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T

t2imap - Variable in class es.uam.eps.ir.relison.index.fast.FastIndex: Integer value for every object.
t2imap - Variable in class es.uam.eps.ir.relison.index.GenericIndex: Integer value for every object.
TAGFILE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.InformationFeatureSelectionFilterConfigurator: Identifier for the file containing the tags to maintain.
tagName - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.InformationFeatureSelectionFilter: Name of the information parameter to check.
TAGNAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.ContainsInformationFeatureFilterConfigurator: Identifier for the name of the tag field to consider.
TAGNAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.InformationFeatureSelectionFilterConfigurator: Identifier for the name of the tag parameter.
TAGNAME - Static variable in class es.uam.eps.ir.relison.grid.diffusion.filter.MinimumFrequencyInformationFeatureFilterConfigurator: Identifier for the name of the tag field to consider.
tags - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter: The definitive of tags to filter.
tearDown() - Method in class es.uam.eps.ir.relison.community.DendogramTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.tree.UnweightedTreeTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.CommunityMetrics
tearDown() - Method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.CorenessTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.DistanceMetricsTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.GraphMetricsTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.PairMetricsTest
tearDown() - Method in class es.uam.eps.ir.relison.metrics.VertexMetricsTest
tearDown() - Method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest
tearDown() - Method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest
tearDown() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest
tearDown() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest
tearDown() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.community.DendogramTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.tree.UnweightedTreeTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.CommunityMetrics
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.complementarymetrics.VertexMetricsTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.CorenessTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.DistanceMetricsTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.GraphMetricsTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.PairMetricsTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.metrics.VertexMetricsTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest
tearDownClass() - Static method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest
tearDownClass() - Static method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest
temp - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Infomap: Temporary path where we want to store the auxiliar networks.
tempFolder - Variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionSelector: A temporary directory for storing intermediate files.
tempFolder - Variable in class es.uam.eps.ir.relison.grid.community.modularity.InfomapConfigurator: A temporary folder for intermediate files.
TEMPORAL - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Identifier for the temporal protocol.
TemporalConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.protocol: Configures a temporal protocol, which replicates an old diffusion process.
TemporalConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.protocol.TemporalConfigurator
TemporalProtocol - Class in es.uam.eps.ir.relison.diffusion.protocols: Simulation protocol that considers the timestamps.
TemporalProtocol(boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.protocols.TemporalProtocol: Constructor.
term - Variable in class es.uam.eps.ir.relison.content.index.freq.impl.ImplTermFreq: The term
TermData<U,I> - Class in es.uam.eps.ir.relison.content: Posting information for a term in a content.
TermData(U, I, long, double) - Constructor for class es.uam.eps.ir.relison.content.TermData: Constructor
TermFreq - Interface in es.uam.eps.ir.relison.content.index.freq: Element for storing a term and its frequency.
terms - Variable in class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneFreqVectorIterator: The frequency vector.
terms - Variable in class es.uam.eps.ir.relison.content.index.freq.lucene.LuceneTermFreq: The term.
TerrierIndex - Class in es.uam.eps.ir.relison.links.data: Class for generating Terrier indexes and queries from graphs.
TerrierIndex(FastGraph<?>, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.data.TerrierIndex: Constructor.
TerrierIndex(FastGraph<?>, EdgeOrientation, EdgeOrientation, MemoryIndex, Map<Integer, String>) - Constructor for class es.uam.eps.ir.relison.links.data.TerrierIndex: Constructor.
TerrierIRSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir: Class that uses the Terrier IR engine to generate similarities between elements.
TerrierIRSimilarity(FastGraph<?>, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.TerrierIRSimilarity: Constructor.
TerrierIRSimilarity(FastGraph<?>, EdgeOrientation, EdgeOrientation, TerrierStructure) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.TerrierIRSimilarity: Constructor.
TerrierRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir: IR-based recommender models created using the Terrier library.
TerrierRecommender(FastGraph, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.TerrierRecommender: Constructor.
TerrierRecommender(FastGraph, EdgeOrientation, EdgeOrientation, TerrierStructure) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.TerrierRecommender: Constructor.
TerrierStructure - Class in es.uam.eps.ir.relison.links.data: Structure for storing the different possible indexes and queries for a Terrier index.
