Bayesia Engine Java API for Modeling and Inference for Software Developers

Sample Code for Modeling

/* BE - Bayesia Engine - 2012 - Bayesia S.A.S
 * www.bayesia.com
 * This example is provided to show how to use the BE Modeling api. 
 * To use it, the BE.jar, xercesImpl.jar and xmlParserAPIs.jar must be in the classpath.
 */
import com.bayesia.api.*;
public class ExampleModeling {
    public static void main(String[] args) {
        if (args.length != 4) {
            System.err.println("You must provide the host and port of the BayesiaLicenseServer and a user name and password corresponding to an access to the license specified on the BayesiaLicenseServer!");
            System.exit(0);
        }
        APIModeling api = new APIModeling(args[0], Integer.parseInt(args[1]), args[2], args[3]);
        api.setComment("Simple network for lumb cancer diagnosis.");
        // Creates new nodes
        System.out.println("Creating nodes...");
        // Creates node Visit Asia
        api.addChanceLabelNode("Visit Asia", new String[] {"No", "Yes"});
        api.setNodeComment("Visit Asia", "Have you been in Asia recently?");
        // Creates node Tuberculosis
        api.addChanceLabelNode("Tuberculosis", new String[] {"No", "Yes"});
        api.setNodeComment("Tuberculosis", "Do you have tuberculosis?");
        // Creates node Age
        float[][] intervals = new float[3][2];
        intervals[0][0] = 0;
        intervals[0][1] = intervals[1][0] = 35;
        intervals[1][1] = intervals[2][0] = 60;
        intervals[2][1] = 99;
        api.addChanceIntervalNode("Age", new String[] {"<=35", "<=60", ">60"}, intervals);
        api.setNodeComment("Age", "How old are you?");
        // Long names are added to each state
        api.setStateLongNames("Age", new String[] {"Young", "Adult", "Elderly"});
        // Creates node Smoking
        api.addChanceLabelNode("Smoking", new String[] {"No", "Yes"});
        api.setNodeComment("Smoking", "Do you smoke?");
        // Creates node Bronchitis
        api.addChanceLabelNode("Bronchitis", new String[] {"No", "Yes"});
        api.setNodeComment("Bronchitis", "Do you have a bronchitis?");
        // Creates node Cancer
        api.addChanceLabelNode("Cancer", new String[] {"No", "Yes"});
        api.setNodeComment("Cancer", "Do you have a cancer?");
        // Creates node Dyspnea
        api.addChanceLabelNode("Dyspnea", new String[] {"No", "Yes"});
        api.setNodeComment("Dyspnea", "Do you have dyspnea?");
        // Creates node TbOrCa
        api.addChanceLabelNode("TbOrCa", new String[] {"False", "True"});
        api.setNodeComment("TbOrCa", "Do you have a cancer or tuberculosis?");
        // Creates node X-Ray
        api.addChanceLabelNode("X-Ray", new String[] {"Abnormal", "Normal"});
        api.setNodeComment("X-Ray", "How is your X-Ray?");
        // Adds relationships between nodes
        System.out.println("Creating arcs...");
        api.addArc("Visit Asia", "Tuberculosis");
        api.addArc("Age", "Cancer");
        api.addArc("Age", "Smoking");
        api.addArc("Smoking", "Cancer");
        api.addArc("Smoking", "Bronchitis");
        api.addArc("Bronchitis", "Dyspnea");
        api.addArc("Tuberculosis", "TbOrCa");
        api.addArc("Cancer", "TbOrCa");
        api.addArc("TbOrCa", "Dyspnea");
        api.addArc("TbOrCa", "X-Ray");
        // Creates the conditional probability tables
        System.out.println("Creating conditional probability tables...");
        double[] visitAsiaTable = new double[] {0.99, 0.01};
        api.setConditionalProbabilityTable("Visit Asia", visitAsiaTable);
        double[] ageTable = new double[] {0.35, 0.30, 0.35};
        api.setConditionalProbabilityTable("Age", ageTable);
        double[] tuberculosisTable = new double[] {0.99, 0.95, 0.01, 0.05};
        api.setConditionalProbabilityTable("Tuberculosis", tuberculosisTable);
        double[] smokingTable = new double[] {0.40, 0.50, 0.75, 0.60, 0.50, 0.25};
        api.setConditionalProbabilityTable("Smoking", smokingTable);
        double[] bronchitisTable = new double[] {0.70, 0.40, 0.30, 0.60};
        api.setConditionalProbabilityTable("Bronchitis", bronchitisTable);
        double[] cancerTable = new double[] {0.995, 0.99, 0.95, 0.985, 0.94, 0.85, 0.005, 0.01, 0.05, 0.015, 0.06, 0.15};
        api.setConditionalProbabilityTable("Cancer", cancerTable);
        double[] dyspneaTable = new double[] {0.90, 0.20, 0.30, 0.10, 0.10, 0.80, 0.70, 0.90};
        api.setConditionalProbabilityTable("Dyspnea", dyspneaTable);
        double[] xRayTable = new double[] {0.05, 0.98, 0.95, 0.02};
        api.setConditionalProbabilityTable("X-Ray", xRayTable);
        // Creates the conditional probability table of TbOrCa with a formula
        api.setFormula("TbOrCa", "?Tuberculosis? OR ?Cancer?", false, 1000, 0, false, 0, false);
        // Set no observation cost for TbOrCa
        api.setNodeCost("TbOrCa", null);
        // Display the nodes on a rectangular grid
        api.arrangeNodePositions();
        // Saves the network
        api.save("AsiaAge.xbl");
        System.out.println("Network saved as AsiaAge.xbl");
        api.close();
    }
}

