Class RecommenderIndividualSamplerConfigurator<U>

java.lang.Object
es.uam.eps.ir.relison.grid.links.recommendation.sampling.RecommenderIndividualSamplerConfigurator<U>
Type Parameters:
U - Type of the users.
All Implemented Interfaces:
IndividualSamplingAlgorithmConfigurator<U>

public class RecommenderIndividualSamplerConfigurator<U>
extends java.lang.Object
implements IndividualSamplingAlgorithmConfigurator<U>
Class for configuring distance two individual samplers.
  • Field Summary

    Fields 
    Modifier and Type Field Description
    private AlgorithmGridSelector<U> gridSelector
    Grid selector for the algorithms.
    private static java.lang.String K
    Identifier for the cutoff of the recommendation.
    private static java.lang.String REC
    Identifier for the recommendation algorithm.
  • Constructor Summary

    Constructors 
    Constructor Description
    RecommenderIndividualSamplerConfigurator​(org.ranksys.formats.parsing.Parser<U> uParser)
    Constructor.
  • 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.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait