meanvaluesubstitution.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: MeanValueSubstitution.java,v $
 * $Revision: 1.1 $
 * $Date: 2005/04/17 00:38:41 $
 *
 * NeuralNetworkToolkit
 * Copyright (C) 2004 Universidade de Bras锟絣ia
 *
 * This file is part of NeuralNetworkToolkit.
 *
 * NeuralNetworkToolkit 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.
 *
 * NeuralNetworkToolkit 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 NeuralNetworkToolkit; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA - 02111-1307 - USA.
 */

package neuralnetworktoolkit.preprocessor;

import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ResourceBundle;


import neuralnetworktoolkit.datamanager.textfilemanager.LoadFromFileException;

/**
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gon锟絘lves</a>
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 */
public class MeanValueSubstitution {
	
	private ResourceBundle resources;
	
	/** Stores attributes names. */
	private String[] dataHeader;
	
	/**
	 * 
	 * @param file
	 * @param separator
	 * 
	 * @throws LoadFromFileException
	 */
	public void substitute(File file, String separator, String missingSymbol) throws MeanValueSubstitutionException {
		String         readedDataHeader;
		String         dataLine;
		String 		   newLine = new String();
		String[]	   dataValues;
		double[] 	   means;
		long[]		   instancesNumber;
		File 		   outputFile;
		FileReader     inputReader;
		FileWriter 	   fileWriter;
		BufferedReader inputBuffer;
		BufferedWriter writeBuffer;
		int 		   size = 0;
		long 		   fileSize = 0;
		
		
		try {
			//resources = ResourceBundle.getBundle("neuralnetworktoolkit.preprocessor.resources.Messages");
			inputReader      = new FileReader(file);
			outputFile 		 = new File(file.getName() + "-meanS");
			fileWriter 		 = new FileWriter(outputFile);
			outputFile.createNewFile();
			writeBuffer 	 = new BufferedWriter(fileWriter);
			inputBuffer      = new BufferedReader(inputReader);
						
			readedDataHeader = inputBuffer.readLine();
				
			dataHeader = readedDataHeader.split(separator);
			size = dataHeader.length;
			means = new double[size];
			instancesNumber = new long[size];
			
			while(inputBuffer.ready()) {
				dataLine = inputBuffer.readLine();
				dataValues = dataLine.split(separator);
				
				for (int i = 0; i < size; i++) {
					
					if (!missingSymbol.equals(dataValues[i])) {
						instancesNumber[i]++;
						means[i] += Double.parseDouble(dataValues[i]);
					}
				}
			
				fileSize++;
			}
			
			for (int i = 0; i < size; i++) {
				means[i] = means[i]/instancesNumber[i]; 
			}
			
			System.out.println("Fiz a m閐ia");
			inputBuffer.close();
			inputReader 	 = new FileReader(file);
			inputBuffer      = new BufferedReader(inputReader);
			inputBuffer.readLine();
			
			writeBuffer.write(readedDataHeader);
			writeBuffer.newLine();
			
			while(inputBuffer.ready()) {
				newLine = "";
				dataLine = inputBuffer.readLine();
				dataValues = dataLine.split(separator);
				
				System.out.println(dataLine);
				
				if (missingSymbol.equals(dataValues[0])) {
					newLine += Double.toString(means[0]);
				} else {
					newLine += dataValues[0];
				}
				
				for (int i = 1; i < size; i++) {
					if (missingSymbol.equals(dataValues[i])) {
						newLine += separator + Double.toString(means[i]);
					} else {
						newLine += separator + dataValues[i];
					}
				}
				
				System.out.println(newLine + "--> " + newLine.length());
				writeBuffer.write(newLine);
				writeBuffer.newLine();
				
			}
				
			writeBuffer.close();
			
			

		} catch(FileNotFoundException e) {
			throw new MeanValueSubstitutionException(resources.getString("fileNotFound") 
											+ " "
											+ file.getName()
											+ ".\n");

		} catch(IOException e) {
			throw new MeanValueSubstitutionException(resources.getString("failToRead")
											+" "
											+ file.getName()
											+ ".\n");
			
		} catch(NumberFormatException e) {
			throw new MeanValueSubstitutionException("Fail to read file "
											+ file.getName()
											+ ".\nThis is not a valid file!\n");
			
		}

	} // substitute()
	
	public void substitute(String fileName, String separator, String missingSymbol) throws MeanValueSubstitutionException {
		substitute(new File(fileName), separator, missingSymbol);
		
	} //substitute()

} //MeanValueSubstitution