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L

label() - Method in interface edu.ucla.sspace.text.AnnotatedDocument
Returns a label associated with this particular document.
label() - Method in interface edu.ucla.sspace.text.LabeledDocument
Returns a label associated with this particular document.
label() - Method in class edu.ucla.sspace.text.LabeledStringDocument
Returns a label associated with this particular document.
LabeledDocument - Interface in edu.ucla.sspace.text
An abstraction for a document that has an accompanying label or name.
LabeledEdge - Class in edu.ucla.sspace.graph
 
LabeledEdge(int, int, String, String) - Constructor for class edu.ucla.sspace.graph.LabeledEdge
 
LabeledGraph<L,E extends Edge> - Class in edu.ucla.sspace.graph
A decorator around all graph types that allows vertices to take on arbitrary labels.
LabeledGraph(Graph<E>) - Constructor for class edu.ucla.sspace.graph.LabeledGraph
 
LabeledGraph(Graph<E>, Indexer<L>) - Constructor for class edu.ucla.sspace.graph.LabeledGraph
 
LabeledParsedDocument - Interface in edu.ucla.sspace.text
A union interface for a document that has been (or will be) dependency parsed to generate an accompanying parse tree of its contents and that has an accompanying label about its source or contents.
LabeledParsedStringDocument - Class in edu.ucla.sspace.text
An abstraction for a document that has been (or will be) dependency parsed to generate an accompanying parse tree of its contents.
LabeledParsedStringDocument(String, DependencyExtractor, String) - Constructor for class edu.ucla.sspace.text.LabeledParsedStringDocument
 
LabeledStringDocument - Class in edu.ucla.sspace.text
A LabeledDocument implementation backed by a String whose contents are used for the document text.
LabeledStringDocument(String, String) - Constructor for class edu.ucla.sspace.text.LabeledStringDocument
Constructs a Document using the provided string as the document text
last() - Method in interface edu.ucla.sspace.dependency.DependencyPath
Returns the last node in the path, which is furthest from the root.
last() - Method in class edu.ucla.sspace.dependency.SimpleDependencyPath
Returns the last node in the path, which is furthest from the root.
lastKey() - Method in interface edu.ucla.sspace.util.SortedMultiMap
Returns the last (highest) key currently in this map.
lastKey() - Method in class edu.ucla.sspace.util.TreeMultiMap
Returns the last (highest) key currently in this map.
lastRelation() - Method in interface edu.ucla.sspace.dependency.DependencyPath
Returns the relation that connects the last and second to last nodes in the path, which are furthest from the root.
lastRelation() - Method in class edu.ucla.sspace.dependency.SimpleDependencyPath
Returns the relation that connects the last and second to last nodes in the path, which are furthest from the root.
LatentSemanticAnalysis - Class in edu.ucla.sspace.lsa
An implementation of Latent Semantic Analysis (LSA).
LatentSemanticAnalysis() - Constructor for class edu.ucla.sspace.lsa.LatentSemanticAnalysis
Creates a new LatentSemanticAnalysis instance.
LatentSemanticAnalysis(boolean, int, Transform, MatrixFactorization, boolean, BasisMapping<String, String>) - Constructor for class edu.ucla.sspace.lsa.LatentSemanticAnalysis
Constructs a new LatentSemanticAnalysis using the provided objects for processing.
leftReordering - Variable in class edu.ucla.sspace.clustering.BaseSpectralCut
The final ordering of data points in the first created region.
leftSplit - Variable in class edu.ucla.sspace.clustering.BaseSpectralCut
The data points in the left region.
lemma() - Method in interface edu.ucla.sspace.dependency.DependencyTreeNode
The lemmatized version of the word, if there is any.
lemma() - Method in class edu.ucla.sspace.dependency.SimpleDependencyTreeNode
The lemmatized version of the word, if there is any.
lemmaVector - Variable in class edu.ucla.sspace.svs.SelectionalPreference
 
length() - Method in interface edu.ucla.sspace.clustering.Assignment
Returns the number of assignments given for this data point.
length() - Method in class edu.ucla.sspace.clustering.HardAssignment
Returns the number of assignments given for this data point.
length() - Method in class edu.ucla.sspace.clustering.SoftAssignment
Returns the number of assignments given for this data point.
length() - Method in interface edu.ucla.sspace.dependency.DependencyPath
Returns the number of nodes in the dependency path.
length() - Method in class edu.ucla.sspace.dependency.SimpleDependencyPath
Returns the number of nodes in the dependency path.
length() - Method in class edu.ucla.sspace.util.IntegerMap
 
