DistanceTwoIndividualSampler

java.lang.Object

es.uam.eps.ir.relison.links.data.letor.sampling.AbstractIndividualSampler<U>

es.uam.eps.ir.relison.links.data.letor.sampling.DistanceTwoIndividualSampler<U>

Type Parameters:: U - Type of the users.

All Implemented Interfaces:: IndividualSampler<U>

public class DistanceTwoIndividualSampler<U>
extends AbstractIndividualSampler<U>

Samples the complete set of users at distance two from the user

Field Summary

Fields
Modifier and Type	Field	Description
`private EdgeOrientation`	`uSel`	Edge orientation for the neighbors of the origin node.
`private EdgeOrientation`	`vSel`	Edge orientation for the neighbors of the destination nodes.

Fields inherited from class es.uam.eps.ir.relison.links.data.letor.sampling.AbstractIndividualSampler

graph

Constructor Summary

Constructors

Constructor Description

DistanceTwoIndividualSampler(Graph<U> graph, EdgeOrientation uSel, EdgeOrientation vSel)
Constructor.
Method Summary

Modifier and Type Method Description

java.util.Set<U> sampleUsers(U u, java.util.function.Predicate<U> filter)
Given a user, obtains the sample.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details
- uSel
  
  private final EdgeOrientation uSel
  
  Edge orientation for the neighbors of the origin node.
- vSel
  
  private final EdgeOrientation vSel
  
  Edge orientation for the neighbors of the destination nodes.
Constructor Details
- DistanceTwoIndividualSampler
  
  public DistanceTwoIndividualSampler(Graph<U> graph, EdgeOrientation uSel, EdgeOrientation vSel)
  
  Constructor.
  
  Parameters:
  
  graph - the graph.
  
  uSel - edge orientation for the neighbors of the origin node.
  
  vSel - edge orientation for the neighbors of the selected nodes.
Method Details
- sampleUsers
  
  public java.util.Set<U> sampleUsers(U u, java.util.function.Predicate<U> filter)
  
  Description copied from interface: IndividualSampler
  
  Given a user, obtains the sample.
  
  Parameters:
  
  u - the parameter.
  
  filter - a filter for the sample
  
  Returns:
  
  the set of sampled users, with their relevance / weight.