exampletesttools.java

一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2001-2004
 *      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.example.test;

import edu.udo.cs.yale.example.*;
import edu.udo.cs.yale.tools.Ontology;
import java.util.*;

/** Provides factory methods for text fixtures.
 *
 *  @version $Id: ExampleTestTools.java,v 1.9 2004/08/27 11:57:32 ingomierswa Exp $
 */
public class ExampleTestTools {

    /** Returns a DataRowReader returning the given values. */
    public static DataRowReader createDataRowReader(DataRowFactory factory, Attribute[] attributes, String[][] values) {
	List dataRows = new LinkedList();
	for (int i = 0; i < values.length; i++) {
	    dataRows.add(factory.create(values[i], attributes));
	}
	return new ListDataRowReader(dataRows.iterator());
    }


    /** Returns a DataRowReader returning the given values. */
    public static DataRowReader createDataRowReader(double[][] values) {
	List dataRows = new LinkedList();
	for (int i = 0; i < values.length; i++) {
	    dataRows.add(new DoubleArrayDataRow(values[i]));
	}
	return new ListDataRowReader(dataRows.iterator());
    }

    /** Returns a DataRowReader returning random values (generated with fixed random seed). */
    public static DataRowReader createDataRowReader(int size, Attribute[] attributes) {
	Random random = new Random(0);
	List dataRows = new LinkedList();
	for (int i = 0; i < size; i++) {
	    double[] data = new double[attributes.length];
	    for (int j = 0; j < data.length; j++) {
		if (attributes[j].isNominal()) {
		    data[j] = random.nextInt(attributes[j].getValues().size()) + Attribute.FIRST_CLASS_INDEX;
		} if (attributes[j].getValueType() == Ontology.INTEGER) {
		    data[j] = random.nextInt(200)-100;
		} else {
		    data[j] = 20.0*random.nextDouble()-10.0;
		}
	    }
	    dataRows.add(new DoubleArrayDataRow(data));
	}
	return new ListDataRowReader(dataRows.iterator());
    }

    public static MemoryExampleTable createMemoryExampleTable(int size) {
	Attribute[] attributes = createFourAttributes();
	return new MemoryExampleTable(Arrays.asList(attributes), 
				      createDataRowReader(size, attributes));
    }

    public static Attribute attributeDogCatMouse() {
	Attribute a = new Attribute("animal", Ontology.NOMINAL, Ontology.SINGLE_VALUE, 1, null);
	a.mapString("dog");
	a.mapString("cat");
	a.mapString("mouse");
	return a;
    }

    public static Attribute attributeYesNo() {
	Attribute a = new Attribute("decision", Ontology.NOMINAL, Ontology.SINGLE_VALUE, 1, null);
	a.mapString("yes");
	a.mapString("no");
	return a;
    }

    public static Attribute attributeInt() {
	Attribute a = new Attribute("integer", Ontology.INTEGER, Ontology.SINGLE_VALUE, 1, null);
	return a;
    }

    public static Attribute attributeReal() {
	Attribute a = new Attribute("real", Ontology.REAL, Ontology.SINGLE_VALUE, 1, null);
	return a;
    }

    public static Attribute attributeReal(int index) {
	Attribute a = new Attribute("real"+index, Ontology.REAL, Ontology.SINGLE_VALUE, 1, null);
	return a;
    }

    /** Cretaes four attributes: "animal" (dog/cat/mouse), "decision" (yes/no), "int", and "real". */
    public static Attribute[] createFourAttributes() {
	Attribute[] attributes = new Attribute[4];
	attributes = new Attribute[4];
	attributes[0] = ExampleTestTools.attributeDogCatMouse();
	attributes[1] = ExampleTestTools.attributeYesNo();
	attributes[2] = ExampleTestTools.attributeInt();
	attributes[3] = ExampleTestTools.attributeReal();
	for (int i = 0; i < attributes.length; i++)
	    attributes[i].setIndex(i);
	return attributes;
    }

    public static void createPredictedLabel(ExampleSet exampleSet) {
	Attribute predictedLabel = new Attribute(exampleSet.getLabel(), "prediction");
  	exampleSet.getExampleTable().addAttribute(predictedLabel);
  	exampleSet.setPredictedLabel(predictedLabel);
    }
}