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MALLET is a Java-based package for statistical natural language processing,
document classification, clustering, topic modeling, information extraction,
and other machine learning applications to text.
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/* 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 junit.framework.*;
import java.util.Iterator;
import java.util.Random;
import cc.mallet.grmm.inference.RandomGraphs;
import cc.mallet.grmm.inference.TRP;
import cc.mallet.grmm.types.Factor;
import cc.mallet.grmm.types.FactorGraph;
/**
* $Id: TestTRP.java,v 1.1 2007/10/22 21:37:40 mccallum Exp $
*/
public class TestTRP extends TestCase {
public TestTRP (String name)
{
super (name);
}
public void testEarlyStopping ()
{
FactorGraph grid = RandomGraphs.randomAttractiveGrid (5, 0.5, new Random (2413421));
TRP trp = new TRP (new TRP.IterationTerminator (1));
trp.setRandomSeed (14312341);
trp.computeMarginals (grid);
boolean oneIsDifferent = false;
// check no exceptions thrown when asking for all marginals,
// and check that at least one factors' belief has changed
// from the choice at zero iterations.
for (Iterator it = grid.factorsIterator (); it.hasNext();) {
Factor f = (Factor) it.next ();
Factor marg = trp.lookupMarginal (f.varSet ());// test no exception thrown
if (!marg.almostEquals (f.duplicate ().normalize ())) {
oneIsDifferent = true;
}
}
assertTrue (oneIsDifferent);
}
/**
* @return a TestSuite
*/
public static TestSuite suite ()
{
return new TestSuite (TestTRP.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 TestTRP (args[i]));
}
} else {
theSuite = suite ();
}
junit.textui.TestRunner.run (theSuite);
}
}