Util.java Source code

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/* 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.util;

/**
 * 
 * 
 * @author <a href="mailto:casutton@cs.umass.edu">Charles Sutton</a>
 * @version $Id: ArrayUtils.java,v 1.1 2007/10/22 21:37:40 mccallum Exp $
 */
public class Util {
    /**
     * Returns the Jensen-Shannon divergence.
     */
    public static double jensenShannonDivergence(double[] p1, double[] p2) {
        assert (p1.length == p2.length);
        double[] average = new double[p1.length];
        for (int i = 0; i < p1.length; ++i) {
            average[i] += (p1[i] + p2[i]) / 2;
        }
        return (klDivergence(p1, average) + klDivergence(p2, average)) / 2;
    }

    public static final double log2 = Math.log(2);

    /**
     * Returns the KL divergence, K(p1 || p2).
     *
     * The log is w.r.t. base 2. <p>
     *
     * *Note*: If any value in <tt>p2</tt> is <tt>0.0</tt> then the KL-divergence
     * is <tt>infinite</tt>. Limin changes it to zero instead of infinite. 
     * 
     */
    public static double klDivergence(double[] p1, double[] p2) {

        double klDiv = 0.0;

        for (int i = 0; i < p1.length; ++i) {
            if (p1[i] == 0) {
                continue;
            }
            if (p2[i] == 0.0) {
                continue;
            } // Limin

            klDiv += p1[i] * Math.log(p1[i] / p2[i]);
        }

        return klDiv / log2; // moved this division out of the loop -DM
    }
}