libsvmmodel.java

来自「著名的开源仿真软件yale」· Java 代码 · 共 70 行

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/* *  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: yale@ls8.cs.uni-dortmund.de *  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)));	}    }}

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