imaincontroller.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: IMainController.java,v $
 * $Revision: 1.6 $
 * $Date: 2005/04/26 02:02:24 $
 *
 * NeuralNetworkToolkit
 * Copyright (C) 2004 Universidade de Brasília
 *
 * 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.gui.controller;

import java.io.File;
import java.io.IOException;
import java.util.Vector;

import neuralnetworktoolkit.NetworkControllerException;
import neuralnetworktoolkit.StatisticalResults;
import neuralnetworktoolkit.architectures.ArchitectureParameters;
import neuralnetworktoolkit.datamanager.textfilemanager.LoadFromFileException;
import neuralnetworktoolkit.methods.TrainingParameters;
import neuralnetworktoolkit.modelstorage.ModelSerializerException;
import neuralnetworktoolkit.normalization.NormalizationParameters;

/**
 * 
 */
public interface IMainController {

	/**
	 * 
	 * @param file
	 * @param separator
	 * @throws LoadFromFileException
	 */
	public void loadDataFromFile(File file, String separator)
		throws LoadFromFileException;
	
	/**
	 * 
	 * @param file
	 * @param separator
	 * @throws LoadFromFileException
	 */
	public void loadInferenceDataFromFile(File file, String separator)
			throws LoadFromFileException;

	/**
	 * 
	 * @param arffFile
	 */
	public void loadDataFromArff(File arffFile);

	/**
	 * 
	 *
	 */
	public void loadDataFromDatabase();
	
	/**
	 * 
	 * @return
	 */
	public Vector getDisplayData();

	/**
	 * 
	 * @return
	 */
	public Vector getDataHeader();
	
	/**
	 * 
	 * @return
	 */
	public Vector getInferenceData();
	
	/**
	 * 
	 * @return
	 */
	public Vector getInferenceDataHeader();

	/**
	 * 
	 * @return
	 */
	public Vector getInferedDataHeader();
	
	/**
	 * 
	 * @param outputIndex
	 * @param parameters
	 * @param trainingParameters
	 * @param normalizationParameters
	 * @throws NetworkControllerException
	 */
	public void createNetwork(int[] outputIndex,
			ArchitectureParameters parameters,
			TrainingParameters trainingParameters,
			NormalizationParameters normalizationParameters)
			throws NetworkControllerException;

	/**
	 * 
	 * @param fileName
	 * @throws ModelSerializerException
	 */
	public void saveNetwork(String fileName) throws ModelSerializerException;

	/**
	 * 
	 */
	public void infereWithNetwork() throws NetworkControllerException;
	
	/**
	 * 
	 * @param inferenceData
	 * @throws NetworkControllerException
	 */
	public void infereWithNetwork(Vector inferenceData)
			throws NetworkControllerException;

	/**
	 * @return
	 */
	public Vector getInferedData();
	
	/**
	 * 
	 * @param file
	 */
	public void saveInferedData(File file) throws IOException;

	/**
	 * @return
	 */
	public StatisticalResults getStatiscalResults();

	/**
	 * @param selectedFile
	 */
	public void loadNetwork(File selectedFile) throws ModelSerializerException,
			NetworkControllerException;

	/**
	 * @return
	 */
	public int getInputSize();

} //IMainController