length() - Method in interface edu.ucla.sspace.util.SparseArray
Returns length of this array.
length() - Method in class edu.ucla.sspace.util.SparseDoubleArray
Returns the maximum length of this array.
length() - Method in class edu.ucla.sspace.util.SparseHashArray
Returns the maximum length of this array.
length() - Method in class edu.ucla.sspace.util.SparseIntArray
Returns the maximum length of this array.
length() - Method in class edu.ucla.sspace.util.SparseIntHashArray
Returns the maximum length of this array.
length() - Method in class edu.ucla.sspace.util.SparseLongArray
Returns the maximum length of this array.
length() - Method in class edu.ucla.sspace.vector.AmortizedSparseVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.AtomicSparseVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.AtomicVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.CompactSparseIntegerVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.CompactSparseVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.DenseDynamicMagnitudeVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.DenseIntVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.DenseVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.MaskedDoubleVectorView
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.ScaledDoubleVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.SparseHashDoubleVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.SparseHashIntegerVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.SparseHashVector
Return the size of the Vector.
length() - Method in class edu.ucla.sspace.vector.TernaryVector
Return the size of the Vector.
length() - Method in interface edu.ucla.sspace.vector.Vector
Return the size of the Vector.
LengthPathWeight - Class in edu.ucla.sspace.dependency
A DependencyPathWeight that scores paths inversely proportional to their length.
LengthPathWeight() - Constructor for class edu.ucla.sspace.dependency.LengthPathWeight
 
LexSubWordsiMain - Class in edu.ucla.sspace.mains
 
LexSubWordsiMain() - Constructor for class edu.ucla.sspace.mains.LexSubWordsiMain
 
LexSubWordsiMain.LexSubWordsi - Class in edu.ucla.sspace.mains
 
LexSubWordsiMain.LexSubWordsi(String, String) - Constructor for class edu.ucla.sspace.mains.LexSubWordsiMain.LexSubWordsi
 
limit - Variable in class org.tartarus.snowball.SnowballProgram
 
limit_backward - Variable in class org.tartarus.snowball.SnowballProgram
 
LimitedIterator<T> - Class in edu.ucla.sspace.util
An iterator decorator that returns a limited number of string tokens.
LimitedIterator(Iterator<T>, int) - Constructor for class edu.ucla.sspace.util.LimitedIterator
Constructs an iterator for the first maxItems tokens contained in given iterator.
LimitedOneLinePerDocumentIterator - Class in edu.ucla.sspace.text
An iterator decorator that returns Document instances given a file that contains list of files.
LimitedOneLinePerDocumentIterator(Iterator<Document>, int, boolean) - Constructor for class edu.ucla.sspace.text.LimitedOneLinePerDocumentIterator
Constructs an Iterator for the documents contained in the provided file.
LinearWeighting - Class in edu.ucla.sspace.hal
A linear weighting scheme for specifying how a HyperspaceAnalogueToLanguage instance should weigh co-occurrences based on the word distance.
LinearWeighting() - Constructor for class edu.ucla.sspace.hal.LinearWeighting
 
LineReader - Class in edu.ucla.sspace.util
A utility class for reading the lines of a file.
LineReader(File) - Constructor for class edu.ucla.sspace.util.LineReader
Creates a line reader for the provided file.
LinkClustering - Class in edu.ucla.sspace.clustering
An implmentation of the link clustering described in Ahn, Bagrow, and Lehman (2010).
LinkClustering() - Constructor for class edu.ucla.sspace.clustering.LinkClustering
Instantiates a new LinkClustering instance.
LinkClustering - Class in edu.ucla.sspace.graph
An implmentation of the link clustering described in Ahn, Bagrow, and Lehman (2010).
LinkClustering() - Constructor for class edu.ucla.sspace.graph.LinkClustering
Instantiates a new LinkClustering instance.
LinkClustering.Edge - Class in edu.ucla.sspace.clustering
A utility data structure for representing a directed edge between two ordinally labeled nodes.
LinkClustering.Edge(int, int) - Constructor for class edu.ucla.sspace.clustering.LinkClustering.Edge
 
