Observation.java

/*
 Copyright (C) 2010 by
 * 
 * 	Cam-Tu Nguyen	ncamtu@ecei.tohoku.ac.jp ncamtu@gmail.com
 *  Xuan-Hieu Phan  pxhieu@gmail.com 
 
 *  College of Technology, Vietnamese University, Hanoi
 * 
 * 	Graduate School of Information Sciences
 * 	Tohoku University
 *
 *  JVnTextPro-v.2.0 is a 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.
 *
 * JVnTextPro-v.2.0 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. See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with  JVnTextPro-v.2.0); if not, write to the Free Software Foundation,
 * Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.
 */

package jflexcrf;

import java.io.*;
import java.util.*;

// TODO: Auto-generated Javadoc
/**
 * The Class Observation.
 */
public class Observation {
    
    /** The original data. */
    public String originalData = "";	// original data (before generating context predicates)
    
    /** The cps. */
    public int[] cps = null;		// array of context predicates
    
    /** The model label. */
    public int modelLabel = -1;		// label predicted by model

    /**
     * Instantiates a new observation.
     */
    public Observation() {
	// do nothing currently
    }
    
    /**
     * To string.
     *
     * @param lbInt2Str the lb int2 str
     * @return the string
     */
    public String toString(Map lbInt2Str) {
	String res = originalData;
	
	String labelStr = (String)lbInt2Str.get(new Integer(modelLabel));
	if (labelStr != null) {
	    res += Option.outputSeparator + labelStr.toUpperCase();
	}
	
	return res;
    }
    
} // end of class Observation