the singular values.
singularValues() - Method in class edu.ucla.sspace.matrix.factorization.SingularValueDecompositionLibC: Returns a double array of the singular values.
size() - Method in class edu.ucla.sspace.clustering.Assignments: Returns the number of Assignment objects stored.
size() - Method in class edu.ucla.sspace.clustering.CentroidCluster: Returns the total number of points assigned to this Cluster.
size() - Method in interface edu.ucla.sspace.clustering.Cluster: Returns the total number of points assigned to this Cluster.
size() - Method in interface edu.ucla.sspace.clustering.OnlineClustering: Returns the numeber of Clusters.
size() - Method in class edu.ucla.sspace.clustering.OnlineKMeans.OnlineKMeansClustering: Returns the numeber of Clusters.
size() - Method in class edu.ucla.sspace.clustering.StreamingKMeans.StreamingKMeansClustering: Returns the numeber of Clusters.
size() - Method in class edu.ucla.sspace.clustering.SynchronizedCluster: Returns the total number of points assigned to this Cluster.
size() - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.GenericEdgeSet
size() - Method in interface edu.ucla.sspace.graph.Graph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.GraphAdaptor: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter: Returns the number of unique instances that are currently being counted.
size() - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicSet
size() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter: Returns the number of unique instances that are currently being counted.
size() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphIndexer: Returns the number of isomorphic graphs that are mapped to indices.
size() - Method in class edu.ucla.sspace.graph.SparseDirectedEdgeSet
size() - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet
size() - Method in class edu.ucla.sspace.graph.SparseTypedEdgeSet
size() - Method in class edu.ucla.sspace.graph.SparseUndirectedEdgeSet
size() - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
size() - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet
size() - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns the number of edges in this graph.
size() - Method in class edu.ucla.sspace.util.ArrayMap
size() - Method in class edu.ucla.sspace.util.CharMap: Returns the number of key-value mappings in this trie.
size() - Method in class edu.ucla.sspace.util.CombinedSet: Returns the number of unique items across all sets.
size() - Method in interface edu.ucla.sspace.util.Counter: Returns the number of unique instances that are currently being counted.
size() - Method in class edu.ucla.sspace.util.DisjointSets: Returns the number of unique items across all sets.
size() - Method in class edu.ucla.sspace.util.GeneratorMap
size() - Method in class edu.ucla.sspace.util.HashBiMap
size() - Method in class edu.ucla.sspace.util.HashIndexer: Returns the number of items that are mapped to indices.
size() - Method in class edu.ucla.sspace.util.HashMultiMap: Returns the number of keys that are mapped to one or more values in this multi-map.
size() - Method in class edu.ucla.sspace.util.IndexedCounter: Returns the number of unique instances that are currently being counted.
size() - Method in interface edu.ucla.sspace.util.Indexer: Returns the number of items that are mapped to indices.
size() - Method in class edu.ucla.sspace.util.IntegerMap: Returns the number of key-value mappings in this trie.
size() - Method in interface edu.ucla.sspace.util.MultiMap: Returns the number of keys that are mapped to one or more values in this multi-map.
size() - Method in class edu.ucla.sspace.util.ObjectCounter: Returns the number of instances that are currently being counted.
size() - Method in class edu.ucla.sspace.util.ObjectIndexer: Returns the number of items that are mapped to indices.
size() - Method in class edu.ucla.sspace.util.OpenIntSet
size() - Method in class edu.ucla.sspace.util.PairCounter: Returns the number of pairs that are currently being counted.
size() - Method in class edu.ucla.sspace.util.primitive.CompactIntSet
size() - Method in class edu.ucla.sspace.util.primitive.IntIntHashMultiMap: Returns the number of keys that are mapped to one or more values in this multi-map.
size() - Method in class edu.ucla.sspace.util.primitive.TroveIntSet
size() - Method in class edu.ucla.sspace.util.SetDecorator
size() - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns the number of keys that are mapped to one or more values in this multi-map.
size() - Method in class edu.ucla.sspace.util.TrieMap: Returns the number of key-value mappings in this trie.
size() - Method in class edu.ucla.sspace.util.TrieSet: Returns the number of elements in this set.
slice_check() - Method in class org.tartarus.snowball.SnowballProgram
slice_del() - Method in class org.tartarus.snowball.SnowballProgram
slice_from(String) - Method in class org.tartarus.snowball.SnowballProgram
slice_from(CharSequence) - Method in class org.tartarus.snowball.SnowballProgram
slice_to(StringBuffer) - Method in class org.tartarus.snowball.SnowballProgram
slice_to(StringBuilder) - Method in class org.tartarus.snowball.SnowballProgram
SMat - Class in ch.akuhn.edu.mit.tedlab
SMat(int, int, int) - Constructor for class ch.akuhn.edu.mit.tedlab.SMat
SnowballPorterStemmer - Class in edu.ucla.sspace.text: A wrapper for the porter Snowball Stemmer.
