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📄 graphicalmodel.java

📁 这是一个matlab的java实现。里面有许多内容。请大家慢慢捉摸。
💻 JAVA
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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 edu.umass.cs.mallet.grmm; // Generated package name/** * Interface implemented by all graphical models, including directed * and undirected.  This interface is currently rather sparse. * <P> * Because GRMM currently contains little support for directed models, *  most of the interesting methods are in {@link UndirectedModel}. *  Over time, methods from that class may be lifted into this *  interface as well. * <P> * Created: Wed Sep 17 11:52:15 2003 * * @author <a href="mailto:casutton@cs.umass.edu">Charles Sutton</a> * @version $Id: GraphicalModel.java,v 1.1 2004/07/15 17:53:31 casutton Exp $ */public interface GraphicalModel {	/**	 *  Returns the joint probability of the given assignment using the	 *   given inference algorithm.	 * <P>	 *  This may require one marginal computation for each variable in	 *   the assignement.  If the assignment uses all nodes in the	 *   network, some inferencers support a method called	 *   lookupJoint() which will be more efficient.	 */	public double query (Inferencer inferencer, Assignment assn);	/**	 *  Computes the marginal of all nodes using the given inferencer.	 */	public void computeMarginals (Inferencer inferencer);}// GraphicalModel

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