/* Copyright (C) 2006 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.test;
import cc.mallet.grmm.inference.GibbsSampler;
import cc.mallet.grmm.types.Factor;
import cc.mallet.grmm.types.FactorGraph;
import cc.mallet.grmm.types.TableFactor;
import cc.mallet.grmm.types.Variable;
import cc.mallet.util.Randoms;
import junit.framework.*;
/**
* $Id: TestGibbsSampler.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
*/
public class TestGibbsSampler extends TestCase {
public TestGibbsSampler (String name)
{
super (name);
}
// Tests finding a feasible initial assignment in a sparse model
public void testInitialAssignment ()
{
Variable[] vars = new Variable[] { new Variable (3), new Variable (3), new Variable (3) };
Variable[] vars1 = new Variable[]{ vars[0], vars[1] };
double[] vals1 = new double[] { 0, 0.2, 0.8, 0, 0.7, 0.3, 0, 0.5, 0.5 };
Factor tbl1 = new TableFactor (vars1, vals1);
Variable[] vars2 = new Variable[]{ vars[1], vars[2] };
double[] vals2 = new double[] { 0.2, 0.2, 0.8, 0.7, 0, 0.7, 0.3, 0, 0.5 };
Factor tbl2 = new TableFactor (vars2, vals2);
FactorGraph fg = new FactorGraph ();
fg.multiplyBy (tbl1);
fg.multiplyBy (tbl2);
System.out.println (fg.dumpToString ());
GibbsSampler gs = new GibbsSampler (new Randoms (324123), 10);
gs.sample (fg, 10); // assert no exception
}
/**
* @return a <code>TestSuite</code>
*/
public static TestSuite suite ()
{
return new TestSuite (TestGibbsSampler.class);
}
public static void main (String[] args)
{
TestSuite theSuite;
if (args.length > 0) {
theSuite = new TestSuite ();
for (int i = 0; i < args.length; i++) {
theSuite.addTest (new TestGibbsSampler (args[i]));
}
} else {
theSuite = (TestSuite) suite ();
}
junit.textui.TestRunner.run (theSuite);
}
}