Interface IndividualSamplingAlgorithmConfigurator<U>

Type Parameters:
U - type of the users
All Known Implementing Classes:
AllSamplerConfigurator, DistanceTwoIndividualSamplerConfigurator, DistanceTwoLinkPredictionIndividualSamplerConfigurator, LinkPredictionSamplerConfigurator, RecommenderIndividualSamplerConfigurator

public interface IndividualSamplingAlgorithmConfigurator<U>
Definition of the classes for obtaining the parameters for different sampling approaches. Such sampling approaches are applied to each different user in the network separately.
  • Method Summary

    Modifier and Type Method Description
    org.jooq.lambda.tuple.Tuple2<java.lang.String,​IndividualSamplerFunction<U>> grid​(Parameters params)
    Obtains a function for obtaining an individual sampling algorithm.
    org.jooq.lambda.tuple.Tuple2<java.lang.String,​IndividualSampler<U>> grid​(Parameters params, FastGraph<U> trainGraph, FastGraph<U> testGraph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,​U> prefData)
    Obtains an individual sampling algorithm.
  • Method Details

    • grid

      org.jooq.lambda.tuple.Tuple2<java.lang.String,​IndividualSampler<U>> grid​(Parameters params, FastGraph<U> trainGraph, FastGraph<U> testGraph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,​U> prefData)
      Obtains an individual sampling algorithm.
      Parameters:
      params - the parameter selection for the approach.
      trainGraph - the original graph.
      testGraph - a test graph to consider when sampling.
      prefData - the training preference data.
      Returns:
      a pair containing the name of the algorithm and the configured algorithm.
    • grid

      org.jooq.lambda.tuple.Tuple2<java.lang.String,​IndividualSamplerFunction<U>> grid​(Parameters params)
      Obtains a function for obtaining an individual sampling algorithm.
      Parameters:
      params - the sampling parameters.
      Returns:
      a pair containing the name of the algorithm and a function for obtaining the configured algorithm.