SnowballPorterStemmer() - Constructor for class edu.ucla.sspace.text.SnowballPorterStemmer
SnowballProgram - Class in org.tartarus.snowball
SnowballProgram() - Constructor for class org.tartarus.snowball.SnowballProgram
SnowballStemmer - Class in org.tartarus.snowball
SnowballStemmer() - Constructor for class org.tartarus.snowball.SnowballStemmer
SOFT_CLUSTERING_SIMILARITY_THRESHOLD_PROPERTY - Static variable in class edu.ucla.sspace.clustering.ClusteringByCommittee: The property for specifying a double the threshold used during soft clustering where a point will not be labeled with the committees who are more similar than this value.
SoftAssignment - Class in edu.ucla.sspace.clustering: A set of soft assignment.
SoftAssignment(int[]) - Constructor for class edu.ucla.sspace.clustering.SoftAssignment: Constructs a new SoftAssignment based on the given array of assignments.
SoftAssignment(Collection<Integer>) - Constructor for class edu.ucla.sspace.clustering.SoftAssignment: Creates a new SoftAssignment where the data point is assigned to the specified clusters.
SoftAssignment(Integer...) - Constructor for class edu.ucla.sspace.clustering.SoftAssignment: Creates a new SoftAssignment where the data point is assigned to the specified clusters.
SortedMultiMap<K,V> - Interface in edu.ucla.sspace.util: A MultiMap that provides a total ordering for the keys.
spanishStemmer - Class in org.tartarus.snowball.ext: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
spanishStemmer() - Constructor for class org.tartarus.snowball.ext.spanishStemmer
SparseArray<T> - Interface in edu.ucla.sspace.util: A interface for array-like classes that use a sparse internal representation to save space.
SparseDirectedEdgeSet - Class in edu.ucla.sspace.graph: An EdgeSet implementation that stores DirectedEdge instances for a vertex.
SparseDirectedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseDirectedEdgeSet: Creates a new SparseDirectedEdgeSet for the specfied vertex.
SparseDirectedGraph - Class in edu.ucla.sspace.graph: An implementation of DirectedGraph that uses a sparse backing representation.
SparseDirectedGraph() - Constructor for class edu.ucla.sspace.graph.SparseDirectedGraph: Creates an empty directed graph
SparseDirectedGraph(Set<Integer>) - Constructor for class edu.ucla.sspace.graph.SparseDirectedGraph: Creates a directed graph with the provided vertices
SparseDirectedGraph(Graph<? extends DirectedEdge>) - Constructor for class edu.ucla.sspace.graph.SparseDirectedGraph: Creates a directed graph with a copy of all the vertices and edges in g.
SparseDirectedTypedEdgeSet<T> - Class in edu.ucla.sspace.graph: An EdgeSet implementation that stores DirectedTypedEdge instances for a vertex.
SparseDirectedTypedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet: Creates a new SparseDirectedTypedEdgeSet for the specfied vertex.
SparseDoubleArray - Class in edu.ucla.sspace.util: A sparse double array.
SparseDoubleArray() - Constructor for class edu.ucla.sspace.util.SparseDoubleArray: Creates a sparse double array that grows to the maximum size set by Double.MAX_VALUE.
SparseDoubleArray(int) - Constructor for class edu.ucla.sspace.util.SparseDoubleArray: Creates a sparse double array with a fixed length
SparseDoubleArray(double[]) - Constructor for class edu.ucla.sspace.util.SparseDoubleArray: Creates a sparse array copy of the provided array, retaining only the non-zero values.
SparseDoubleArray(int[], double[], int) - Constructor for class edu.ucla.sspace.util.SparseDoubleArray: Creates a sparse array using the specified indices and their corresponding values.
SparseDoubleVector - Interface in edu.ucla.sspace.vector: An interface for sparse DoubleVector instances.
SparseHashArray<T> - Class in edu.ucla.sspace.util: A sparse array backed by a HashMap.
SparseHashArray() - Constructor for class edu.ucla.sspace.util.SparseHashArray: Creates a sparse array that grows to the maximum size set by Integer.MAX_VALUE.
SparseHashArray(int) - Constructor for class edu.ucla.sspace.util.SparseHashArray: Creates a sparse array with a fixed length
SparseHashArray(T[]) - Constructor for class edu.ucla.sspace.util.SparseHashArray: Creates a sparse array copy of the provided array, retaining only the non-zero values.
SparseHashDoubleVector - Class in edu.ucla.sspace.vector: A SparseVector implementation backed by a Map.
SparseHashDoubleVector(int) - Constructor for class edu.ucla.sspace.vector.SparseHashDoubleVector: Creates a new vector of the specified length
SparseHashDoubleVector(double[]) - Constructor for class edu.ucla.sspace.vector.SparseHashDoubleVector: Creates a new vector using the non-zero values of the specified array.
SparseHashDoubleVector(DoubleVector) - Constructor for class edu.ucla.sspace.vector.SparseHashDoubleVector
SparseHashIntegerVector - Class in edu.ucla.sspace.vector: A SparseVector implementation backed by a HashMap.
SparseHashIntegerVector(int) - Constructor for class edu.ucla.sspace.vector.SparseHashIntegerVector: Creates a new vector of the specified length
SparseHashIntegerVector(int[]) - Constructor for class edu.ucla.sspace.vector.SparseHashIntegerVector: Creates a new vector using the non-zero values of the specified array.
SparseHashMatrix - Class in edu.ucla.sspace.matrix: A SparseMatrix backed by vectors that provide amortized O(1) access to their elements.
