F-Index

A B C D E F G H I J K L M N O P Q R S T U V W Z
All Classes|All Packages

F

F1Score - Class in es.uam.eps.ir.relison.links.linkprediction.metrics: Implementation of the F1 score metric for link prediction.
F1Score(double) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.F1Score: Constructor.
F1Score(int) - Constructor for class es.uam.eps.ir.relison.links.linkprediction.metrics.F1Score: Constructor.
F1SCORE - Static variable in class es.uam.eps.ir.relison.grid.links.prediction.metrics.LinkPredictionMetricIdentifiers: Identifier for the F1-score metric.
F1ScoreConfigurator<U,F> - Class in es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy: Grid search generator for the F1 score of the link prediction method.
F1ScoreConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.links.prediction.metrics.accuracy.F1ScoreConfigurator
factorization - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFGraphUpdateableRecommender: Updateable matrix factorization.
factorization - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFUpdateableRecommender: The current matrix factorization.
factorize(int, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: Creates and calculates a factorization.
factorize(int, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.UpdateableFactorizer: Creates and calculates a factorization.
factorize(UpdateableFactorization<U, I>, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.als.ALSUpdateableFactorizer: Calculates the factorization by using a previously generate matrix factorization.
factorize(UpdateableFactorization<U, I>, FastUpdateablePreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.UpdateableFactorizer: Calculates the factorization by using a previously generate matrix factorization.
factorizer - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFGraphUpdateableRecommender: Updateable matrix factorizer.
factorizer - Variable in class es.uam.eps.ir.relison.links.recommendation.updateable.mf.MFUpdateableRecommender: The factorizer.
FALSE - Static variable in class es.uam.eps.ir.relison.examples.AuxiliarVariables: String representation of false values.
fast - Static variable in class es.uam.eps.ir.relison.utils.matrix.MatrixChecker: True if we can use the JBLAS library, false otherwise.
FastDirectedUnweightedEdges - Class in es.uam.eps.ir.relison.graph.edges.fast: Fast implementation of directed unweighted edges.
FastDirectedUnweightedEdges() - Constructor for class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedUnweightedEdges: Constructor.
FastDirectedUnweightedGraph<V> - Class in es.uam.eps.ir.relison.graph.fast: Fast implementation for a directed unweighted graph.
FastDirectedUnweightedGraph() - Constructor for class es.uam.eps.ir.relison.graph.fast.FastDirectedUnweightedGraph: Constructor.
FastDirectedUnweightedMultiEdges - Class in es.uam.eps.ir.relison.graph.multigraph.edges.fast: Fast implementation of directed unweighted edges for multigraphs.
FastDirectedUnweightedMultiEdges() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedUnweightedMultiEdges: Constructor.
FastDirectedUnweightedMultiGraph - Class in es.uam.eps.ir.relison.graph.multigraph.fast: Fast implementation for a directed unweighted multi-graph.
FastDirectedUnweightedMultiGraph() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.fast.FastDirectedUnweightedMultiGraph: Constructor.
FastDirectedWeightedEdges - Class in es.uam.eps.ir.relison.graph.edges.fast: Fast implementation of directed weighted edges.
FastDirectedWeightedEdges() - Constructor for class es.uam.eps.ir.relison.graph.edges.fast.FastDirectedWeightedEdges: Constructor.
FastDirectedWeightedGraph<V> - Class in es.uam.eps.ir.relison.graph.fast: Fast implementation of a directed weighted graph.
FastDirectedWeightedGraph() - Constructor for class es.uam.eps.ir.relison.graph.fast.FastDirectedWeightedGraph: Constructor.
FastDirectedWeightedMultiEdges - Class in es.uam.eps.ir.relison.graph.multigraph.edges.fast: Fast implementation of directed weighted edges for multigraphs.
FastDirectedWeightedMultiEdges() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastDirectedWeightedMultiEdges: Constructor.
FastDirectedWeightedMultiGraph - Class in es.uam.eps.ir.relison.graph.multigraph.fast: Fast implementation of a directed weighted graph.
FastDirectedWeightedMultiGraph() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.fast.FastDirectedWeightedMultiGraph: Constructor.
