Package org.integratedmodelling.riskwiz.bn

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

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        }
        inference.run();
        // output inference results
        System.out.println("Marginals After IInference  \n");
     
        Set<BNNode> nodes1 = network.vertexSet();

        for (BNNode node : nodes1) {
            System.out.println(
                    node.getName() + ":\n" + node.getMarginal().toString()
                    + "\n");
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            inference.initialize(network, new JoinTreeCompiler(), deb);
        } catch (Exception e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        Set<BNNode> nodes = network.vertexSet();

        // creating new evidence
        BNNode node1 = network.getBeliefNode("Cloudy");

        inference.setObservation(node1, "false");
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                    "false");

            // normally this is better to use   for seting evidence, there is easy way with observations
            inference.setEvidence("Cloudy", de);
            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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            // find the optimum actions
            solver.Solve(); 
   
            // show polices
            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
                if (node.isDecision()) {
                    System.out.println(
                            node.getName() + ":\n"
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            inference.run();

            // output inference results

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

            for (BNNode node : nodes) {
                System.out.println(
                        node.getName() + ":\n"
                        + inference.getMarginal(node).toString() + "\n");
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            // find the optimum actions
            solver.Solve(); 
   
            // show polices
            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
                if (node.isDecision()) {
                    System.out.println(
                            node.getName() + ":\n"
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            inference.run();

            // output inference results

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

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