LinkClusteringTool - Class in edu.ucla.sspace.tools
A utility class for running LinkClustering from the command line.
LinkClusteringTool() - Constructor for class edu.ucla.sspace.tools.LinkClusteringTool
 
linSimilarity(DoubleVector, DoubleVector) - Static method in class edu.ucla.sspace.common.Similarity
Computes the lin similarity measure, which is motivated by information theory priniciples.
linSimilarity(IntegerVector, IntegerVector) - Static method in class edu.ucla.sspace.common.Similarity
Computes the lin similarity measure, which is motivated by information theory priniciples.
linSimilarity(Vector, Vector) - Static method in class edu.ucla.sspace.common.Similarity
Computes the lin similarity measure, which is motivated by information theory priniciples.
linSimilarity(double[], double[]) - Static method in class edu.ucla.sspace.common.Similarity
Computes the lin similarity measure, which is motivated by information theory priniciples.
linSimilarity(int[], int[]) - Static method in class edu.ucla.sspace.common.Similarity
Computes the lin similarity measure, which is motivated by information theory priniciples.
LinSimilarity - Class in edu.ucla.sspace.similarity
Returns the Lin Similarity between any two Vectors.
LinSimilarity() - Constructor for class edu.ucla.sspace.similarity.LinSimilarity
 
load(String) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO
Loads and returns the SemanticSpace from the file with the specified name.
load(String, SemanticSpaceIO.SSpaceFormat) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO
Deprecated.
load(File) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO
Loads and returns the SemanticSpace stored in the specified file.
load(File, SemanticSpaceIO.SSpaceFormat) - Static method in class edu.ucla.sspace.common.SemanticSpaceIO
Deprecated.
load() - Method in class edu.ucla.sspace.matrix.MatrixFile
Loads the matrix from disk and returns a copy of its data.
load(File) - Static method in class edu.ucla.sspace.ri.IndexVectorUtil
Loads a mapping from word to TernaryVector from the file
load(File, Class<T>) - Static method in class edu.ucla.sspace.util.SerializableUtil
Loads a serialized object of the specifed type from the file.
load(String) - Static method in class edu.ucla.sspace.util.SerializableUtil
Loads a serialized object of the specifed type from the file.
load(File) - Static method in class edu.ucla.sspace.util.SerializableUtil
Loads a serialized object of the specifed type from the file.
load(InputStream) - Static method in class edu.ucla.sspace.util.SerializableUtil
Loads a serialized object of the specifed type from the stream.
loadFileAsList(File) - Static method in class edu.ucla.sspace.text.StringUtils
Loads each line of the file as a list of strings.
loadFileAsSet(File) - Static method in class edu.ucla.sspace.text.StringUtils
Loads the contents of a file as a set of strings, with each line being treated as a separate instance.
loadFromSpecification(String) - Static method in class edu.ucla.sspace.text.TokenFilter
Loads a series of chained TokenFilter instances from the specified configuration string.
loadFromSpecification(String, ResourceFinder) - Static method in class edu.ucla.sspace.text.TokenFilter
Loads a series of chained TokenFilter instances from the specified configuration string using the provided ResourceFinder to locate the resources.
loadObject(ObjectInputStream) - Method in class edu.ucla.sspace.mains.GenericWordsiMain
Returns an object of type T from the provided ObjectInputStream.
loadScores(String) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
 
loadTemporalSemanticSpace(String) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
Loads and returns the TemporalSemanticSpace stored at the file name in text format.
loadTemporalSemanticSpace(File) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
Loads and returns the TemporalSemanticSpace stored at the file in text format.
loadTemporalSemanticSpace(File, TemporalSemanticSpaceUtils.TSSpaceFormat) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
Loads and returns the TemporalSemanticSpace stored at the file in the specified format.
loadValidTermSet(String) - Static method in class edu.ucla.sspace.mains.GenericMain
Returns a set of terms based on the contents of the provided file.
LocalityPreservingCooccurrenceSpace - Class in edu.ucla.sspace.nonlinear
 
LocalityPreservingCooccurrenceSpace(AffinityMatrixCreator) - Constructor for class edu.ucla.sspace.nonlinear.LocalityPreservingCooccurrenceSpace
Constructs a new instance using the system properties for configuration.
LocalityPreservingCooccurrenceSpace(AffinityMatrixCreator, Properties) - Constructor for class edu.ucla.sspace.nonlinear.LocalityPreservingCooccurrenceSpace
Constructs a new instance using the provided properties for configuration.
LocalityPreservingProjection - Class in edu.ucla.sspace.matrix
A Java wrapper around the Matlab implementation of the Spectral Regression form of Locality Preserving Projection (LPP), which is a linear-time subspace projection.
LocalityPreservingSemanticAnalysis - Class in edu.ucla.sspace.nonlinear
An implementation of Locality Preserving Semantic Analysis (LPSA).
LocalityPreservingSemanticAnalysis(AffinityMatrixCreator) - Constructor for class edu.ucla.sspace.nonlinear.LocalityPreservingSemanticAnalysis
Constructs the LocalityPreservingSemanticAnalysis using the system properties for configuration.
LOG - Static variable in class edu.ucla.sspace.common.GenericTermDocumentVectorSpace
 