SparseHashMatrix(int, int) - Constructor for class edu.ucla.sspace.matrix.SparseHashMatrix: Constructs a sparse matrix with the specified dimensions.
SparseHashVector<T extends Number> - Class in edu.ucla.sspace.vector: A SparseVector implementation backed by a HashMap.
SparseHashVector(int) - Constructor for class edu.ucla.sspace.vector.SparseHashVector: Create a SparseHashVector with the given size, having no non-zero values.
SparseHashVector(T[]) - Constructor for class edu.ucla.sspace.vector.SparseHashVector: Create a SparseHashVector from an array, saving only the non zero entries.
SparseIntArray - Class in edu.ucla.sspace.util: A sparse int array.
SparseIntArray() - Constructor for class edu.ucla.sspace.util.SparseIntArray: Creates a sparse int array that grows to the maximum size set by Integer.MAX_VALUE.
SparseIntArray(int) - Constructor for class edu.ucla.sspace.util.SparseIntArray: Creates a sparse int array with a fixed length
SparseIntArray(int[]) - Constructor for class edu.ucla.sspace.util.SparseIntArray: Creates a sparse array copy of the provided array, retaining only the non-zero values.
SparseIntArray(int[], int[], int) - Constructor for class edu.ucla.sspace.util.SparseIntArray: Creates a sparse array using the specified indices and their corresponding values.
SparseIntegerVector - Interface in edu.ucla.sspace.vector: An interface for sparse IntegerVector instances.
SparseIntHashArray - Class in edu.ucla.sspace.util: A sparse int array.
SparseIntHashArray() - Constructor for class edu.ucla.sspace.util.SparseIntHashArray: Creates a sparse int array that grows to the maximum size set by Integer.MAX_VALUE.
SparseIntHashArray(int) - Constructor for class edu.ucla.sspace.util.SparseIntHashArray: Creates a sparse int array with a fixed length
SparseIntHashArray(int[]) - Constructor for class edu.ucla.sspace.util.SparseIntHashArray: Creates a sparse array copy of the provided array, retaining only the non-zero values.
SparseLongArray - Class in edu.ucla.sspace.util: A sparse long array.
SparseLongArray() - Constructor for class edu.ucla.sspace.util.SparseLongArray: Creates a sparse long array that grows to the maximum size set by Long.MAX_VALUE.
SparseLongArray(int) - Constructor for class edu.ucla.sspace.util.SparseLongArray: Creates a sparse long array with a fixed length
SparseLongArray(long[]) - Constructor for class edu.ucla.sspace.util.SparseLongArray: Creates a sparse array copy of the provided array, retaining only the non-zero values.
SparseMatrix - Interface in edu.ucla.sspace.matrix: An interface for sparse Matrix implementations whose backing data storage permits accessing rows and columns with SparseVector objects.
SparseMatrixConverter - Class in edu.ucla.sspace.tools
SparseMatrixConverter() - Constructor for class edu.ucla.sspace.tools.SparseMatrixConverter
SparseNumericArray<T extends Number> - Interface in edu.ucla.sspace.util: A interface for array-like classes that use a sparse internal representation for numeric values.
SparseOnDiskMatrix - Class in edu.ucla.sspace.matrix: A SparseMatrix implementation that uses a binary file to read and write.
SparseOnDiskMatrix(int, int) - Constructor for class edu.ucla.sspace.matrix.SparseOnDiskMatrix: Create a matrix of the provided size using a temporary file.
SparseRowMaskedMatrix - Class in edu.ucla.sspace.matrix: A tiled view of a SparseMatrix instance where selected rows of the instance a represented as a single, contiguous matrix.
SparseRowMaskedMatrix(SparseMatrix, BitSet) - Constructor for class edu.ucla.sspace.matrix.SparseRowMaskedMatrix: Creates a partial view of the provided sparse matrix using the bits set to true as the rows that should be included
SparseRowMaskedMatrix(SparseMatrix, Set<Integer>) - Constructor for class edu.ucla.sspace.matrix.SparseRowMaskedMatrix: Creates a partial view of the provided sparse matrix using the integers in the set to specify which rows should be included in the matrix.
SparseRowMaskedMatrix(SparseMatrix, int[]) - Constructor for class edu.ucla.sspace.matrix.SparseRowMaskedMatrix: Creates a partial view of the provided sparse matrix using the the integer mapping to specify which rows should be included in the matrix.
SparseSymmetricMatrix - Class in edu.ucla.sspace.matrix: A decorator around a SparseMatrix that keeps only the upper triangular values while providing a symmetric view of the data.
SparseSymmetricMatrix(SparseMatrix) - Constructor for class edu.ucla.sspace.matrix.SparseSymmetricMatrix: Constructs a sparse matrix with the specified dimensions.
SparseTypedEdgeSet<T> - Class in edu.ucla.sspace.graph: An EdgeSet implementation that stores TypedEdge instances for a vertex.
SparseTypedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseTypedEdgeSet: Creates a new SparseTypedEdgeSet for the specfied vertex.
SparseUndirectedEdgeSet - Class in edu.ucla.sspace.graph: A EdgeSet implementation for holding Edge instances.
SparseUndirectedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseUndirectedEdgeSet
SparseUndirectedGraph - Class in edu.ucla.sspace.graph: An undirected implementation of Graph that uses a sparse backing representation.
SparseUndirectedGraph() - Constructor for class edu.ucla.sspace.graph.SparseUndirectedGraph: Creates an empty undirected graph
SparseUndirectedGraph(Set<Integer>) - Constructor for class edu.ucla.sspace.graph.SparseUndirectedGraph: Creates an undirected graph with no edges and the provided set of vertices
SparseUndirectedGraph(Graph<? extends Edge>) - Constructor for class edu.ucla.sspace.graph.SparseUndirectedGraph: Creates an undirected graph with a copy of all the vertices and edges in g.
SparseVector<T extends Number> - Interface in edu.ucla.sspace.vector: An interface for Vector implementations whose values are sparse and that support access to only those indices with non-zero values.
SparseWeightedDirectedEdgeSet - Class in edu.ucla.sspace.graph: A set for containing WeightedEdge instances.
SparseWeightedDirectedEdgeSet() - Constructor for class edu.ucla.sspace.graph.SparseWeightedDirectedEdgeSet
SparseWeightedDirectedTypedEdgeSet<T> - Class in edu.ucla.sspace.graph: An EdgeSet implementation that stores DirectedEdge instances for a vertex.
SparseWeightedDirectedTypedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
SparseWeightedEdgeSet - Class in edu.ucla.sspace.graph: A set for containing WeightedEdge instances.
SparseWeightedEdgeSet(int) - Constructor for class edu.ucla.sspace.graph.SparseWeightedEdgeSet: Creates a new SparseWeightedEdgeSet where all edges in this set must connect to rootVertex.
SparseWeightedGraph - Class in edu.ucla.sspace.graph: An implementation of DirectedGraph that uses a sparse backing representation.
SparseWeightedGraph() - Constructor for class edu.ucla.sspace.graph.SparseWeightedGraph: Creates an empty directed graph
SparseWeightedGraph(Set<Integer>) - Constructor for class edu.ucla.sspace.graph.SparseWeightedGraph: Creates a directed graph with the provided vertices
SparseWeightedGraph(Graph<? extends WeightedEdge>) - Constructor for class edu.ucla.sspace.graph.SparseWeightedGraph: Creates a directed graph with a copy of all the vertices and edges in g.
SpearmanRankCorrelation - Class in edu.ucla.sspace.similarity: Returns the Spearman Rank Correlation between any two Vectors.
SpearmanRankCorrelation() - Constructor for class edu.ucla.sspace.similarity.SpearmanRankCorrelation
spearmanRankCorrelationCoefficient(double[], double[]) - Static method in class edu.ucla.sspace.common.Similarity: Computes the Spearman rank correlation coefficient for the two arrays.
spearmanRankCorrelationCoefficient(int[], int[]) - Static method in class edu.ucla.sspace.common.Similarity: Computes the Spearman rank correlation coefficient for the two arrays.
spearmanRankCorrelationCoefficient(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.common.Similarity: Computes the Spearman rank correlation coefficient for the two DoubleVectors.
spearmanRankCorrelationCoefficient(IntegerVector, IntegerVector) - Static method in class edu.ucla.sspace.common.Similarity: Computes the Spearman rank correlation coefficient for the two DoubleVectors.
spearmanRankCorrelationCoefficient(Vector, Vector) - Static method in class edu.ucla.sspace.common.Similarity: Computes the Spearman rank correlation coefficient for the two Vectors.
SpectralClustering - Class in edu.ucla.sspace.clustering: Implementation of Spectral Clustering using divide and merge methodology.
SpectralClustering(double, Generator<EigenCut>) - Constructor for class edu.ucla.sspace.clustering.SpectralClustering: Creates a new SpectralClustering instance.
SSPACE_NAME - Static variable in class edu.ucla.sspace.dri.DependencyRandomIndexing: The Semantic Space name for DependencyRandomIndexing
SSPACE_NAME - Static variable in class edu.ucla.sspace.svs.StructuredVectorSpace: The Semantic Space name for StructuredVectorSpace
STANDARD_DEVIATION_PROPERTY - Static variable in class edu.ucla.sspace.index.GaussianVectorGenerator: The property for setting the standard deviation.
startDocument() - Method in class edu.ucla.sspace.graph.io.GraphMLReader.GraphMLParser
startElement(String, String, String, Attributes) - Method in class edu.ucla.sspace.graph.io.GraphMLReader.GraphMLParser
startElement(String, String, String, Attributes) - Method in class edu.ucla.sspace.text.corpora.SemEvalCorpusReader.SemEvalHandler: Extracts the instance id for the current context.
startElement(String, String, String, Attributes) - Method in class edu.ucla.sspace.text.corpora.SemEvalLexSubReader.SemEvalHandler: Extracts the instance id for the current context.
startTime() - Method in class edu.ucla.sspace.temporal.FileBasedTemporalSemanticSpace: Returns the time for the earliest semantics contained within this space.
startTime() - Method in interface edu.ucla.sspace.temporal.TemporalSemanticSpace: Returns the time for the earliest semantics contained within this space.
startTime - Variable in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: The least recent time stamp seen during the current semantic slice
startTime() - Method in class edu.ucla.sspace.tri.OrderedTemporalRandomIndexing: Returns the time for the earliest semantics contained within this space.
