Package org.drools.beliefs.graph

Examples of org.drools.beliefs.graph.GraphNode

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        // this is a straight forward projection
        BayesVariable a = new BayesVariable<String>( "A", 0, new String[] {"A1", "A2"}, null);
        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"}, null);

        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);

        x0.setContent( a );
        x1.setContent( b );


        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0011") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0011")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0011"), graph).createState();
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        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"},  new double[][] {{0.1, 0.2}});
        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"},  new double[][] {{0.1, 0.2}});


        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);

        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );

        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0111") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0011")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0011"), graph).createState();
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        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"},  new double[][] {{0.1, 0.2}});
        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"},  new double[][] {{0.1, 0.2}});


        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);
        GraphNode x3 = addNode(graph);


        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );
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        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"},  new double[][] {{0.1, 0.2}});
        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"},  new double[][] {{0.1, 0.2}});


        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);
        GraphNode x3 = addNode(graph);


        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );
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        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"},  new double[][] {{0.1, 0.2}});
        BayesVariable d = new BayesVariable<String>( "D", 3, new String[] {"D1", "D2"},  new double[][] {{0.1, 0.2}, {0.3, 0.4}});


        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);
        GraphNode x3 = addNode(graph);

        //connectParentToChildren(x0, x2);
        connectParentToChildren(x2, x3);

        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );
        x3.setContent( d );


        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0011") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("1100")  );
        new JunctionTreeSeparator(0, node1, node2, new OpenBitSet(), graph);
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        // this is a straight forward projection
        BayesVariable a = new BayesVariable<String>( "A", 0, new String[] {"A1", "A2"}, null);
        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"}, null);

        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);

        x0.setContent( a );
        x1.setContent( b );


        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0011") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0011")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0011"), graph).createState();
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        BayesVariable a = new BayesVariable<String>( "A", 0, new String[] {"A1", "A2"}, null);
        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"}, null);
        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"}, null);

        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);

        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );


        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0111") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0011")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0011"), graph).createState();
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        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"},  null);
        BayesVariable c = new BayesVariable<String>( "C", 2, new String[] {"C1", "C2"},  null);


        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);


        x0.setContent( a );
        x1.setContent( b );
        x2.setContent( c );

        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0111") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0101")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0101"), graph).createState();
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    @Test
    public void testMoralize1() {
        Graph<BayesVariable> graph = new BayesNetwork();

        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);
        GraphNode x3 = addNode(graph);
        GraphNode x4 = addNode(graph);

        connectParentToChildren(x2, x1);
        connectParentToChildren(x3, x1);
        connectParentToChildren(x4, x1);
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    @Test
    public void testMoralize2() {
        Graph<BayesVariable> graph = new BayesNetwork();

        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);
        GraphNode x2 = addNode(graph);
        GraphNode x3 = addNode(graph);
        GraphNode x4 = addNode(graph);
        GraphNode x5 = addNode(graph);
        GraphNode x6 = addNode(graph);

        connectParentToChildren(x1, x2, x3);
        connectParentToChildren(x2, x4);
        connectParentToChildren(x4, x5);
        connectParentToChildren(x3, x5);
        connectParentToChildren(x6, x5);

        JunctionTreeBuilder jtBuilder = new JunctionTreeBuilder( graph );
        jtBuilder.moralize();

        assertLinkedNode(jtBuilder, new int[]{x1.getId(), 2, 3});

        assertLinkedNode(jtBuilder, new int[]{x2.getId(), 1, 4});

        assertLinkedNode(jtBuilder, new int[]{x3.getId(), 1, 4, 5, 6});

        assertLinkedNode(jtBuilder, new int[]{x4.getId(), 2, 3, 5, 6});

        assertLinkedNode(jtBuilder, new int[]{x5.getId(), 3, 4, 6});

        assertLinkedNode(jtBuilder, new int[]{x6.getId(), 3, 4, 5});

    }
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Related Classes of org.drools.beliefs.graph.GraphNode

  • org.drools.beliefs.bayes.BayesAbsorbtionTest
  • org.drools.beliefs.bayes.BayesInstance
  • org.drools.beliefs.bayes.BayesProjectionTest
  • org.drools.beliefs.bayes.JunctionTreeBuilder
  • org.drools.beliefs.bayes.JunctionTreeBuilderTest
  • org.drools.beliefs.bayes.JunctionTreeTest
  • org.drools.beliefs.bayes.MarginalizerTest
  • org.drools.beliefs.bayes.PassMessageTest
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