FastDistanceCalculator - Class in es.uam.eps.ir.relison.sna.metrics.distance: Fast version of a distance calculator which just computes the distances between pairs of nodes.
FastDistanceCalculator() - Constructor for class es.uam.eps.ir.relison.sna.metrics.distance.FastDistanceCalculator: Constructor
FastEdges - Class in es.uam.eps.ir.relison.graph.edges.fast: Abstract fast implementation of class Edges.
FastEdges(AutoRelation<Double>, AutoRelation<Integer>) - Constructor for class es.uam.eps.ir.relison.graph.edges.fast.FastEdges: Constructor.
fastFill(FastRecommendation, int, Function<U, IntPredicate>) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller
fastFill(FastRecommendation, int, Function<U, IntPredicate>) - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.FastFiller: Given a recommendation, fills it with until it reaches the desired number of items (if possible).
FastFiller<U,I> - Interface in es.uam.eps.ir.relison.links.recommendation.filler: Fast version of the filler interface.
FastGiniIndex - Class in es.uam.eps.ir.relison.utils.indexes: Class for computing and updating the Gini index.
FastGiniIndex(int) - Constructor for class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: Constructor.
FastGiniIndex(int, Map<Integer, Long>) - Constructor for class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: Constructor.
FastGraph - Interface in es.uam.eps.ir.relison.graph.fast: Interface for fast implementations of graphs.
FastGraphIndex - Class in es.uam.eps.ir.relison.links.data: Class that represents both user and item indexes for a graph.
FastGraphIndex(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.data.FastGraphIndex: Constructor.
FastGreedy - Class in es.uam.eps.ir.relison.sna.community.detection.modularity: Fast Greedy algorithm for optimizing modularity.
FastGreedy() - Constructor for class es.uam.eps.ir.relison.sna.community.detection.modularity.FastGreedy
FASTGREEDY - Static variable in class es.uam.eps.ir.relison.grid.community.CommunityDetectionIdentifiers: Identifier of the FastGreedy community detection approach.
FastGreedyConfigurator - Class in es.uam.eps.ir.relison.grid.community.modularity: Configures the FastGreedy community detection algorithm.
FastGreedyConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.community.modularity.FastGreedyConfigurator
FASTIMF - Static variable in class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.AlgorithmIdentifiers: Identifier for the fast implicit Matrix Factorization algorithm.
FastImplicitMFGridSearch - Class in es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf: Grid search generator for the fast Implicit Matrix Factorization algorithm by PilÃ¡szy, Zibriczky and Tikk (PZT) algorithm.
FastImplicitMFGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.links.recommendation.algorithms.standalone.mf.FastImplicitMFGridSearch
FastIndex<T> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation of a generic index.
FastIndex() - Constructor for class es.uam.eps.ir.relison.index.fast.FastIndex: Constructor.
FastIndexReader - Class in es.uam.eps.ir.relison.io.index: Reads an index from a file.
FastIndexReader(Parser) - Constructor for class es.uam.eps.ir.relison.io.index.FastIndexReader: Constructor.
FastMultiEdges - Class in es.uam.eps.ir.relison.graph.multigraph.edges.fast: Abstract fast implementation of class MultiEdges.
FastMultiEdges(AutoRelation<List<Double>>, AutoRelation<List<Integer>>) - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastMultiEdges: Constructor.
FastMultiGraph - Interface in es.uam.eps.ir.relison.graph.multigraph.fast: Interface for fast implementations of multi-graphs.
FastTree - Class in es.uam.eps.ir.relison.graph.tree.fast: Fast implementation of the tree.
FastTree(DirectedEdges) - Constructor for class es.uam.eps.ir.relison.graph.tree.fast.FastTree: Constructor.
FastUndirectedUnweightedEdges - Class in es.uam.eps.ir.relison.graph.edges.fast: Fast implementation of undirected unweighted edges.
FastUndirectedUnweightedEdges() - Constructor for class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedUnweightedEdges: Constructor.
FastUndirectedUnweightedGraph<V> - Class in es.uam.eps.ir.relison.graph.fast: Fast implementation of an undirected unweighted graph.
FastUndirectedUnweightedGraph() - Constructor for class es.uam.eps.ir.relison.graph.fast.FastUndirectedUnweightedGraph: Constructor.
