Package org.integratedmodelling.riskwiz.jtree

Examples of org.integratedmodelling.riskwiz.jtree.JTInference.run()

69
70
71
72
73
74
75
76
77
78
79
            // JTCompilerDebugger deb = new JTCompilerDebugger();
            // deb.doAll();
            // //   
            inference.initialize(network, new JoinTreeCompiler());
            inference.run();
    
            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
                System.out.println(
View Full Code Here
138
139
140
141
142
143
144
145
146
147
148
            inference.initialize(bn, new JoinTreeCompiler());
        } catch (Exception e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        inference.run();

        // System.out.println("Here are the marginal after inference with Belief
        // Elimination");
        // System.out.println("r:"+ bnodeCloudy.getName() + ":\n" +
        // cpf2string(VE.queryMarginal(bnodeCloudy)));
View Full Code Here
77
78
79
80
81
82
83
84
85
86
87
            // JTCompilerDebugger deb = new JTCompilerDebugger();
            // deb.doAll();
     
            inference.initialize(network, new JoinTreeCompiler());
            inference.run();
      
            Set<BNNode> nodes = network.vertexSet();

            for (BNNode node : nodes) {
        
View Full Code Here
34
35
36
37
38
39
40
41
42
43
44
            // JTCompilerDebugger deb = new JTCompilerDebugger();
            // deb.doAll();

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

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

            for (BNNode node : nodes) {
                System.out.println(
View Full Code Here
29
30
31
32
33
34
35
36
37
38
39
            JTInference inference = new JTInference();

            inference.initialize(bn, new JoinTreeCompiler());
            // inference.setObservation("Cloudy", "true");
            inference.run();
       
            for (BNNode n : bn.vertexSet()) {
                System.out.println(n.getName() + ": " + n.getMarginal());
            }
       
View Full Code Here
80
81
82
83
84
85
86
87
88
89
90
   
            // run inference
            JTInference inference = new JTInference();

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

            // output inference results
            System.out.println("Marginals of original network\n");
            for (BNNode node : nodes) {
                System.out.println(
View Full Code Here
124
125
126
127
128
129
130
131
132
133
134
            // finally, learn!
            learner.learnFromTable(graphData);
     
            inference = new JTInference();
            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) {
View Full Code Here
181
182
183
184
185
186
187
188
189
190
191
   
            // run inference
            JTInference inference = new JTInference();

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

            // output inference results
            System.out.println("Marginals of original network\n");
            for (BNNode node : nodes) {
                System.out.println(
View Full Code Here
226
227
228
229
230
231
232
233
234
235
236
            // finally, learn!
            learner.learnFromTable(graphData);
     
            inference = new JTInference();
            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) {
View Full Code Here
41
42
43
44
45
46
47
48
49
50
51
            JTCompilerDebugger deb = new JTCompilerDebugger();

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

            // output inference results

            Set<BNNode> nodes = network.vertexSet();
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.