private void findBayesNetObserved() {
Dag dagObs = new Dag(graph);
for (Node node : nodes) {
if (node.getNodeType() == NodeType.LATENT) {
dagObs.removeNode(node);
}
}
bayesPmObs = new BayesPm(dagObs, bayesPm);
// System.out.println("bayesPm after deleting edges involving latents:");
// System.out.println(bayesPmObs);
// Graph g = bayesPmObs.getDag();
// System.out.println(g);
}
/**
* Generates a simple exemplar of this class to test serialization.
*
* @see TetradSerializableUtils
*/
public static TsFciRunner2 serializableInstance() {
return new TsFciRunner2(Dag.serializableInstance(), new Parameters());
}
/** Generates a simple exemplar of this class to test serialization. */
public static GeneralizedSemPm serializableInstance() {
Dag dag = new Dag();
GraphNode node1 = new GraphNode("X");
dag.addNode(node1);
return new GeneralizedSemPm(Dag.serializableInstance());
}
/**
* Generates a simple exemplar of this class to test serialization.
*
* @see edu.cmu.TestSerialization
* @see edu.cmu.tetradapp.util.TetradSerializableUtils
*/
public static TFciGesRunner serializableInstance() {
return new TFciGesRunner(Dag.serializableInstance(), FciGesSearchParams.serializableInstance());
}
/**
* Generates a simple exemplar of this class to test serialization.
*
* @see edu.cmu.TestSerialization
* @see TetradSerializableUtils
*/
public static VcpcAltRunner serializableInstance() {
return new VcpcAltRunner(Dag.serializableInstance(), PcSearchParams.serializableInstance());
}
/**
* Generates a simple exemplar of this class to test serialization.
*
* @see TetradSerializableUtils
*/
public static FciRunner serializableInstance() {
return new FciRunner(Dag.serializableInstance(), FciSearchParams.serializableInstance());
}