State - Interface in edu.ucla.sspace.graph.isomorphism: An interface for representing the partial or complete state of an a attempted isomorphic mapping between two graphs.
StaticSemanticSpace - Class in edu.ucla.sspace.common: An unmodifiable SemanticSpace whose data is loaded into memory from an .sspace file.
StaticSemanticSpace(String) - Constructor for class edu.ucla.sspace.common.StaticSemanticSpace: Creates the StaticSemanticSpace from the file.
StaticSemanticSpace(File) - Constructor for class edu.ucla.sspace.common.StaticSemanticSpace: Creates the StaticSemanticSpace from the provided file.
StaticSemanticSpace(File, SemanticSpaceIO.SSpaceFormat) - Constructor for class edu.ucla.sspace.common.StaticSemanticSpace: Deprecated.
statistic - Variable in class edu.ucla.sspace.graph.Fanmod.Result: The statistic value generated by the Fanmod.MotifFilter for deciding if the associated subgraph is a motif.
Statistics - Class in edu.ucla.sspace.common: A collection of static methods for statistical analysis and basic numeric computation.
Statistics - Class in edu.ucla.sspace.matrix: This class provides some simple statistical evaluation methods over a matrix.
Statistics() - Constructor for class edu.ucla.sspace.matrix.Statistics
Statistics.Dimension - Enum in edu.ucla.sspace.matrix: The dimension over which the statistic should be evaluated.
std(Matrix, Matrix, Statistics.Dimension) - Static method in class edu.ucla.sspace.matrix.Statistics: Return a matrix containing the standard deviation for the dimension specificed.
std(Matrix, Matrix, Statistics.Dimension, int) - Static method in class edu.ucla.sspace.matrix.Statistics: Return a matrix containing the standard deviation for the dimension specificed.
stddev(Collection<? extends Number>) - Static method in class edu.ucla.sspace.common.Statistics: Returns the standard deviation of the collection of numbers
stddev(int[]) - Static method in class edu.ucla.sspace.common.Statistics: Returns the standard deviation of the values in the int array
stddev(double[]) - Static method in class edu.ucla.sspace.common.Statistics: Returns the standard deviation of the values in the double array
stddevInNullModel - Variable in class edu.ucla.sspace.graph.Fanmod.Result: The standard deviation of motif's counts in the null model
stem(String) - Method in class edu.ucla.sspace.text.EnglishStemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem(String) - Method in class edu.ucla.sspace.text.GermanStemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem(String) - Method in class edu.ucla.sspace.text.ItalianStemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem(String) - Method in class edu.ucla.sspace.text.PorterStemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem(String) - Method in class edu.ucla.sspace.text.SnowballPorterStemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem(String) - Method in interface edu.ucla.sspace.text.Stemmer: Converts the token to its root form, or if it is already in root form, returns the token.
stem() - Method in class org.tartarus.snowball.ext.danishStemmer
stem() - Method in class org.tartarus.snowball.ext.dutchStemmer
stem() - Method in class org.tartarus.snowball.ext.englishStemmer
stem() - Method in class org.tartarus.snowball.ext.finnishStemmer
stem() - Method in class org.tartarus.snowball.ext.frenchStemmer
stem() - Method in class org.tartarus.snowball.ext.germanStemmer
stem() - Method in class org.tartarus.snowball.ext.hungarianStemmer
stem() - Method in class org.tartarus.snowball.ext.italianStemmer
stem() - Method in class org.tartarus.snowball.ext.norwegianStemmer
stem() - Method in class org.tartarus.snowball.ext.porterStemmer
stem() - Method in class org.tartarus.snowball.ext.portugueseStemmer
stem() - Method in class org.tartarus.snowball.ext.romanianStemmer
stem() - Method in class org.tartarus.snowball.ext.russianStemmer
stem() - Method in class org.tartarus.snowball.ext.spanishStemmer
stem() - Method in class org.tartarus.snowball.ext.swedishStemmer
stem() - Method in class org.tartarus.snowball.ext.turkishStemmer
stem() - Method in class org.tartarus.snowball.SnowballStemmer
Stemmer - Interface in edu.ucla.sspace.text: An interface for classes that stem tokens.
STEMMER_PROPERTY - Static variable in class edu.ucla.sspace.text.IteratorFactory: Specifies the Stemmer to use on tokens.
StemmingIterator - Class in edu.ucla.sspace.text: An iterator that stems all of the tokens that it returns.
StemmingIterator(String, Stemmer) - Constructor for class edu.ucla.sspace.text.StemmingIterator: Constructs an iterator to stem all the tokens in the string.
StemmingIterator(BufferedReader, Stemmer) - Constructor for class edu.ucla.sspace.text.StemmingIterator: Constructs an iterator to stem all the tokens in the reader.
StemmingIterator(Iterator<String>, Stemmer) - Constructor for class edu.ucla.sspace.text.StemmingIterator: Constructors an iterator that stems all of the provided tokens
StemTermList - Class in edu.ucla.sspace.tools: A simple utility for stemming a list of terms.