FastUndirectedUnweightedMultiEdges - Class in es.uam.eps.ir.relison.graph.multigraph.edges.fast: Fast implementation of undirected unweighted edges for multigraphs.
FastUndirectedUnweightedMultiEdges() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedUnweightedMultiEdges: Constructor.
FastUndirectedUnweightedMultiGraph - Class in es.uam.eps.ir.relison.graph.multigraph.fast: Fast implementation of an undirected unweighted multi-graph
FastUndirectedUnweightedMultiGraph() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.fast.FastUndirectedUnweightedMultiGraph: Constructor.
FastUndirectedWeightedEdges - Class in es.uam.eps.ir.relison.graph.edges.fast: Fast implementation of undirected weighted edges.
FastUndirectedWeightedEdges() - Constructor for class es.uam.eps.ir.relison.graph.edges.fast.FastUndirectedWeightedEdges: Constructor.
FastUndirectedWeightedGraph<V> - Class in es.uam.eps.ir.relison.graph.fast: Fast implementation for an Undirected Weighted graph.
FastUndirectedWeightedGraph() - Constructor for class es.uam.eps.ir.relison.graph.fast.FastUndirectedWeightedGraph: Constructor for an empty graph.
FastUndirectedWeightedMultiEdges - Class in es.uam.eps.ir.relison.graph.multigraph.edges.fast: Fast implementation of undirected weighted edges for multigraphs.
FastUndirectedWeightedMultiEdges() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.edges.fast.FastUndirectedWeightedMultiEdges: Constructor.
FastUndirectedWeightedMultiGraph - Class in es.uam.eps.ir.relison.graph.multigraph.fast: Fast implementation for an Undirected Weighted multigraph.
FastUndirectedWeightedMultiGraph() - Constructor for class es.uam.eps.ir.relison.graph.multigraph.fast.FastUndirectedWeightedMultiGraph: Constructor for an empty graph
FastUnweightedAutoRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation for an unweighted relation of objects with themselves.
FastUnweightedAutoRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedAutoRelation: Constructor.
FastUnweightedAutoRelation(List<List<Integer>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedAutoRelation: Constructor.
FastUnweightedPairwiseRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Unweighted relation between different types of objects.
FastUnweightedPairwiseRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation: Constructor.
FastUnweightedPairwiseRelation(List<List<Integer>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation: Constructor.
FastUnweightedRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation of an unweighted relation.
FastUnweightedRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation: Constructor.
FastUnweightedRelation(List<List<Integer>>, List<List<Integer>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation: Constructor.
FastUnweightedTree - Class in es.uam.eps.ir.relison.graph.tree.fast: Fast implementation of an unweighted tree
FastUnweightedTree() - Constructor for class es.uam.eps.ir.relison.graph.tree.fast.FastUnweightedTree: Constructor.
FastUpdateableFeatureIndex<F> - Interface in es.uam.eps.ir.relison.links.data.updateable.index.fast: Fast and updateable version of a FeatureIndex, where features are internally represented with numerical indices from 0 (inclusive) to the number of indexed features (exclusive).
FastUpdateableGraphIndex - Class in es.uam.eps.ir.relison.links.data.updateable.index.fast: Class that represents both user and item indexes for a graph.
FastUpdateableGraphIndex(FastGraph) - Constructor for class es.uam.eps.ir.relison.links.data.updateable.index.fast.FastUpdateableGraphIndex: Constructor.
FastUpdateableItemIndex - Interface in es.uam.eps.ir.relison.links.data.updateable.index.fast: Fast updateable version of ItemIndex, where items are internally represented with numerical indices from 0 (inclusive) to the number of indexed items (exclusive).
FastUpdateablePointWisePreferenceData<U,I> - Interface in es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable: Fast updateable version of a pointwise preference data.
FastUpdateablePreferenceData<U,I> - Interface in es.uam.eps.ir.relison.links.data.updateable.preference.fast.updateable: Interface for updateable preference data.
FastUpdateableRankingRecommender<U,I> - Class in es.uam.eps.ir.relison.links.recommendation.updateable.fast: Fast updateable recommender that ranks the user.