TerrierStructure(FastGraph<?>) - Constructor for class es.uam.eps.ir.relison.links.data.TerrierStructure: Constructor.
test - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.RelevantEdgesFilterConfigurator: The test graph, for checking whether the links are relevant or not.
test() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest
test() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest
test() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest
test() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest
TEST - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.LambdaMARTGridSearch: Identifier for the route containing the test instances.
TEST - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.WekaMLGridSearch: Identifier for the route containing the test instances.
testGraph - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter: The definitive of tags to filter.
testGraph - Variable in class es.uam.eps.ir.relison.grid.diffusion.filter.FilterSelector: The test graph.
testGraph - Variable in class es.uam.eps.ir.relison.links.data.letor.sampling.DistanceTwoLinkPredictionIndividualSampler: The graph to check the positive / negative examples
testGraph - Variable in class es.uam.eps.ir.relison.links.data.letor.sampling.LinkPredictionSampler: The graph to check the positive / negative examples
testGraph - Variable in class es.uam.eps.ir.relison.links.recommendation.metrics.accuracy.ContactRecommendationRelevanceModel: The test graph containing the relevant links.
TESTGRAPH - Static variable in class es.uam.eps.ir.relison.examples.diffusion.Diffusion
TESTGRAPH - Static variable in class es.uam.eps.ir.relison.examples.diffusion.DiffusionEvaluation
testInstances - Variable in class es.uam.eps.ir.relison.links.linkprediction.SupervisedLinkPredictor: Test instances.
testSet - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader: Test set
testSet - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningRecommender: Test instances: contains the instances for the links we want to recommend.
testSet - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.supervised.MachineLearningWekaRecommender: Test instances: contains the instances for the links we want to recommend.
TextCommunitiesReader - Class in es.uam.eps.ir.relison.sna.community.io: Reads a file containing the community structure.
TextCommunitiesReader(String, Parser) - Constructor for class es.uam.eps.ir.relison.sna.community.io.TextCommunitiesReader: Constructor.
TextCommunitiesWriter - Class in es.uam.eps.ir.relison.sna.community.io: Writes a community file.
TextCommunitiesWriter(String) - Constructor for class es.uam.eps.ir.relison.sna.community.io.TextCommunitiesWriter: Constructor.
TextGraphReader<V> - Class in es.uam.eps.ir.relison.io.graph: Reads a graph from a file.
TextGraphReader(boolean, boolean, boolean, boolean, String, Parser<V>) - Constructor for class es.uam.eps.ir.relison.io.graph.TextGraphReader: Constructor.
TextGraphReader(boolean, boolean, boolean, String, Parser<V>) - Constructor for class es.uam.eps.ir.relison.io.graph.TextGraphReader: Constructor.
TextGraphWriter<V> - Class in es.uam.eps.ir.relison.io.graph: Writes a graph to a file.
TextGraphWriter(String) - Constructor for class es.uam.eps.ir.relison.io.graph.TextGraphWriter: Constructor.
TextMultiGraphReader<V> - Class in es.uam.eps.ir.relison.io.graph: Class that reads a multi-graph from a file.
TextMultiGraphReader(boolean, boolean, boolean, String, Parser<V>) - Constructor for class es.uam.eps.ir.relison.io.graph.TextMultiGraphReader: Constructor.
TextParser - Interface in es.uam.eps.ir.relison.content.parsing: Interface for text parsers.
tfidf() - Method in class es.uam.eps.relison.links.recommendation.test.RecommenderTest: TF-IDF algorithm
tfidf(double, double, double) - Static method in class es.uam.eps.ir.relison.content.search.VSMSearchEngine: Computes the tf-idf of the value.
threshold - Variable in class es.uam.eps.ir.relison.diffusion.selections.CountThresholdSelectionMechanism: Number of users that transmit an information piece before a user chooses to share it.
threshold - Variable in class es.uam.eps.ir.relison.diffusion.selections.LimitedCountThresholdSelectionMechanism: Number of users that transmit an information piece before a user chooses to share it.
threshold - Variable in class es.uam.eps.ir.relison.diffusion.selections.LimitedProportionThresholdSelectionMechanism: Proportion of users that transmit an information piece before it is released.
threshold - Variable in class es.uam.eps.ir.relison.diffusion.selections.ProportionThresholdSelectionMechanism: Proportion of users that transmit an information piece before it is released.