StemTermList() - Constructor for class edu.ucla.sspace.tools.StemTermList
StreamingKMeans<T extends DoubleVector> - Class in edu.ucla.sspace.clustering: An implementation of a simple, highly accurate streaming K Means algorithm.
StreamingKMeans() - Constructor for class edu.ucla.sspace.clustering.StreamingKMeans: Creates a new generator using the system properties.
StreamingKMeans(Properties) - Constructor for class edu.ucla.sspace.clustering.StreamingKMeans: Creates a new generator using the given properties.
StreamingKMeans.StreamingKMeansClustering<T extends DoubleVector> - Class in edu.ucla.sspace.clustering: The internal OnlineClustering implementation.
StreamingKMeans.StreamingKMeansClustering(double, double, double, int, double) - Constructor for class edu.ucla.sspace.clustering.StreamingKMeans.StreamingKMeansClustering: Creates a new instance of online KMeans clustering.
StreamingWordsi - Class in edu.ucla.sspace.wordsi: A Wordsi implementation that utilizes streaming, or online, clustering algorithms.
StreamingWordsi(Set<String>, ContextExtractor, Generator<OnlineClustering<SparseDoubleVector>>, AssignmentReporter, int) - Constructor for class edu.ucla.sspace.wordsi.StreamingWordsi: Creates a new StreamingWordsi.
Streemer - Class in edu.ucla.sspace.clustering: An implementation of the Streemer (Streaming EM) algorithm for foreground/background clustering.
Streemer() - Constructor for class edu.ucla.sspace.clustering.Streemer
strength(int) - Method in class edu.ucla.sspace.graph.SparseWeightedGraph: Returns the sum of the weights for all edges connected to this vertex.
strength(int) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns the sum of the weights for all edges connected to this vertex.
strength(int) - Method in interface edu.ucla.sspace.graph.WeightedGraph: Returns the sum of the weights for all edges connected to this vertex.
StringBasisMapping - Class in edu.ucla.sspace.basis: A string based BasisMapping.
StringBasisMapping() - Constructor for class edu.ucla.sspace.basis.StringBasisMapping
StringBasisMapping(Set<String>) - Constructor for class edu.ucla.sspace.basis.StringBasisMapping
StringDocument - Class in edu.ucla.sspace.text: A Document implementation backed by a String whose contents are used for the document text.
StringDocument(String) - Constructor for class edu.ucla.sspace.text.StringDocument: Constructs a Document using the provided string as the document text
StringUtils - Class in edu.ucla.sspace.text: A collection of static methods for processing text.
StructuredVectorSpace - Class in edu.ucla.sspace.svs: A dependency parsed based approach to statistical semantics that uses a collection of vectors to represent a word.
StructuredVectorSpace(DependencyExtractor, DependencyPathAcceptor, VectorCombinor) - Constructor for class edu.ucla.sspace.svs.StructuredVectorSpace: Create a new instance of StructuredVectorSpace.
StructuredVectorSpace(DependencyExtractor, DependencyPathAcceptor, VectorCombinor, StringBasisMapping, Set<String>) - Constructor for class edu.ucla.sspace.svs.StructuredVectorSpace: Create a new instance of StructuredVectorSpace.
StructuredVectorSpaceMain - Class in edu.ucla.sspace.mains: NOTE: NOT MEANT TO BE PART OF WORDSI-UPDATE.
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.AbstractGraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.AbstractGraph.Subgraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in interface edu.ucla.sspace.graph.DirectedGraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>, Set<T>) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns a subgraph of this graph containing only the specified vertices and edges of the specified types.
subgraph(IntSet) - Method in interface edu.ucla.sspace.graph.DynamicGraph: Returns a view of this graph containing only the specified vertices.
subgraph(IntSet, Calendar) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(IntSet, Date) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(IntSet, long) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(IntSet, Calendar, Calendar) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(IntSet, Date, Date) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(IntSet, long, long) - Method in interface edu.ucla.sspace.graph.DynamicGraph
subgraph(Set<Integer>) - Method in interface edu.ucla.sspace.graph.Graph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.GraphAdaptor: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in interface edu.ucla.sspace.graph.Multigraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>, Set<T>) - Method in interface edu.ucla.sspace.graph.Multigraph: Returns a subgraph of this graph containing only the specified vertices and edges of the specified types.
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.SparseDirectedGraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.SparseWeightedGraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>, Set<T>) - Method in class edu.ucla.sspace.graph.UndirectedMultigraph: Returns a subgraph of this graph containing only the specified vertices and edges of the specified types.
subgraph(Set<Integer>) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
subgraph(Set<Integer>, Set<T>) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns a subgraph of this graph containing only the specified vertices and edges of the specified types.
subgraph(Set<Integer>) - Method in interface edu.ucla.sspace.graph.WeightedGraph: Returns a view of this graph containing only the specified vertices where the returned graph's vertinces are renamed (0, ..., n).
SubgraphIterator<E extends Edge,G extends Graph<E>> - Class in edu.ucla.sspace.graph: An implementation of the EnumerateSubgraphs (ESU) method from Wernicke (2006), which enumerates all possible k-vertex subgraphs of a given graph.
SubgraphIterator(G, int) - Constructor for class edu.ucla.sspace.graph.SubgraphIterator: Constructs an iterator over all the subgraphs of g with the specified subgraph size.
