/* 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.types.*;
import cc.mallet.types.MatrixOps;
import cc.mallet.util.Randoms;
import junit.framework.*;
import gnu.trove.TDoubleArrayList;
import no.uib.cipr.matrix.Vector;
import no.uib.cipr.matrix.DenseVector;
import no.uib.cipr.matrix.Matrix;
import no.uib.cipr.matrix.DenseMatrix;
/**
* $Id: TestNormalFactor.java,v 1.1 2007/10/22 21:37:41 mccallum Exp $
*/
public class TestNormalFactor extends TestCase {
public TestNormalFactor (String name)
{
super (name);
}
public void testSample ()
{
Variable v1 = new Variable (Variable.CONTINUOUS);
Variable v2 = new Variable (Variable.CONTINUOUS);
Randoms r = new Randoms (2343);
Vector mu = new DenseVector (new double[] { 1.0, 2.0 });
Matrix var = new DenseMatrix (new double[][] {{ 0.5, 2.0 }, { 0, 1 }});
// Matrix var = new DenseMatrix (new double[][] {{ 0.5, 2.0 }, { 2.0, 0.75 }});
VarSet vars = new HashVarSet (new Variable[] { v1, v2 });
Factor f = new NormalFactor (vars, mu, var);
TDoubleArrayList v1lst = new TDoubleArrayList ();
TDoubleArrayList v2lst = new TDoubleArrayList ();
for (int i = 0; i < 100000; i++) {
Assignment assn = f.sample (r);
v1lst.add (assn.getDouble (v1));
v2lst.add (assn.getDouble (v2));
}
checkMeanStd (v1lst, 1.0, Math.sqrt (1/0.5));
checkMeanStd (v2lst, 2.0, Math.sqrt (1/0.75));
}
void checkMeanStd (TDoubleArrayList ell, double mu, double sigma)
{
double[] vals = ell.toNativeArray ();
double mean1 = MatrixOps.mean (vals);
double std1 = MatrixOps.stddev (vals);
assertEquals (mu, mean1, 0.025);
assertEquals (sigma, std1, 0.01);
}
/**
* @return a <code>TestSuite</code>
*/
public static TestSuite suite ()
{
return new TestSuite (TestNormalFactor.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 TestNormalFactor (args[i]));
}
} else {
theSuite = (TestSuite) suite ();
}
junit.textui.TestRunner.run (theSuite);
}
}