log2(double) - Static method in class edu.ucla.sspace.common.Statistics
Returns the base-2 logarithm of d.
log2(int) - Static method in class jnt.FFT.Factorize
Return the integer log, base 2, of n, or -1 if n is not an integral power of 2.
log2_1p(double) - Static method in class edu.ucla.sspace.common.Statistics
Returns the base-2 logarithm of d + 1.
LogEntropyTransform - Class in edu.ucla.sspace.matrix
Transforms a matrix using log-entropy weighting.
LogEntropyTransform() - Constructor for class edu.ucla.sspace.matrix.LogEntropyTransform
 
LogEntropyTransform.LogEntropyGlobalTransform - Class in edu.ucla.sspace.matrix
The real implementation of the Log Entropy transformation as a GlobalTransform
LogEntropyTransform.LogEntropyGlobalTransform(Matrix) - Constructor for class edu.ucla.sspace.matrix.LogEntropyTransform.LogEntropyGlobalTransform
Creates an instance of LogEntropyGlobalTransform from a Matrix.
LogEntropyTransform.LogEntropyGlobalTransform(File, MatrixIO.Format) - Constructor for class edu.ucla.sspace.matrix.LogEntropyTransform.LogEntropyGlobalTransform
Creates an instance of LogEntropyGlobalTransform from a File of format Format.
LoggerUtil - Class in edu.ucla.sspace.util
A utility class for setting the logging level output of the S-Space package.
LogLikelihoodTest - Class in edu.ucla.sspace.common.statistics
 
LogLikelihoodTest() - Constructor for class edu.ucla.sspace.common.statistics.LogLikelihoodTest
 
LogLikelihoodTransform - Class in edu.ucla.sspace.matrix
Transforms a matrix using the log-likelihood weight.
LogLikelihoodTransform() - Constructor for class edu.ucla.sspace.matrix.LogLikelihoodTransform
 
LogLikelihoodTransform.LogLikelihoodGlobalTransform - Class in edu.ucla.sspace.matrix
 
LogLikelihoodTransform.LogLikelihoodGlobalTransform(Matrix) - Constructor for class edu.ucla.sspace.matrix.LogLikelihoodTransform.LogLikelihoodGlobalTransform
Creates an instance of LogLikelihoodTransform from a given Matrix.
LogLikelihoodTransform.LogLikelihoodGlobalTransform(File, MatrixIO.Format) - Constructor for class edu.ucla.sspace.matrix.LogLikelihoodTransform.LogLikelihoodGlobalTransform
Creates an instance of LogLikelihoodTransform from a matrix File of format format.
lookup(int) - Method in class edu.ucla.sspace.graph.isomorphism.TypedIsomorphicGraphIndexer
Returns the element to which this index is mapped or null if the index has not been mapped
lookup(int) - Method in class edu.ucla.sspace.util.HashIndexer
Returns the element to which this index is mapped or null if the index has not been mapped
lookup(int) - Method in interface edu.ucla.sspace.util.Indexer
Returns the element to which this index is mapped or null if the index has not been mapped
lookup(int) - Method in class edu.ucla.sspace.util.ObjectIndexer
Returns the element to which this index is mapped or null if the index has not been mapped
LPCS_DIMENSIONS_PROPERTY - Static variable in class edu.ucla.sspace.nonlinear.LocalityPreservingCooccurrenceSpace
The property to set the number of dimension to which the space should be reduced using the SVD
LpcsMain - Class in edu.ucla.sspace.mains
An executable class for running LocalityPreservingCooccurrenceSpace (LPWS) from the command line.
LPSA_DIMENSIONS_PROPERTY - Static variable in class edu.ucla.sspace.nonlinear.LocalityPreservingSemanticAnalysis
The property to set the number of dimension to which the space should be reduced using the SVD
LpsaMain - Class in edu.ucla.sspace.mains
An executable class for running LocalityPreservingSemanticAnalysis (LPSA) from the command line.
LSA_DIMENSIONS_PROPERTY - Static variable in class edu.ucla.sspace.lsa.LatentSemanticAnalysis
The property to set the number of dimension to which the space should be reduced using the SVD
LSA_SVD_ALGORITHM_PROPERTY - Static variable in class edu.ucla.sspace.lsa.LatentSemanticAnalysis
The property to set the specific SVD algorithm used by an instance during processSpace.
LSAMain - Class in edu.ucla.sspace.mains
An executable class for running LatentSemanticAnalysis (LSA) from the command line.
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