SubjObjRelationAcceptor - Class in edu.ucla.sspace.dependency: A DependencyPathAcceptor that accepts links with the subj or obj relation.
SubjObjRelationAcceptor() - Constructor for class edu.ucla.sspace.dependency.SubjObjRelationAcceptor
subMap(K, K) - Method in interface edu.ucla.sspace.util.SortedMultiMap: Returns a view of the portion of this map whose keys range from fromKey, inclusive, to toKey, exclusive.
subMap(K, K) - Method in class edu.ucla.sspace.util.TreeMultiMap: Returns a view of the portion of this map whose keys range from fromKey, inclusive, to toKey, exclusive.
subSetup(Matrix) - Method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Setup any extra information needed before computing the cost values for each cluster.
subSetup(Matrix) - Method in class edu.ucla.sspace.clustering.criterion.E1Function: Setup any extra information needed before computing the cost values for each cluster.
subSetup(Matrix) - Method in class edu.ucla.sspace.clustering.criterion.G1Function: Setup any extra information needed before computing the cost values for each cluster.
substring_i - Variable in class org.tartarus.snowball.Among
subtract(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns a DoubleVector that is equal to c - v.
subtract(Vector, Vector) - Static method in class edu.ucla.sspace.vector.VectorMath: Subtracts the second Vector fromt the first Vector and returns the result.
subtract(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.vector.VectorMath: Subtracts the second DoubleVector from the first DoubleVector and returns the result.
subtract(IntegerVector, IntegerVector) - Static method in class edu.ucla.sspace.vector.VectorMath: Subtracts the second IntegerVector from the first IntegerVector and returns the result.
subtractedMagnitude(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns the magnitude of c as if v was added to the the vector.
subtractedMagnitudeSqrd(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.clustering.criterion.BaseFunction: Returns the magnitude squared of c as if v was added to the vector.
subview(DoubleVector, int, int) - Static method in class edu.ucla.sspace.vector.Vectors: Returns a subview for the given DoubleVector with a specified offset and length.
subview(SparseDoubleVector, int, int) - Static method in class edu.ucla.sspace.vector.Vectors: Returns a subview for the given SparseDoubleVector with a specified offset and length.
subview(IntegerVector, int, int) - Static method in class edu.ucla.sspace.vector.Vectors: Returns a subview for the given IntegerVector with a specified offset and length.
subview(SparseIntegerVector, int, int) - Static method in class edu.ucla.sspace.vector.Vectors: Returns a subview for the given IntegerVector with a specified offset and length.
successors(int) - Method in interface edu.ucla.sspace.graph.DirectedGraph: Returns the set of vertices that can be reached by following the outgoing edges from this vertex.
successors(int) - Method in class edu.ucla.sspace.graph.DirectedMultigraph: Returns the set of vertices that can be reached by following the outgoing edges from this vertex.
successors(int) - Method in class edu.ucla.sspace.graph.SparseDirectedGraph: Returns the set of vertices that can be reached by following the outgoing edges from this vertex.
successors() - Method in class edu.ucla.sspace.graph.SparseDirectedTypedEdgeSet
successors() - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet
successors(int) - Method in class edu.ucla.sspace.graph.WeightedDirectedMultigraph: Returns the set of vertices that can be reached by following the outgoing edges from this vertex.
sum(Collection<? extends Number>) - Static method in class edu.ucla.sspace.common.Statistics: Returns the sum of the collection of numbers
sum(int[]) - Static method in class edu.ucla.sspace.common.Statistics: Returns the sum of the values in the int array
sum(double[]) - Static method in class edu.ucla.sspace.common.Statistics: Returns the sum of the values in the double array
sum() - Method in class edu.ucla.sspace.graph.isomorphism.IsomorphicGraphCounter: Returns the total number of instances that have been counted.
sum() - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphCounter: Returns the total number of instances that have been counted.
sum() - Method in class edu.ucla.sspace.graph.SparseWeightedDirectedTypedEdgeSet: Returns the sum of the weights of the edges contained in this set.
sum() - Method in class edu.ucla.sspace.graph.SparseWeightedEdgeSet: Returns the sum of the weights of the edges contained in this set.
sum() - Method in interface edu.ucla.sspace.util.Counter: Returns the total number of instances that have been counted.
sum() - Method in class edu.ucla.sspace.util.IndexedCounter: Returns the total number of instances that have been counted.
sum() - Method in class edu.ucla.sspace.util.ObjectCounter: Returns the total number of instances that have been counted.
sum() - Method in class edu.ucla.sspace.util.PairCounter: Returns the total number of pairs that have been counted.
SVD - Class in edu.ucla.sspace.matrix: A utililty class for invoking different implementations of the Singular Value Decomposition (SVD).
svd(Matrix, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(Matrix, SVD.Algorithm, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(File, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(File, SVD.Algorithm, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(File, MatrixIO.Format, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(File, SVD.Algorithm, MatrixIO.Format, int) - Static method in class edu.ucla.sspace.matrix.SVD: Deprecated.
svd(Matrix, int) - Static method in class edu.ucla.sspace.matrix.SvdlibjDriver: Computes the SVD of the matrix.
svd(File, MatrixIO.Format, int) - Static method in class edu.ucla.sspace.matrix.SvdlibjDriver: Computes the SVD of the matrix in the provided file in the specified format.
