libsvmmodel.java

著名的开源仿真软件yale

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2002, 2003
 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, 
 *          Katharina Morik, Oliver Ritthoff
 *      Artificial Intelligence Unit
 *      Computer Science Department
 *      University of Dortmund
 *      44221 Dortmund,  Germany
 *  email: [e-mail]
 *  web:   http://yale.cs.uni-dortmund.de/
 *
 *  This program is 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. See the GNU
 *  General Public License for more details.
 *
 *  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.
 */
package edu.udo.cs.yale.operator.learner;

import edu.udo.cs.yale.example.ExampleSet;
import edu.udo.cs.yale.example.ExampleReader;
import edu.udo.cs.yale.example.Example;

import libsvm.svm_model;
import libsvm.svm;

import java.io.*;

/** A model generated by the <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm">libsvm</a> by Chih-Chung Chang and Chih-Jen Lin.
 *  @version $Id: LibSVMModel.java,v 2.3 2003/05/06 20:02:10 fischer Exp $
 */
public class LibSVMModel extends IOModel {

    private svm_model model;

    public LibSVMModel() {
	this(null);
    }

    public LibSVMModel(svm_model model) {
	this.model = model;
    }

    public void writeData(ObjectOutputStream out) throws IOException {
  	svm.svm_save_model(out, model);
    }

    public void readData(ObjectInputStream in) throws IOException {
  	model = svm.svm_load_model(new BufferedReader(new InputStreamReader(in)));
    }

    public void apply(ExampleSet exampleSet) {
	ExampleReader i = exampleSet.getExampleReader();
	while (i.hasNext()) {
	    Example e = i.next();
	    e.setPredictedLabel(svm.svm_predict(model, LibSVMLearner.makeNodes(e)));
	}
    }
}