Package es.uam.eps.ir.relison.grid.links.recommendation.sampling

Classes and interfaces for configuration files for samplers that reduce the number of candidate users for generating feature vectors.

Interface Summary

Interface	Description
IndividualSamplerFunction<U>	Functions for obtaining an sampling approach that, given a user, selects a group of candidate links for the prediction.
IndividualSamplingAlgorithmConfigurator<U>	Definition of the classes for obtaining the parameters for different sampling approaches.

Class Summary

Class	Description
AllSamplerConfigurator<U>	Class for configuring a sampling approach which takes all nodes.
DistanceTwoIndividualSamplerConfigurator<U>	Class for configuring a sampling approach which takes all nodes at distance two from the target user.
DistanceTwoLinkPredictionIndividualSamplerConfigurator<U>	Class for selecting nodes at distance 2 from the target user, considering the usual approach in link prediction, i.e.
IndividualSamplingAlgorithmGridReader	Reads the grid for sampling algorithms from a YAML file.
IndividualSamplingAlgorithmGridSelector<U>	Given a grid, this class obtains a sampling algorithm, to apply to every target user for a link prediction / contact recommendation approach.
IndividualSamplingAlgorithmIdentifiers	Identifiers for the different sampling approaches in the library.
LinkPredictionSamplerConfigurator<U>	Class for configuring a sampling approach which takes all nodes.
RecommenderIndividualSamplerConfigurator<U>	Class for configuring distance two individual samplers.