/* Copyright (C) 2003 Univ. of Massachusetts Amherst, Computer Science Dept.
This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
http://www.cs.umass.edu/~mccallum/mallet
This software is provided under the terms of the Common Public License,
version 1.0, as published by http://www.opensource.org. For further
information, see the file `LICENSE' included with this distribution. */
package cc.mallet.grmm.inference;
import cc.mallet.grmm.types.*;
import cc.mallet.grmm.util.Models;
/**
* Abstract base class for inferencers. This simply throws
* an UnsupportedOperationException for all methods, which
* is useful for subclasses that want to implement only
* specific inference functionality.
*
* Created: Mon Oct 6 17:01:21 2003
*
* @author <a href="mailto:casutton@cs.umass.edu">Charles Sutton</a>
* @version $Id: AbstractInferencer.java,v 1.1 2007/10/22 21:37:49 mccallum Exp $
*/
abstract public class AbstractInferencer implements Inferencer, Cloneable {
public abstract void computeMarginals (FactorGraph fg);
public double lookupJoint (Assignment assn)
{
return Math.exp (lookupLogJoint (assn));
}
public double lookupLogJoint (Assignment assn)
{
throw new UnsupportedOperationException
(this.getClass().getName()+" doesn't compute joint probabilities.");
}
public Factor lookupMarginal (VarSet c)
{
switch (c.size()) {
case 1:
return lookupMarginal (c.get (0));
default:
throw new UnsupportedOperationException
(this.getClass().getName()+" doesn't compute marginals of arbitrary cliques.");
}
}
// TODO: Make destructive...
public double query (FactorGraph mdl, Assignment assn)
{
// Computes joint of assignment using chain rule
double marginal = 1.0;
for (int i = 0; i < assn.size(); i++) {
Variable var = assn.getVariable (i);
computeMarginals (mdl);
Factor ptl = lookupMarginal (var);
marginal *= ptl.value (assn);
mdl = Models.addEvidence (mdl, new Assignment (var, assn.get (var)));
}
return marginal;
}
abstract public Factor lookupMarginal(Variable variable);
public Inferencer duplicate () {
try {
return (Inferencer) clone();
} catch (CloneNotSupportedException e) {
throw new RuntimeException (e);
}
}
public void dump ()
{
throw new UnsupportedOperationException ();
}
public void reportTime ()
{
System.err.println ("AbstractInferencer: reportTime(): No report available.");
}
// Serialization garbage
private static final long serialVersionUID = 1;
} // AbstractInferencer