Package org.integratedmodelling.riskwiz.bn

Examples of org.integratedmodelling.riskwiz.bn.BeliefNetwork.vertexSet()

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        // System.out.println("r:"+ bnodeRain.getName() + ":\n" +
        // cpf2string(VE.queryMarginal(bnodeRain)));
        // System.out.println("r:"+ bnodeWetGrass.getName() + ":\n" +
        // cpf2string(VE.queryMarginal(bnodeWetGrass)));
   
        Set<BNNode> nodes1 = bn.vertexSet();

        for (BNNode node : nodes1) {
            System.out.println(
                    node.getName() + ":\n" + node.getMarginal().toString()
                    + "\n");
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            // deb.doAll();
     
            inference.initialize(network, new JoinTreeCompiler());
            inference.run();
      
            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
        
                System.out.println(
                        node.getName() + ":\n" + node.getMarginal().toString()
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            // deb.doAll();

            inference.initialize(network, new JoinTreeCompiler());
            inference.run();

            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
                System.out.println(
                        node.getName() + ":\n" + node.getMarginal().toString()
                        + "\n");
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            inference.initialize(bn, new JoinTreeCompiler());
            // inference.setObservation("Cloudy", "true");
            inference.run();
       
            for (BNNode n : bn.vertexSet()) {
                System.out.println(n.getName() + ": " + n.getMarginal());
            }
       
        } catch (Exception e) {
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            if (network == null) {
                System.out.println("Problems with loading the  network");
                return;
            }

            Set<BNNode> nodes = network.vertexSet();

            System.out.println("CPTs of original network\n");
     
            for (BNNode node : nodes) {
                System.out.println(
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            inference.initialize(network, new JoinTreeCompiler());
            inference.run();
            // now, show the probabilities again
            // nodes = network.vertexSet();
            System.out.println("CPTs after learning\n");
            nodes = network.vertexSet();
            for (BNNode node : nodes) {
                System.out.println(
                        node.getName() + ":\n" + node.getFunction().toString()
                        + "\n");
            }
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            if (network == null) {
                System.out.println("Problems with loading the  network");
                return;
            }

            Set<BNNode> nodes = network.vertexSet();

            System.out.println("CPTs of original network\n");
     
            for (BNNode node : nodes) {
                System.out.println(
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            inference.initialize(network, new JoinTreeCompiler());
            inference.run();
            // now, show the probabilities again
            // nodes = network.vertexSet();
            System.out.println("CPTs after learning\n");
            nodes = network.vertexSet();
            for (BNNode node : nodes) {
                System.out.println(
                        node.getName() + ":\n" + node.getFunction().toString()
                        + "\n");
            }
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            inference.initialize(network, new JoinTreeCompiler(), deb);
            inference.run();

            // output inference results

            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
                System.out.println(
                        node.getName() + ":\n" + node.getMarginal().toString()
                        + "\n");
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            System.out.println("Can't load network");
            e.printStackTrace();
        }
   
        System.out.println("CPTs Before IInference \n");
        Set<BNNode> nodes = network.vertexSet();

        for (BNNode node : nodes) {
            System.out.println(
                    node.getName() + ":\n" + node.getFunction().toString()
                    + "\n");
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