FastUpdateableRankingRecommender(FastUpdateablePreferenceData<U, I>) - Constructor for class es.uam.eps.ir.relison.links.recommendation.updateable.fast.FastUpdateableRankingRecommender: Constructor.
FastUpdateableRecommender<U,I> - Interface in es.uam.eps.ir.relison.links.recommendation.updateable.fast: Interface for defining recommendation algorithms which can be updated over time.
FastUpdateableUserIndex - Interface in es.uam.eps.ir.relison.links.data.updateable.index.fast: Fast and updateable version of UserIndex, where users are internally represented with numerical indices from 0 (inclusive) to the number of indexed users (exclusive).
FastUser - Class in es.uam.eps.ir.relison.diffusion.data: Fast implementation for users.
FastUser(U) - Constructor for class es.uam.eps.ir.relison.diffusion.data.FastUser: Constructor.
FastWeightedAutoRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation for a weighted auto relation.
FastWeightedAutoRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedAutoRelation: Constructor.
FastWeightedAutoRelation(List<List<IdxValue<W>>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedAutoRelation: Constructor.
FastWeightedPairwiseRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation for a weighted relation.
FastWeightedPairwiseRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedPairwiseRelation: Constructor.
FastWeightedPairwiseRelation(List<List<IdxValue<W>>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedPairwiseRelation: Constructor.
FastWeightedRelation<W> - Class in es.uam.eps.ir.relison.index.fast: Fast implementation of a weighted relation.
FastWeightedRelation() - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedRelation: Constructor.
FastWeightedRelation(List<List<IdxValue<W>>>, List<List<IdxValue<W>>>) - Constructor for class es.uam.eps.ir.relison.index.fast.FastWeightedRelation: Constructor.
FastWeightedTree - Class in es.uam.eps.ir.relison.graph.tree.fast: Fast implementation of a weighted tree.
FastWeightedTree() - Constructor for class es.uam.eps.ir.relison.graph.tree.fast.FastWeightedTree: Constructor.
FD - Static variable in class es.uam.eps.ir.relison.grid.sna.vertex.VertexMetricIdentifiers: Identifier for the Free discovery metric.
featCounter - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.ExternalFeatureIndividualGiniComplement: For each user, registers the number of features with a certain frequency of appearance.
featCounter - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualGini: For each user, registers the number of features with a certain frequency of appearance.
featMap - Variable in class es.uam.eps.ir.relison.links.recommendation.features.CommunityFeatureData: Feature to item map.
featMap - Variable in class es.uam.eps.ir.relison.links.recommendation.features.IndexFeatureData: Feature to item map.
feature - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.InformationFeatureDistribution: Name of the feature.
feature - Variable in class es.uam.eps.ir.relison.diffusion.metrics.distributions.UserFeatureDistribution: Name of the user feature.
feature - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.AbstractFeatureGlobalSimulationMetric: Feature name.
Feature<F> - Class in es.uam.eps.ir.relison.diffusion.data: Class for the parameters we want to measure at evaluation.
Feature - Class in es.uam.eps.ir.relison.links.data.ml.features: Stores the information about an attribute.
Feature(F) - Constructor for class es.uam.eps.ir.relison.diffusion.data.Feature: Constructor.
Feature(String, FeatureType) - Constructor for class es.uam.eps.ir.relison.links.data.ml.features.Feature: Constructor.
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.InfoFeatureDistributionConfigurator: Identifier for the selected feature.
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.distributions.UserFeatDistributionConfigurator: Identifier for the selected feature.
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.ExternalFeatureGlobalGiniConfigurator: Identifier for the parameter name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.ExternalFeatureGlobalRateConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalEntropyConfigurator: Identifier for the parameter name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalGiniComplementConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalKLDivergenceConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalUserEntropyConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalUserGiniComplementConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.UserFeatureCountConfigurator: Identifier for the name of the feature.
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureIndividualGiniComplementConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureIndividualRateConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.ExternalFeatureRecallConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualEntropyConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualGiniComplementConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualKLDivergenceConfigurator: Identifier for the feature name
FEATURE - Static variable in class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureRecallConfigurator: Identifier for the feature name
FeatureGlobalEntropy - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Metric that computes the entropy over the number of times each feature has been received.
FeatureGlobalEntropy(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalEntropy: Constructor.
FeatureGlobalEntropyConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the proportion of the received features unknown to the users.
FeatureGlobalEntropyConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalEntropyConfigurator
FeatureGlobalGiniComplement - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Metric that computes the complement of the Gini coefficient over the different features.
FeatureGlobalGiniComplement(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalGiniComplement: Constructor.
FeatureGlobalGiniComplementConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the Gini complement over the features which have been received by the users.
FeatureGlobalGiniComplementConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalGiniComplementConfigurator
FeatureGlobalKLDivergence - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: This global metric computes the number of bytes of information we expect to lose if we approximate the real distribution of features with the estimated distribution obtained from simulating.
FeatureGlobalKLDivergence(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalKLDivergence: Constructor.
FeatureGlobalKLDivergenceConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the KL divergence over the features which have been received by the users.
FeatureGlobalKLDivergenceConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalKLDivergenceConfigurator
FeatureGlobalKLDivergenceInverse - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: This global metric computes the number of bytes of information we expect to lose if we approximate the observed distribution of the parameters with their prior distribution (i.e.
FeatureGlobalKLDivergenceInverse(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalKLDivergenceInverse: Constructor.
FeatureGlobalUserEntropy - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Computes the entropy over the different features.
FeatureGlobalUserEntropy(String, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalUserEntropy: Constructor.
FeatureGlobalUserEntropyConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the entropy over the different features, where, for each feature, we measure the number of users who have received it.
FeatureGlobalUserEntropyConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalUserEntropyConfigurator
FeatureGlobalUserGiniComplement - Class in es.uam.eps.ir.relison.diffusion.metrics.features.global: Computes the complement of the Gini coefficient over the different features.
FeatureGlobalUserGiniComplement(String, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.global.FeatureGlobalUserGiniComplement: Constructor.
FeatureGlobalUserGiniComplementConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.global: Configures a metric that measures the complement of the Gini coefficient over the different features, where, for each feature, we measure the number of users who have received it.
FeatureGlobalUserGiniComplementConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.global.FeatureGlobalUserGiniComplementConfigurator
FeatureIndividualEntropy - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: It computes the entropy of the distribution of times that the different values of a user or information piece feature has reached the different users in the network during a simulation.
FeatureIndividualEntropy(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualEntropy: Constructor.
FeatureIndividualEntropyConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the entropy of the features that a single user has received.
FeatureIndividualEntropyConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualEntropyConfigurator
FeatureIndividualGini - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: It computes the Gini complement of the distribution of times that the different values of a user or information piece feature has reached the different users in the network during a simulation.
FeatureIndividualGini(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualGini: Constructor.
FeatureIndividualGiniComplementConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the complement of the Gini coefficient of the features that a single user has received.
FeatureIndividualGiniComplementConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualGiniComplementConfigurator
FeatureIndividualKLDivergence - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: This individual metric computes the number of bytes of information we expect to lose if we approximate the real distribution of features of the users (the total frequency of appearance of the features over the information pieces) with the estimated distribution obtained from simulating.
FeatureIndividualKLDivergence(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureIndividualKLDivergence: Constructor.
FeatureIndividualKLDivergenceConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the Kullback-Leibler divergence of the features that a single user has received.
FeatureIndividualKLDivergenceConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureIndividualKLDivergenceConfigurator
FeatureInformation - Class in es.uam.eps.ir.relison.links.data.letor: Class for storing some information about the features for ML patterns.
FeatureInformation(List<String>, List<FeatureType>) - Constructor for class es.uam.eps.ir.relison.links.data.letor.FeatureInformation: Constructor.
FeatureKLDivergenceInverse - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: This individual metric computes the number of bytes of information we expect to lose if we approximate the observed distribution of the parameters received by the user with their prior distribution (i.e.
FeatureKLDivergenceInverse(String, boolean, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureKLDivergenceInverse: Constructor.
featureName - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.ContainsInformationFeatureFilter: Name of the field.
featureName - Variable in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter: The name of the information parameter.
