Пример #1
0
  public void testMdlToGraph() {
    List models = TestInference.createTestModels();
    for (Iterator mdlIt = models.iterator(); mdlIt.hasNext(); ) {
      UndirectedModel mdl = (UndirectedModel) mdlIt.next();
      UndirectedGraph g = Graphs.mdlToGraph(mdl);
      Set vertices = g.vertexSet();

      // check the number of vertices
      assertEquals(mdl.numVariables(), vertices.size());

      // check the number of edges
      int numEdgePtls = 0;
      for (Iterator factorIt = mdl.factors().iterator(); factorIt.hasNext(); ) {
        Factor factor = (Factor) factorIt.next();
        if (factor.varSet().size() == 2) numEdgePtls++;
      }
      assertEquals(numEdgePtls, g.edgeSet().size());

      // check that the neighbors of each vertex contain at least some of what they're supposed to
      Iterator it = vertices.iterator();
      while (it.hasNext()) {
        Variable var = (Variable) it.next();
        assertTrue(vertices.contains(var));
        Set neighborsInG = new HashSet(GraphHelper.neighborListOf(g, var));
        neighborsInG.add(var);

        Iterator factorIt = mdl.allFactorsContaining(var).iterator();
        while (factorIt.hasNext()) {
          Factor factor = (Factor) factorIt.next();
          assertTrue(neighborsInG.containsAll(factor.varSet()));
        }
      }
    }
  }
  /**
   * Constructs a junction tree from a given factor graph. Does not perform BP in the resulting
   * graph. So this gives you the structure of a jnuction tree, but the factors don't correspond to
   * the true marginals unless you call BP yourself.
   *
   * @param mdl Factor graph to compute JT for.
   */
  public JunctionTree buildJunctionTree(FactorGraph mdl) {
    jtCurrent = (JunctionTree) mdl.getInferenceCache(JunctionTreeInferencer.class);
    if (jtCurrent != null) {
      jtCurrent.clearCPFs();
    } else {
      /* The graph g is the topology of the MRF that corresponds to the factor graph mdl.
       * Essentially, this means that we triangulate factor graphs by converting to an MRF first.
       * I could have chosen to trianglualte the FactorGraph directly, but I didn't for historical reasons
       *  (I already had a version of triangulate() for MRFs, not bipartite factor graphs.)
       * Note that the call to mdlToGraph() is perfectly valid for FactorGraphs that are also DirectedModels,
       *  and has the effect of moralizing in that case.  */
      UndirectedGraph g = Graphs.mdlToGraph(mdl);
      triangulate(g);
      jtCurrent = buildJtStructure();
      mdl.setInferenceCache(JunctionTreeInferencer.class, jtCurrent);
    }

    initJtCpts(mdl, jtCurrent);
    return jtCurrent;
  }
Пример #3
0
 // xxx Insanely inefficient stub
 public boolean isConnected(Variable v1, Variable v2) {
   UndirectedGraph g = Graphs.mdlToGraph(this);
   ConnectivityInspector ins = new ConnectivityInspector(g);
   return g.containsVertex(v1) && g.containsVertex(v2) && ins.pathExists(v1, v2);
 }