nodeclusterpair.java

mallet是自然语言处理、机器学习领域的一个开源项目。

/* Copyright (C) 2002 Dept. of Computer Science, Univ. of Massachusetts, Amherst

   This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
   http://www.cs.umass.edu/~mccallum/mallet

   This program toolkit free software; you can redistribute it and/or
   modify it under the terms of the GNU General Public License as
   published by the Free Software Foundation; either version 2 of the
   License, or (at your option) any later version.

   This program is distributed in the hope that it will be useful, but
   WITHOUT ANY WARRANTY; without even the implied warranty of
   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  For more
   details see the GNU General Public License and the file README-LEGAL.

   You should have received a copy of the GNU General Public License
   along with this program; if not, write to the Free Software
   Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA
   02111-1307, USA. */


/**
	 @author Aron Culotta
 */

package edu.umass.cs.mallet.projects.seg_plus_coref.condclust.types;
import edu.umass.cs.mallet.base.types.*;
import edu.umass.cs.mallet.base.pipe.*;
import edu.umass.cs.mallet.base.util.*;


/** A training instance consisting of a Node and a Cluster. The
 * features are intended to predict whether this Node belongs to this
 * Cluster (label = {"yes","no"}). */
public class NodeClusterPair {
	
	Object node;
	Object cluster;
	boolean label;
	
	PropertyList features = null;
	
	public NodeClusterPair (Object node, Object cluster) {
		this.node = node;
		this.cluster = cluster;
	}
	
	public NodeClusterPair (Object node, Object cluster, boolean label) {
		this(node, cluster);
		this.label = label;
	}
	
	public void setLabel (boolean label) {
		this.label = label;
	}
	
	public boolean getLabel () {
		return label;
	}
	
	public Object getNode () {
		return node;
	}
	
	public Object getCluster () {
		return cluster;
	}
	
	public void setFeatureValue (String key, double value)
	{
		if (features ==null) {
			features = PropertyList.add (key, value, features);
		} else {
			assert(!features.hasProperty(key));
			features = PropertyList.add (key, value, features);
		}
	}
	
	public double getFeatureValue(String key)
	{
		if (features != null)
	    return features.lookupNumber(key);
		else
	    return 0.0;
	}
	
	public PropertyList getFeatures () {
		return features;
	}	
}