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

Interface RecommendationMetricFunction<U,​F>

Type Parameters:
U - type of the users.
Functional Interface:
This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
@FunctionalInterface
public interface RecommendationMetricFunction<U,​F>
Functions for retrieving a configured recommendation metric.

  • Method Summary

    Modifier and Type Method Description
    es.uam.eps.ir.ranksys.metrics.SystemMetric<U,​U> apply​(Graph<U> trainGraph, Graph<U> testGraph, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> trainData, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> testData, es.uam.eps.ir.ranksys.core.feature.FeatureData<U,​F,​java.lang.Double> featData, Communities<U> comms)
    Given a graph, and the preference data, obtains a trained algorithm.

  • Method Details

    • apply

      es.uam.eps.ir.ranksys.metrics.SystemMetric<U,​U> apply​(Graph<U> trainGraph, Graph<U> testGraph, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> trainData, es.uam.eps.ir.ranksys.core.preference.PreferenceData<U,​U> testData, es.uam.eps.ir.ranksys.core.feature.FeatureData<U,​F,​java.lang.Double> featData, Communities<U> comms)
      Given a graph, and the preference data, obtains a trained algorithm.
      Parameters:
      trainGraph - the training network.
      testGraph - the test network.
      trainData - the training preference data.
      testData - the test preference data.
      featData - the feature data.
      comms - the communities for the users in the network.
      Returns:
      a recommendation metric to apply.