FeatureRecall - Class in es.uam.eps.ir.relison.diffusion.metrics.features.indiv: Computes the fraction of all the features that each user has received during the diffusion process.
FeatureRecall(String, boolean) - Constructor for class es.uam.eps.ir.relison.diffusion.metrics.features.indiv.FeatureRecall: Constructor.
FeatureRecallConfigurator - Class in es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv: Configures a metric that measures the fraction of the features that a user has discovered.
FeatureRecallConfigurator() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv.FeatureRecallConfigurator
features - Variable in class es.uam.eps.ir.relison.diffusion.data.Data: Feature indexes (stored by the name of the parameter).
features - Variable in class es.uam.eps.ir.relison.links.data.ml.features.Features: The list of features.
features - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceReader: Attribute information for Weka
features - Variable in class es.uam.eps.ir.relison.links.data.ml.weka.WekaInstanceSet: The information about the different features in the dataset.
Features - Class in es.uam.eps.ir.relison.links.data.ml.features: A class for storing the set of attributes which might be used by a machine learning approach.
Features(List<Feature>, int) - Constructor for class es.uam.eps.ir.relison.links.data.ml.features.Features: Constructor.
featuresInfo - Variable in class es.uam.eps.ir.relison.links.data.letor.InstanceSet: Information about the different features in the dataset.
FeatureType - Enum in es.uam.eps.ir.relison.links.data.letor: Types of the features.
FeatureType - Enum in es.uam.eps.ir.relison.links.data.ml.features: Enumeration for the different types that a feature can take.
FeatureType() - Constructor for enum es.uam.eps.ir.relison.links.data.letor.FeatureType
FeatureType() - Constructor for enum es.uam.eps.ir.relison.links.data.ml.features.FeatureType
fill(Recommendation<U, I>, int, Function<U, Predicate>) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller
fill(Recommendation<U, I>, int, Function<U, Predicate>) - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.Filler: Given a recommendation, fills it with until it reaches the desired number of items (if possible).
filled - Variable in class es.uam.eps.ir.relison.links.recommendation.filler.AbstractFastFiller: Accumulated number of filled items in recommendations
Filler<U,I> - Interface in es.uam.eps.ir.relison.links.recommendation.filler: Methods for classes that might be used to complete recommendation lists which do not fill themselves due to coverage problems of the algorithm.
fillerList(int) - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.FastFiller: Returns a list with the identifiers of the items.
fillerList(int) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.IdFiller
fillerList(int) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller
fillerList(U) - Method in interface es.uam.eps.ir.relison.links.recommendation.filler.Filler: Obtains the filler list for a given user.
fillerList(U) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.IdFiller
fillerList(U) - Method in class es.uam.eps.ir.relison.links.recommendation.filler.RandomFiller
fillValues(Map<Integer, Long>) - Method in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: Given a relation of items and frequencies, updates the values of the items indicated in the relation.
filter(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter
filter(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.CombinedFilter
filter(Data<U, I, F>) - Method in interface es.uam.eps.ir.relison.diffusion.data.filter.DataFilter: Filters the data.
FILTER - Static variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Identifier for the filter
FilterConfigurator - Interface in es.uam.eps.ir.relison.grid.diffusion.filter: Interface for configuring a data filter for information diffusion from a given set of parameters.
filteredGraph(Graph, Function<U, IntPredicate>) - Static method in class es.uam.eps.ir.relison.graph.Adapters: Given a filter, it applies it to the edges in the graph.
filterGraph(Data<U, I, F>, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Obtains the filtered graph.
filterGraph(Data<U, I, F>, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter
FilterIdentifiers - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Identifiers for the different data filters for information diffusion which are available in the framework.
FilterIdentifiers() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.FilterIdentifiers
filterInfoParameterRelation(Data<U, I, F>, String, Index, Index<F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the relation between information pieces and a parameter.
filterInfoParameterRelation(Data<U, I, F>, String, Index, Index<F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the set of information pieces.
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.BasicFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.ContainsInformationFeatureFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.InformationFeatureSelectionFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.NumInformationPiecesFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.OnlyRepropagatedPiecesFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter
filterInfoPieces(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.WithCreatorFilter
filterInformation(Data<U, I, F>, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the expanded information.
FilterParameterReader - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Class for reading a filter for information diffusion.
FilterParameterReader() - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.FilterParameterReader: Constructor.
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the set of feature values
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.BasicFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.ContainsInformationFeatureFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.InformationFeatureSelectionFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.NumInformationPiecesFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.OnlyRepropagatedPiecesFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter
filterParameters(Data<U, I, F>, String, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.WithCreatorFilter
filterParams - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Parameters for the different filters.
filterParams - Variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Parameters for the different filters.
filterRealPropagatedRelation(Data<U, I, F>, Index, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the relation between users and propagated pieces of information in real life.
FILTERS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationMetricsParameterReader: Identifier for filters
FILTERS - Static variable in class es.uam.eps.ir.relison.grid.diffusion.SimulationParameterReader: Identifier for filters
FilterSelector - Class in es.uam.eps.ir.relison.grid.diffusion.filter: Class for selecting and configuring a filter for the information diffusion process from a set of parameters.
FilterSelector(Parser<F>, F) - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.FilterSelector: Constructor.
FilterSelector(Parser<F>, F, Graph) - Constructor for class es.uam.eps.ir.relison.grid.diffusion.filter.FilterSelector: Constructor.
filterUserInformation(Data<U, I, F>, Index, Index) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the relation between users and information pieces.
filterUserParameterRelation(Data<U, I, F>, String, Index, Index<F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the relation between users and a parameter.
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.AbstractDataFilter: Filters the set of users.
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.BasicFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.ContainsInformationFeatureFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.EmptyFeatureFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.InformationFeatureSelectionFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.MinimumFrequencyInformationFeatureFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.NumInformationPiecesFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.OnlyRepropagatedPiecesFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.RelevantEdgesFilter
filterUsers(Data<U, I, F>) - Method in class es.uam.eps.ir.relison.diffusion.data.filter.WithCreatorFilter
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.AbstractCommunityEdgeGiniComplement: Finds the index of a pair of communities in the Gini index calculation.
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.CompleteCommunityEdgeGiniComplement
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.InterCommunityEdgeGiniComplement
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.SemiCompleteCommunityEdgeGiniComplement
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedCompleteCommunityEdgeGiniComplement: Finds the index for a pair of communities in the matrix.
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedInterCommunityEdgeGiniComplement: Finds the index for a pair of communities in the matrix.
findIndex(int, int) - Method in class es.uam.eps.ir.relison.links.recommendation.reranking.global.swap.comm.gini.edge.sizenormalized.SizeNormalizedSemiCompleteCommunityEdgeGiniComplement: Finds the index for a pair of communities in the matrix
findM(DenseDoubleMatrix2D, DenseDoubleMatrix2D, FastPreferenceData<U, I>) - Method in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.mf.PMFFactorizerBasic: Finds an intermediate matrix used for factorization.
findOptimalJoint(Graph, Communities) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.AbstractFastGreedy: Finds the optimal pair of communities to merge.
findOptimalJoint(Graph, Communities) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.SizeWeightedFastGreedy
findOptimalJoint(Graph, Communities) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.FastGreedy: Finds the optimal pair of communities to merge.
findOptimalJoint(Graph, Communities, Double2DoubleMap, List<Double>, double) - Method in class es.uam.eps.ir.relison.sna.community.detection.modularity.balanced.AlternativeGiniFastGreedy: Finds the optimal two communities to join.
findSCC(Graph) - Method in class es.uam.eps.ir.relison.sna.community.detection.connectedness.StronglyConnectedComponents: Finds the strongly connected components of the graph.
findWCC(Graph) - Method in class es.uam.eps.ir.relison.sna.community.detection.connectedness.WeaklyConnectedComponents: Finds the weakly connected components of the graph.
first - Variable in class es.uam.eps.ir.relison.sna.metrics.vertex.Distance2Degree: The orientation for selecting the neighborhood of the user.
first - Variable in class es.uam.eps.ir.relison.utils.datatypes.CompTuple2oo: First object
first - Variable in class es.uam.eps.ir.relison.utils.datatypes.Tuple2oo: First object
firstIdxList - Variable in class es.uam.eps.ir.relison.index.fast.FastUnweightedPairwiseRelation: Links from the first kind of objects to the second.
