I cannot test your code at I do not have a database connection...
The error message indicates an error in a parameter to a HUGIN method. Domain.learnTables and Domain.learnStrcucture does not take any argument. Please test the input values to each HUGIN method invocation.
Here is a working example showing how to enter and learn (CPTs) from data:
/*
* This simple Java program illustrates how to learn (the parameters)
* of a Bayesian network from data
*
* The result is stored in a file name learning.net
*
*
* Author: Anders L Madsen @ HUGIN EXPERT A/S
*
* For any questions or comments, please contact the author at
* alm@hugin.com
*/
import COM.hugin.HAPI.*;
import java.text.DecimalFormat;
class EnterDataExample {
// the model
Domain dom = null;
// the nodes / variables in the model
LabelledDCNode Sex, Height;
public EnterDataExample ()
{
try {
// Create domain. Done once.
dom = new Domain ();
Sex = new LabelledDCNode(dom); Sex.setName ("Sex");
Height = new LabelledDCNode(dom); Height.setName ("Height");
Sex.setNumberOfStates (2);
Sex.setStateLabel (0, "Female");
Sex.setStateLabel (1, "Male");
Height.setNumberOfStates (2);
Height.setStateLabel (0, "Low");
Height.setStateLabel (1, "High");
// Add Sex as parent of Height. Comment this line if you
// uncomment "dom.learnStructure ();" below
Height.addParent (Sex);
// create Experience tables to enable CPT estimatio
Sex.getExperienceTable ();
Height.getExperienceTable ();
} catch (Exception e) {
e.printStackTrace ();
System.err.println (e.getMessage ());
}
}
// Data is an array of strings. First entry is Sex and second is
// Height;
String dataArray[][] =
{
{"Male", "High"},
{"Male", "High"},
{"Male", "High"},
{"Female", "High"},
{"Female", "Low"},
{"Male", "Low"},
{"Female", "Low"},
{"Male", "High"},
{"Male", ""},
{"Female", "Low"}
};
;
int N=10;
// Main procedure.
protected void doLearning () {
try{
// enter data
enterData ();
// (learn structure) compile and estimate parameters
// dom.learnStructure (); // uncomment this line (and the
// addParent line) above to learn structure from data
dom.compile ();
dom.learnTables ();
// save domain in file
dom.saveAsNet ("learning.net");
} catch (Exception e) {
e.printStackTrace ();
System.err.println (e.getMessage ());
}
}
//
protected void enterData () {
try{
long j, s;
for (int i = 0; i < N; i++) {
j = dom.newCase ();
s = Sex.getStateIndex (dataArray[i][0]);
if (s >= 0)
Sex.setCaseState (j, s);
s = Height.getStateIndex (dataArray[i][1]);
if (s >= 0)
Height.setCaseState (j, s);
}
//... more data
} catch (Exception e) {
e.printStackTrace ();
System.err.println (e.getMessage ());
}
}
static public void main (String args[])
{
EnterDataExample ede = new EnterDataExample ();
ede.doLearning ();
}
}