SVD.Algorithm - Enum in edu.ucla.sspace.matrix: Which algorithm to use for computing the Singular Value Decomposition (SVD) of a matrix.
SVD_DESCRIPTION - Static variable in class edu.ucla.sspace.mains.OptionDescriptions: A description of the configuration SVD algorithm
svdLAS2(SMat, int, int, double[], double) - Method in class ch.akuhn.edu.mit.tedlab.Svdlib
svdLAS2A(SMat, int) - Method in class ch.akuhn.edu.mit.tedlab.Svdlib
Svdlib - Class in ch.akuhn.edu.mit.tedlab
Svdlib() - Constructor for class ch.akuhn.edu.mit.tedlab.Svdlib
SvdlibcSparseBinaryMatrixBuilder - Class in edu.ucla.sspace.matrix: A MatrixBuilder implementation for creating matrix files in the SVDLIBC sparse binary matrix format.
SvdlibcSparseBinaryMatrixBuilder() - Constructor for class edu.ucla.sspace.matrix.SvdlibcSparseBinaryMatrixBuilder: Creates a builder for a matrix in the SVDLIBC_SPARSE_BINARY format to be stored in a temporary file.
SvdlibcSparseBinaryMatrixBuilder(boolean) - Constructor for class edu.ucla.sspace.matrix.SvdlibcSparseBinaryMatrixBuilder: Creates a builder for a matrix in the SVDLIBC_SPARSE_BINARY format to be stored in a temporary file.
SvdlibcSparseBinaryMatrixBuilder(File) - Constructor for class edu.ucla.sspace.matrix.SvdlibcSparseBinaryMatrixBuilder: Creates a builder for a matrix in the SVDLIBC_SPARSE_BINARY format, which will be stored in the specified file.
SvdlibcSparseBinaryMatrixBuilder(File, boolean) - Constructor for class edu.ucla.sspace.matrix.SvdlibcSparseBinaryMatrixBuilder: Creates a builder for a matrix in the SVDLIBC_SPARSE_BINARY format, which will be stored in the specified file.
SvdlibjDriver - Class in edu.ucla.sspace.matrix: A wrapper around SVDLIBJ that allows Matrix objects and arbitrarily formatted matrix files to use the SVDLIBJ library.
SVDRec - Class in ch.akuhn.edu.mit.tedlab
SVDRec() - Constructor for class ch.akuhn.edu.mit.tedlab.SVDRec
SvdTool - Class in edu.ucla.sspace.tools
SvdTool() - Constructor for class edu.ucla.sspace.tools.SvdTool
swedishStemmer - Class in org.tartarus.snowball.ext: This class was automatically generated by a Snowball to Java compiler It implements the stemming algorithm defined by a snowball script.
swedishStemmer() - Constructor for class org.tartarus.snowball.ext.swedishStemmer
SymmetricMatrix - Class in edu.ucla.sspace.matrix: A symmetric dense matrix that only stores the values of the lower triangular.
SymmetricMatrix(int, int) - Constructor for class edu.ucla.sspace.matrix.SymmetricMatrix: Constructs a new SymmetricMatrix with the specified dimensions.
SynchronizedCluster<T extends DoubleVector> - Class in edu.ucla.sspace.clustering: A synchronized decorator for Clusters.
SynchronizedCluster(Cluster<T>) - Constructor for class edu.ucla.sspace.clustering.SynchronizedCluster: Creates a synchronized accessor to cluster.
synchronizedGraph(Graph<T>) - Static method in class edu.ucla.sspace.graph.Graphs: To-do
SynchronizedIterator<T> - Class in edu.ucla.sspace.util: An Iterator decorator that provides synchronized access to each element.
SynchronizedIterator(Iterator<T>) - Constructor for class edu.ucla.sspace.util.SynchronizedIterator: Constructs a SynchronizedIterator from the provided iterator.
synchronizedMatrix(Matrix) - Static method in class edu.ucla.sspace.matrix.Matrices: Returns a synchronized (thread-safe) matrix backed by the provided Matrix.
SynchronizedMatrix - Class in edu.ucla.sspace.matrix: A Matrix decorator class that provides thread safe access to a backing Matrix instance.
SynchronizedMatrix(Matrix) - Constructor for class edu.ucla.sspace.matrix.SynchronizedMatrix: Creates a SynchronizedMatrix that provides thread-safe access to the provided Matrix instance.
synchronizedSparseMatrix(SparseMatrix) - Static method in class edu.ucla.sspace.matrix.Matrices: Returns a synchronized (thread-safe) matrix backed by the provided SparseMatrix.
SynchronizedSparseMatrix - Class in edu.ucla.sspace.matrix: A SparseMatrix decorator class that provides thread safe access to a backing SparseMatrix instance.
SynchronizedSparseMatrix(SparseMatrix) - Constructor for class edu.ucla.sspace.matrix.SynchronizedSparseMatrix: Creates a SynchronizedSparseMatrix that provides thread-safe access to the provided SparseMatrix instance.
synchronizedVector(DoubleVector) - Static method in class edu.ucla.sspace.vector.Vectors: Returns a syncrhonized view of a given DoubleVector.

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