- 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
-
- 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
-
- 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
-
- 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
Vector
s.
- 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
-
- 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
-
- loadScores(String) - Static method in class edu.ucla.sspace.tools.PsudoWordSelector
-
- loadTemporalSemanticSpace(String) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
-
- loadTemporalSemanticSpace(File) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
-
- loadTemporalSemanticSpace(File, TemporalSemanticSpaceUtils.TSSpaceFormat) - Static method in class edu.ucla.sspace.temporal.TemporalSemanticSpaceUtils
-
- 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
-
- 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
-
- 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
-