Examples of JunctionTree

cc.mallet.grmm.inference.JunctionTree
Datastructure for a junction tree. Created: Tue Sep 30 10:30:25 2003 @author Charles Sutton @version $Id: JunctionTree.java,v 1.1 2007/10/22 21:37:49 mccallum Exp $
org.drools.beliefs.bayes.JunctionTree

Examples of cc.mallet.grmm.inference.JunctionTree

   */
  public static double entropy (FactorGraph mdl)
  {
    JunctionTreeInferencer inf = new JunctionTreeInferencer ();
    inf.computeMarginals (mdl);
    JunctionTree jt = inf.lookupJunctionTree ();
    return jt.entropy ();
  }

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Examples of cc.mallet.grmm.inference.JunctionTree

   */
  public static double KL (FactorGraph mdl1, FactorGraph mdl2)
  {
    JunctionTreeInferencer inf1 = new JunctionTreeInferencer ();
    inf1.computeMarginals (mdl1);
    JunctionTree jt1 = inf1.lookupJunctionTree ();


    JunctionTreeInferencer inf2 = new JunctionTreeInferencer ();
    inf2.computeMarginals (mdl2);
    JunctionTree jt2 = inf2.lookupJunctionTree ();


    double entropy = jt1.entropy ();
    double energy = 0;


    for (Iterator it = jt2.clusterPotentials ().iterator(); it.hasNext();) {
      Factor marg2 = (Factor) it.next ();
      Factor marg1 = inf1.lookupMarginal (marg2.varSet ());
      for (AssignmentIterator assnIt = marg2.assignmentIterator (); assnIt.hasNext();) {
        energy += marg1.value (assnIt) * marg2.logValue (assnIt);
        assnIt.advance();
      }
    }
    for (Iterator it = jt2.sepsetPotentials ().iterator(); it.hasNext();) {
      Factor marg2 = (Factor) it.next ();
      Factor marg1 = inf1.lookupMarginal (marg2.varSet ());
      for (AssignmentIterator assnIt = marg2.assignmentIterator (); assnIt.hasNext();) {
        energy -= marg1.value (assnIt) * marg2.logValue (assnIt);
        assnIt.advance();

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Examples of org.drools.beliefs.bayes.JunctionTree




        InternalKnowledgePackage kpkg = (InternalKnowledgePackage) runtime.getKieBase().getKiePackage( cls.getPackage().getName() );
        Map<ResourceType, ResourceTypePackage> map = kpkg.getResourceTypePackages();
        BayesPackage bayesPkg  = (BayesPackage) map.get( ResourceType.BAYES );
        JunctionTree jtree =  bayesPkg.getJunctionTree(cls.getSimpleName());


        BayesInstance instance = new BayesInstance( jtree, cls );
//        instances.put( cls.getName() , instance );


        return instance;

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Examples of org.drools.beliefs.bayes.JunctionTree

        kbase.addKnowledgePackages( kbuilder.getKnowledgePackages() );


        InternalKnowledgePackage kpkg = (InternalKnowledgePackage) kbase.getKiePackage("org.drools.beliefs.bayes.integration");
        Map<ResourceType, ResourceTypePackage> map = kpkg.getResourceTypePackages();
        BayesPackage existing  = (BayesPackage) map.get( ResourceType.BAYES );
        JunctionTree jtree =  existing.getJunctionTree("Garden");
        assertNotNull( jtree );
    }

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Examples of org.drools.beliefs.bayes.JunctionTree

    }


    @Test
    public void testNoEvidence() {
        JunctionTreeBuilder jtBuilder = new JunctionTreeBuilder( graph );
        JunctionTree jTree = jtBuilder.build();


        JunctionTreeClique jtNode = jTree.getRoot();
        BayesInstance bayesInstance = new BayesInstance(jTree);
        bayesInstance.globalUpdate();


        assertArray(new double[]{0.5, 0.5}, scaleDouble(3, bayesInstance.marginalize("Cloudy").getDistribution()));

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Examples of org.drools.beliefs.bayes.JunctionTree

    }


    @Test
    public void testGrassWetEvidence() {
        JunctionTreeBuilder jtBuilder = new JunctionTreeBuilder( graph );
        JunctionTree jTree = jtBuilder.build();


        JunctionTreeClique jtNode = jTree.getRoot();
        BayesInstance bayesInstance = new BayesInstance(jTree);


        bayesInstance.setLikelyhood( "WetGrass", new double[]{1.0, 0.0} );


        bayesInstance.globalUpdate();

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Examples of org.drools.beliefs.bayes.JunctionTree

    }


    @Test
    public void testSprinklerEvidence() {
        JunctionTreeBuilder jtBuilder = new JunctionTreeBuilder( graph );
        JunctionTree jTree = jtBuilder.build();


        JunctionTreeClique jtNode = jTree.getRoot();
        BayesInstance bayesInstance = new BayesInstance(jTree);


        bayesInstance.setLikelyhood( "Sprinkler", new double[]{1.0, 0.0} );
        bayesInstance.setLikelyhood( "Cloudy", new double[]{1.0, 0.0} );

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