firstIdxList - Variable in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation: Links from the first kind of objects to the second.
firstIdxList - Variable in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation: Links from the first kind of objects to the second.
firstsWithSeconds() - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedAutoRelation
firstsWithSeconds() - Method in class es.uam.eps.ir.relison.index.fast.FastUnweightedRelation
firstsWithSeconds() - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedAutoRelation
firstsWithSeconds() - Method in class es.uam.eps.ir.relison.index.fast.FastWeightedRelation
firstsWithSeconds() - Method in interface es.uam.eps.ir.relison.index.Relation: Obtains the elements in first set with relations to the ones in the second.
flag - Variable in class es.uam.eps.ir.relison.sna.metrics.distance.CompleteDistanceCalculator: Flag for detecting whether the algorithm should or should not stop.
floatgen - Static variable in class es.uam.eps.ir.relison.utils.generator.Generators: Float generator.
FOAF - Static variable in class es.uam.eps.ir.relison.grid.sna.pair.PairMetricIdentifiers: Identifier for the neighbor overlap metric.
FOAFGridSearch - Class in es.uam.eps.ir.relison.grid.sna.pair: Grid for the neighbor overlap of a pair of users.
FOAFGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.pair.FOAFGridSearch
folder - Variable in exception es.uam.eps.ir.relison.content.index.exceptions.NoIndexException: The route where the index has been searched.
forward - Variable in class es.uam.eps.ir.relison.content.index.AbstractIndex: Mapping from identifiers to contents.
ForwardIndex<C> - Interface in es.uam.eps.ir.relison.content.index: Interface for defining a forward index.
FreeDiscovery - Class in es.uam.eps.ir.relison.sna.metrics.vertex: Finds how unpopular the user is in the network.
FreeDiscovery(EdgeOrientation) - Constructor for class es.uam.eps.ir.relison.sna.metrics.vertex.FreeDiscovery: Constructor.
FreeDiscoveryGridSearch - Class in es.uam.eps.ir.relison.grid.sna.vertex
FreeDiscoveryGridSearch() - Constructor for class es.uam.eps.ir.relison.grid.sna.vertex.FreeDiscoveryGridSearch
freq - Variable in class es.uam.eps.ir.relison.content.index.freq.impl.ImplTermFreq: The frequency.
freq - Variable in class es.uam.eps.ir.relison.content.index.structure.Posting: Frequency of the term associated to the posting in the document.
freqsum - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureGiniComplement: Sum of the frequencies.
freqSum - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: The sum of the frequencies of all items.
frequencies - Variable in class es.uam.eps.ir.relison.diffusion.metrics.features.global.UserFeatureGiniComplement: Map for storing the frequency of the user/feature pairs.
frequencies - Variable in class es.uam.eps.ir.relison.links.linkprediction.supervised.classifiers.NaiveBayesClassifier: A list of matrices which contains the information for each attribute in the training set.
frequencies - Variable in class es.uam.eps.ir.relison.utils.indexes.FastGiniIndex: For each item in the collection, stores the number of times it has been recommended.
frequencies - Variable in class es.uam.eps.ir.relison.utils.indexes.MonteCarloGini: Auxiliar map for storing the frequency of each element in the population.
FreqVector - Interface in es.uam.eps.ir.relison.content.index.freq: Frequency vector for forward indexes.
fromString(String) - Static method in enum es.uam.eps.ir.relison.utils.matrix.MatrixLibrary: From a string, reads the identifier of the matrix library.
fullSize - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLDSimilarity: Sum of all the sizes of the user neighborhoods.
fullSize - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.knn.similarities.ir.QLJMSimilarity: Sum of the neighborhood sizes
fullSize - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLD: Sum of the neighborhood sizes
fullSize - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLJM: Sum of the neighborhood sizes
fullSize - Variable in class es.uam.eps.ir.relison.links.recommendation.algorithms.standalone.ir.QLL: The sum of the user lengths.
function - Variable in class es.uam.eps.ir.relison.sna.metrics.graph.Assortativity: Function for computing the values for each node.

A B C D E F G H I J K L M N O P Q R S T U V W Z
All Classes|All Packages