threshold - Variable in class es.uam.eps.ir.relison.links.linkprediction.metrics.AbstractClassificationMetric: The classification threshold (values below this will be classified as negative).
threshold - Variable in class es.uam.eps.ir.relison.sna.community.detection.modularity.Louvain: The minimum variation of modularity for another phase 1 round.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.community.modularity.LouvainConfigurator: The parameter identifier for the threshold value.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.CountThresholdModelConfigurator: Identifier for the threshold to surpass for repropagating an information piece
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProportionThresholdModelConfigurator: Identifier for the threshold to surpass for repropagating an information piece
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolIdentifiers: Identifier for the proportion threshold protocol.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.CountThresholdSelectionConfigurator: Identifier for the number of elements needed for repropagating an individual piece.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedCountThresholdSelectionConfigurator: Identifier for the proportion of elements needed for repropagating an individual piece.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.LimitedProportionThresholdSelectionConfigurator: Identifier for the proportion of elements needed for repropagating an individual piece.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.ProportionThresholdSelectionConfigurator: Identifier for the number of elements needed for repropagating an individual piece.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.AccuracyConfigurator: Identifier for the threshold of the link prediction ranking.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.F1ScoreConfigurator: Identifier for the threshold of the link prediction ranking.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.PrecisionConfigurator: Identifier for the threshold of the link prediction ranking.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.RecallConfigurator: Identifier for the threshold of the link prediction ranking.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: When the difference between the previous iteration of the algorithm and the current is smaller than this value, the algorithm stops.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedHITS: Convergence threshold.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PersonalizedSALSA: Convergence threshold.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.randomwalk.PurePersonalizedPageRank: Convergence threshold.
THRESHOLD - Static variable in class es.uam.eps.ir.relison.sna.community.clustering.KMeans: Variation threshold.
THRESHOLD - Variable in class es.uam.eps.ir.relison.sna.metrics.complementary.vertex.ComplementaryPageRank: Threshold.
THRESHOLD - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.PageRank: Threshold
time - Variable in class es.uam.eps.ir.relison.sna.community.detection.connectedness.StronglyConnectedComponents
TIMED - Static variable in class es.uam.eps.ir.relison.grid.diffusion.expiration.ExpirationMechanismIdentifiers: Identifier of the expiration mechanism for information pieces that expires them after a while (fixed)
TimedExpirationConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.expiration: Configures an expiration mechanism that discards all the pieces after a fixed time.
TimedExpirationConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.expiration.TimedExpirationConfigurator
TimedExpirationMechanism - Class in es.uam.eps.ir.relison.diffusion.expiration: Expiration mechanism that discards information pieces after a certain number of iterations.
TimedExpirationMechanism(long) - Constructor for class es.uam.eps.ir.relison.diffusion.expiration.TimedExpirationMechanism: Constructor.
times - Variable in class es.uam.eps.ir.relison.diffusion.data.PropagatedInformation: Number of times the information has arrived to an user.
times - Variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Times in which to store the times
TIMES - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.DistributionParameterReader: Identifiers for the times.
timestamp - Variable in class es.uam.eps.ir.relison.content.Content: Content timestamp
timestamp - Variable in class es.uam.eps.ir.relison.content.TermData: Creation timestamp.
timestamp - Variable in class es.uam.eps.ir.relison.diffusion.data.Information: Time of creation of the information / Time of arrival.
TimestampBasedSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that takes the real timestamps of the users into account.
TimestampBasedSelectionMechanism() - Constructor for class es.uam.eps.ir.relison.diffusion.selections.TimestampBasedSelectionMechanism
TIMESTAMPORDERED - Static variable in class es.uam.eps.ir.relison.grid.diffusion.selection.SelectionMechanismIdentifiers: Identifier for selecting a fixed number of pieces for propagation, and selecting them according to their timestamps.
TimestampOrderedSelectionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.selection: Configures a selection mechanism that sorts the selection of information of each user to propagate by timestamp.
TimestampOrderedSelectionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.selection.TimestampOrderedSelectionConfigurator
TimestampOrderedSelectionMechanism - Class in es.uam.eps.ir.relison.diffusion.selections: Selection mechanism that takes into account the real timestamp of the information pieces to propagate the information owned by the user.
TimestampOrderedSelectionMechanism(int, int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.TimestampOrderedSelectionMechanism: Constructor.
