public StructEmBayesSearchRunner(
DataWrapper dataWrapper, BayesPmWrapper bayesPmWrapper, StructEmBayesSearchParams params) {
if (dataWrapper == null) {
throw new NullPointerException();
}
if (bayesPmWrapper == null) {
throw new NullPointerException();
}
if (params == null) {
throw new NullPointerException();
}
DataSet dataSet = (DataSet) dataWrapper.getSelectedDataModel();
FactoredBayesStructuralEM estimator =
new FactoredBayesStructuralEM(dataSet, bayesPmWrapper.getBayesPm());
this.dataSet = estimator.getDataSet();
try {
this.estimatedBayesIm = estimator.maximization(params.getTolerance());
} catch (IllegalArgumentException e) {
throw new RuntimeException(e);
}
}
private void estimate(DataSet DataSet, BayesPm bayesPm) {
double thresh = 0.0001;
// for (Iterator i = graph.getNodes().iterator(); i.hasNext();) {
// Node node = (Node) i.next();
// if (node.getNodeType() == NodeType.LATENT) {
// throw new IllegalArgumentException("Estimation of Bayes IM's " +
// "with latents is not supported.");
// }
// }
try {
FactoredBayesStructuralEM estimator = new FactoredBayesStructuralEM(DataSet, bayesPm);
this.dataSet = estimator.getDataSet();
this.estimatedBayesIm = estimator.maximization(thresh);
} catch (ArrayIndexOutOfBoundsException e) {
e.printStackTrace();
throw new RuntimeException(
"Value assignments between Bayes PM " + "and discrete data set do not match.");
}
}