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

Class RerankerGridSelector<U>

java.lang.Object
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.RerankerGridSelector<U>
Type Parameters:
U - Type of the users
public class RerankerGridSelector<U>
extends java.lang.Object
Class that translates from a grid to the different contact recommendation algorithns.

  • Constructor Summary

    Constructors 
    Constructor Description
    RerankerGridSelector()  

  • Method Summary

    Modifier and Type Method Description
    org.jooq.lambda.tuple.Tuple2<java.lang.String,​GlobalRerankerFunction<U>> getReranker​(java.lang.String reranker, Parameters params)
    Given some initial data, obtains a single reranking algorithm.
    org.jooq.lambda.tuple.Tuple2<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getReranker​(java.lang.String reranker, Parameters params, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
    Given some initial data, obtains a single reranking algorithm.
    RerankerGridSearch<U> getRerankerGridSearch​(java.lang.String reranker)
    Obtains the different variants of the available algorithms using the different parameters in the grid.
    java.util.Map<java.lang.String,​GlobalRerankerFunction<U>> getRerankers​(java.lang.String reranker, Configurations configs)
    Given some initial data, obtains the reranking algorithms.
    java.util.Map<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getRerankers​(java.lang.String reranker, Configurations configs, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
    Given some initial data, obtains the reranking algorithms.
    java.util.Map<java.lang.String,​GlobalRerankerFunction<U>> getRerankers​(java.lang.String reranker, Grid grid)
    Given some initial data, obtains the reranking algorithms.
    java.util.Map<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getRerankers​(java.lang.String reranker, Grid grid, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
    Given some initial data, obtains the reranking algorithms.

    Methods inherited from class java.lang.Object

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

  • Constructor Details

  • Method Details

    • getRerankers

      public java.util.Map<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getRerankers​(java.lang.String reranker, Grid grid, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
      Given some initial data, obtains the reranking algorithms.
      Parameters:
      reranker - the name of the reranking approach.
      grid - the parameter grid of the algorithm.
      cutoff - the size of the definitive ranking.
      norm - suppliers for the normalization scheme.
      graph - the training graph.
      comms - the community partition for the training graph.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getReranker

      public org.jooq.lambda.tuple.Tuple2<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getReranker​(java.lang.String reranker, Parameters params, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
      Given some initial data, obtains a single reranking algorithm.
      Parameters:
      reranker - the name of the reranking approach.
      params - the parameters of the algorithm.
      cutoff - the size of the definitive ranking.
      norm - suppliers for the normalization scheme.
      graph - the training graph.
      comms - the community partition for the training graph.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getRerankers

      public java.util.Map<java.lang.String,​java.util.function.Supplier<GlobalReranker<U,​U>>> getRerankers​(java.lang.String reranker, Configurations configs, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
      Given some initial data, obtains the reranking algorithms.
      Parameters:
      reranker - the name of the reranking approach.
      configs - the different configurations for the algorithm.
      cutoff - the size of the definitive ranking.
      norm - suppliers for the normalization scheme.
      graph - the training graph.
      comms - the community partition for the training graph.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getRerankers

      public java.util.Map<java.lang.String,​GlobalRerankerFunction<U>> getRerankers​(java.lang.String reranker, Grid grid)
      Given some initial data, obtains the reranking algorithms.
      Parameters:
      reranker - the name of the reranking approach.
      grid - the parameter grid of the algorithm.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getReranker

      public org.jooq.lambda.tuple.Tuple2<java.lang.String,​GlobalRerankerFunction<U>> getReranker​(java.lang.String reranker, Parameters params)
      Given some initial data, obtains a single reranking algorithm.
      Parameters:
      reranker - the name of the reranking approach.
      params - the parameters of the algorithm.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getRerankers

      public java.util.Map<java.lang.String,​GlobalRerankerFunction<U>> getRerankers​(java.lang.String reranker, Configurations configs)
      Given some initial data, obtains the reranking algorithms.
      Parameters:
      reranker - the name of the reranking approach.
      configs - the different configurations for the algorithm.
      Returns:
      the suppliers for the different reranker variants, indexed by name.

    • getRerankerGridSearch

      public RerankerGridSearch<U> getRerankerGridSearch​(java.lang.String reranker)
      Obtains the different variants of the available algorithms using the different parameters in the grid.
      Parameters:
      reranker - the name of the reranker.
      Returns:
      the grid search for configuring the reranker.