TimestampOrderedSelectionMechanism(int, int, int) - Constructor for class es.uam.eps.ir.relison.diffusion.selections.TimestampOrderedSelectionMechanism: Constructor.
timestamps - Variable in class es.uam.eps.ir.relison.diffusion.data.Data: Ordered set of timestamps when information pieces where published in real life.
TMP - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.LambdaMARTGridSearch: Identifier for the route of the temporary folder.
toGrid() - Method in class es.uam.eps.ir.relison.grid.Parameters: Converts a Parameters object into a grid.
ToLowerParser - Class in es.uam.eps.ir.relison.content.parsing: Simple text parser that converts a text into lower case.
ToLowerParser() - Constructor for class es.uam.eps.ir.relison.content.parsing.ToLowerParser
toString() - Method in enum es.uam.eps.ir.relison.utils.matrix.MatrixLibrary
toString(FeatureType) - Static method in enum es.uam.eps.ir.relison.links.data.letor.FeatureType: Obtains the String value of a feature type.
total - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureCount: The total number of external parameters that have reached the different users.
total - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureRecall: The total number of external parameters that have reached the different users
total - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureRecall: The different values of the feature.
total - Variable in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller: Total number of recommended items.
totalFeats - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualRate: Stores the total number of external features received.
totalFreq - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Total frequency (total income of the population)
totalFreq - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGiniCollection: Total frequency.
TotalNeighbors - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf: Recommends people according to the total number of neighbors between the two users.
TotalNeighbors(FastGraph, EdgeOrientation, EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.foaf.TotalNeighbors: Constructor.
totalParams - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.ExternalFeatureGlobalRate: The total number of external parameters that have reached the different users.
TOTALPROP - Static variable in class es.uam.eps.ir.relison.grid.diffusion.stop.StopConditionIdentifiers: Identifier for stopping simulation after a total number of pieces has been propagated.
TotalPropagatedStopCondition - Class in es.uam.eps.ir.relison.diffusion.stop: Stops after a given number of information pieces has been propagated.
TotalPropagatedStopCondition(long) - Constructor for class es.uam.eps.ir.relison.diffusion.stop.TotalPropagatedStopCondition: Constructor.
TotalPropagatedStopConditionConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.stop: Configures an stop condition that finishes after a given amount of information pieces have been propagated.
TotalPropagatedStopConditionConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.stop.TotalPropagatedStopConditionConfigurator
toWeka(InstanceSet, String) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceTranslator: Translates an InstanceSet to a WekaInstanceSet.
train(InstanceSet) - Method in interface es.uam.eps.ir.relison.links.linkprediction.supervised.Classifier: Trains the classifier.
train(InstanceSet) - Method in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier
train(InstanceSet) - Method in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier
TRAIN - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.LambdaMARTGridSearch: Identifier for the route containing the training instances.
TRAIN - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.supervised.WekaMLGridSearch: Identifier for the route containing the training instances.
trained - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.LogisticRegressionClassifier: Indicates if the classifier has been trained.
trained - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: Indicates if the training of the classifier has been done.
TRAINING - Static variable in class es.uam.eps.ir.relison.diffusion.simulation.SimulationEdgeTypes: Identifier for the links in the training graph.
trainingGraph(Set) - Method in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterRecommender: Builds the training bipartite graph.
trainingGraph(U) - Method in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterRecommender: Computes a reduced training graph
trainInstances - Variable in class es.uam.eps.ir.relison.links.linkprediction.SupervisedLinkPredictor: Training instances.
trainSet - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader: Training set
translateFeatureInfo(InstanceSet) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceTranslator: Given the feature information in a given InstanceSet, translates it into an object containing such feature information for its use by Weka.
translateInstance(Instance, FeatureInformation, WekaInstanceSet) - Method in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceTranslator: Translates an individual instance into a Weka one.
TransposedUpdateablePreferenceData<I,U> - Class in es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable: Updateable transposed preferences, where users and items change roles.
TransposedUpdateablePreferenceData(FastUpdateablePreferenceData<U, I>) - Constructor for class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData: Constructor with default converters between IdxPref and IdPref.
TransposedUpdateablePreferenceData(FastUpdateablePreferenceData<U, I>, Function2<U, IdPref, IdPref>, Function2<Integer, IdxPref, IdxPref>) - Constructor for class es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable.TransposedUpdateablePreferenceData: Constructor with custom converters between IdxPref and IdPref.
transposedVisit(U, Graph, Set, Collection) - Method in class es.uam.eps.ir.relison.sna.community.detection.connectedness.StronglyConnectedComponents: Visits a node by using the inlinks
TRECAveragePrecision<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.metrics.accuracy: Average Precision: average of the precision at each recall level.
TRECAveragePrecision(int, IdealRelevanceModel<U, I>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.metrics.accuracy.TRECAveragePrecision: Constructor.
tree - Variable in class es.uam.eps.ir.relison.graph.generator.TreeCloneGenerator: Tree to clone
tree - Variable in class es.uam.eps.ir.relison.sna.community.Dendogram: The dendogram tree.
Tree - Interface in es.uam.eps.ir.relison.graph.tree: Interface for managing and creating tree graphs.
TreeCloneGenerator - Class in es.uam.eps.ir.relison.graph.generator: Class for cloning trees.
TreeCloneGenerator() - Constructor for class es.uam.eps.ir.relison.graph.generator.TreeCloneGenerator
triangles - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.ClusteringCoefficientComplement: The number of triangles in the network.
triangles - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.ClusteringCoefficientComplement: The number of closed triplets or triangles
triangles - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Number of triangles or closed triplets
triangles - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.ClusteringCoefficientComplement.ClusteringCoefficientUserReranker: The number of triangles in the graph.
triangles - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.ClusteringCoefficientComplement: The number of triangles in the graph.
triangles - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.ClusteringCoefficient: Number of triangles in the graph.
Triplet<X,Y,Z> - Class in es.uam.eps.ir.relison.utils.datatypes: Element that stores three different values.
Triplet(X, Y, Z) - Constructor for class es.uam.eps.ir.relison.utils.datatypes.Triplet: Constructor
triplets - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.globalranking.graph.ClusteringCoefficientComplement: The number of triplets in the network.
triplets - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.local.graph.ClusteringCoefficientComplement: The number of triplets
triplets - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.graph.AbstractClusteringCoefficientReranker: Number of triplets
triplets - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.ClusteringCoefficientComplement.ClusteringCoefficientUserReranker: The number of triads in the graph.
triplets - Variable in class es.uam.eps.ir.relison.links.recommendation.reranking.local.graph.ClusteringCoefficientComplement: The number of triads in the graph.
triplets - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.ClusteringCoefficient: Number of triplets in the graph.
TRUE - Static variable in class es.uam.eps.ir.relison.examples.AuxiliarVariables: String representation of true values.
TukeyTestFileGenerator - Class in es.uam.eps.ir.relison.examples.links.recommendation.evaluation: Given some recommendations, computes the statistical significance between them.
TukeyTestFileGenerator() - Constructor for class es.uam.eps.ir.relison.examples.links.recommendation.evaluation.TukeyTestFileGenerator
Tuple2ol - Class in es.uam.eps.ir.relison.utils.datatypes: Tuple that contains a long as second type.
Tuple2ol(U, long) - Constructor for class es.uam.eps.ir.relison.utils.datatypes.Tuple2ol: Constructor.
Tuple2oo<U,I> - Class in es.uam.eps.ir.relison.utils.datatypes: Class that represents a pair of objects of different type.
Tuple2oo(U, I) - Constructor for class es.uam.eps.ir.relison.utils.datatypes.Tuple2oo: Constructor.
tupleReader - Variable in class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat: Function for transforming a read tuple into a ((node1, node2), value) triplet.
TuplesLinkPredictionFormat - Class in es.uam.eps.ir.relison.links.linkprediction.io: Format for writing the link predictions.
TuplesLinkPredictionFormat(Function3<U, U, Double, String>, Function<String, Tuple2od<Pair>>) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat: Constructor.
TuplesLinkPredictionFormat(Function3<U, U, Double, String>, Function<String, Tuple2od<Pair>>, boolean) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat: Constructor.
TuplesLinkPredictionFormat.Reader - Class in es.uam.eps.ir.relison.links.linkprediction.io: The reader for the format.
TuplesLinkPredictionFormat.Writer - Class in es.uam.eps.ir.relison.links.linkprediction.io: Writer for the format.
tupleWriter - Variable in class es.uam.eps.ir.relison.links.linkprediction.io.TuplesLinkPredictionFormat: Function for setting triplets into text.
TwitterAverageCosineSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter average cosine: executes the average cosine over bipartite graphs from the reduced graph.
TwitterAverageCosineSimilarity(FastGraph, int, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterAverageCosineSimilarity: Constructor.
TwitterAverageCosineSimilarityGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Grid search generator for Twitter version of the average cosine similarity algorithm.
TwitterAverageCosineSimilarityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterAverageCosineSimilarityGridSearch
TWITTERAVGCOS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Average Cosine similarity algorithm by Twitter.
TWITTERCENTROIDCOS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Centroid Cosine similarity algorithm by Twitter.
TwitterCentroidCosineSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter centroid cosine: executes the centroid cosine over bipartite graphs from the reduced graph.
TwitterCentroidCosineSimilarity(FastGraph, int, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterCentroidCosineSimilarity: Constructor.
TwitterCentroidCosineSimilarityGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Grid search generator for Twitter version of the centroid cosine similarity algorithm.
TwitterCentroidCosineSimilarityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterCentroidCosineSimilarityGridSearch
TWITTERMAXCOS - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Maximum Cosine similarity algorithm by Twitter.
TwitterMaximumCosineSimilarity - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter maximum cosine: executes the maximum cosine over bipartite graphs from the reduced graph.
TwitterMaximumCosineSimilarity(FastGraph, int, double) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterMaximumCosineSimilarity: Constructor.
TwitterMaximumCosineSimilarityGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter: Grid search generator for Twitter version of the maximum cosine similarity algorithm.
TwitterMaximumCosineSimilarityGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.twitter.TwitterMaximumCosineSimilarityGridSearch
TwitterRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter: Twitter-based recommender.
TwitterRecommender(FastGraph, int, double, RecommenderSupplier) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.twitter.TwitterRecommender: Constructor.
TWITTOMENDER - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the Twittomender algorithm
TwittomenderGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased: Grid search generator for Twittomender CB algorithm.
TwittomenderGridSearch(Parser) - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.contentbased.TwittomenderGridSearch: Constructor.
TwittomenderRecommender - Class in es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased: Content-based recommendation algorithm, based on a TF-IDF scheme.
TwittomenderRecommender(FastGraph, ForwardIndex, SearchEngine) - Constructor for class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.contentbased.TwittomenderRecommender: Constructor.
type - Static variable in class es.uam.eps.ir.relison.content.index.lucene.LuceneBuilder: Custom type for storing each content.
type - Variable in class es.uam.eps.ir.relison.links.data.ml.features.Feature: Type of the attribute.
TYPE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.protocol.ProtocolParameterReader: Identifier for the type of the protocol
TYPE - Static variable in class es.uam.eps.ir.relison.grid.GridReader: Identifier for the parameter type
TYPE - Static variable in class es.uam.eps.ir.relison.grid.ParametersReader: Identifier for the type of a parameter.
TYPE - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricConfigurationsReader: Identifier for the metric type.
TYPE - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricGridReader: Identifier for the metric type.
TYPE - Static variable in class es.uam.eps.ir.relison.grid.sna.MetricParametersReader: Identifier for the metric type.
types - Variable in class es.uam.eps.ir.relison.graph.edges.fast.FastEdges: Relation for storing the types of the edges.
types - Variable in class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges: Relation for storing the types of the edges.
types - Variable in class es.uam.eps.ir.relison.links.data.letor.FeatureInformation: Types of the different features.
types - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader: Types of the attribute (Nominal, Continuous or Numerical, Class...)
types - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: The types for each attribute.
types() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedUnweightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.complementary.DirectedWeightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedUnweightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.complementary.UndirectedWeightedGraphTest: Test the types of the edges
types() - Method in class es.uam.eps.ir.relison.graph.DirectedUnweightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.DirectedWeightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.UndirectedUnweightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.graph.UndirectedWeightedGraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.multigraph.DirectedUnweightedMultigraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.multigraph.DirectedWeightedMultigraphTest: Test the types of the edges
types() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedUnweightedMultigraphTest: Test the weights of the edges
types() - Method in class es.uam.eps.ir.relison.multigraph.UndirectedWeightedMultigraphTest: Test the weights of the edges

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