Sample Code for Inference

/* BE - Bayesia Engine - 2012 - Bayesia S.A.S
 * www.bayesia.com
 * This example is provided to show how to use the BE Inference api. 
 * To use it, the BE.jar, xercesImpl.jar and xmlParserAPIs.jar must be in the classpath.
 */
import com.bayesia.api.*;
public class ExampleInference {
    public static void main(String[] args) {
        if (args.length != 4) {
            System.err.println("You must provide the host and port of the BayesiaLicenseServer and a user name and password corresponding to an access to the license specified on the BayesiaLicenseServer!");
            System.exit(0);
        }
        APIInference api = new APIInference("Asia.xbl", args[0], Integer.parseInt(args[1]), args[2], args[3], APIInference.EXACT_INFERENCE);
        // Displays the name of the network
        System.out.println("Network: " + api.getName());
        // Displays the node names
        String[] names = api.getNodeNames();
        System.out.println("Node names:");
        printArray(names);
        System.out.println();
        // Displays the probabilities of each node
        for (int i = 0; i < names.length; i++) {
            System.out.println("Probabilities of " + names[i] + ": ");
            printArray(api.getProbabilities(names[i]));
            System.out.println();
        }
        // Observes the node Smoking to Yes
        System.out.println("The node Smoking is observed to Yes.");
        SQL 
        ///Read data from ENI
        For Each Customer
            For each variable of the network
                api.observe("Variable", "Value");
            api.getProbabilities("TargetNode");

        System.out.println();
        // Tries to fix the probabilities of the node X-Ray to the given distribution whatever the other evidence is
        System.out.println("The distrtibution of probabilities of the node X-Ray is fixed to {0.05, 0.95}.");
        api.setObservedProbabilities("X-Ray", new double[] {0.05, 0.95});
        // Displays the probabilities of the node X-Ray
        System.out.println("Probabilities of X-Ray : ");
        printArray(api.getProbabilities("X-Ray"));
        System.out.println();
        // Displays the probabilities of the node Cancer
        System.out.println("Probabilities of Cancer : ");
        printArray(api.getProbabilities("Cancer"));
        System.out.println();
        // Tries to fix the mean of the node Age to the given mean whatever the other evidence is
        System.out.println("The mean of the node Age is fixed to 60.");
        api.setObservedMean("Age", 60);
        System.out.println();
        // Observes the node Smoking to No
        System.out.println("The node Smoking is observed to No.");
        api.observe("Smoking", "No");
        System.out.println();
        // Displays the probabilities of the node X-Ray
        System.out.println("The probabilities of X-Ray remain the same: ");
        printArray(api.getProbabilities("X-Ray"));
        System.out.println();
        // Displays the mean of the node Age
        System.out.println("The mean of Age remain the same: ");
        System.out.println(api.getMean("Age"));
        System.out.println();
        // Displays the probabilities of the node Cancer
        System.out.println("And the probabilities of Cancer change: ");
        printArray(api.getProbabilities("Cancer"));
        api.close();
    }
    private static void printArray(double[] a) {
        for (int i = 0, n = a.length; i < n; i++) {
            System.out.print(a[i] + " ");
        }
        System.out.println();
    }
    private static void printArray(String[] s) {
        for (int i = 0, n = s.length; i < n; i++) {
            System.out.print(s[i] + " ");
        }
        System.out.println();
    }
}

Last updated

Logo

Bayesia USA

info@bayesia.us

Bayesia S.A.S.

info@bayesia.com

Bayesia Singapore

info@bayesia.com.sg

Copyright ยฉ 2024 Bayesia S.A.S., Bayesia USA, LLC, and Bayesia Singapore Pte. Ltd. All Rights Reserved.