Package es.uam.eps.ir.relison.grid.diffusion.metrics.features.indiv

Classes and interfaces for configuration files for metrics for information propagation simulations based on each user / information pieces feature.

See Also:

es.uam.eps.ir.relison.diffusion.metrics.features

Class Summary

Class	Description
ExternalFeatureIndividualGiniComplementConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the complement of the Gini coefficient over those features unknown by the user.
ExternalFeatureIndividualRateConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the proportion of the received features unknown to the users.
ExternalFeatureRecallConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the fraction of the unknown features that a user has discovered.
FeatureIndividualEntropyConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the entropy of the features that a single user has received.
FeatureIndividualGiniComplementConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the complement of the Gini coefficient of the features that a single user has received.
FeatureIndividualKLDivergenceConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the Kullback-Leibler divergence of the features that a single user has received.
FeatureRecallConfigurator<U extends java.io.Serializable,I extends java.io.Serializable,F>	Configures a metric that measures the fraction of the features that a user has discovered.