statisticalresultspanel.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: StatisticalResultsPanel.java,v $
 * $Revision: 1.2 $
 * $Date: 2005/04/25 01:26:31 $
 *
 * 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.inference;

import java.awt.BorderLayout;
import java.awt.GridBagConstraints;
import java.awt.GridBagLayout;
import java.awt.Insets;
import java.util.ResourceBundle;

import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JTextField;
import javax.swing.border.TitledBorder;

import neuralnetworktoolkit.StatisticalResults;

/**
 * Training statistical results panel.
 * 
 * @version $Revision: 1.2 $ - $Date: 2005/04/25 01:26:31 $
 * 
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 */
public class StatisticalResultsPanel extends JPanel {
	
	private JLabel numberOfIterationsLabel;
	private JTextField numberOfIterationsField;
	private JPanel numberOfIterationsPanel;
	private JLabel numberOfEpochsLabel;
	private JTextField numberOfEpochsField;
	private JPanel numberOfEpochsPanel;
	private JLabel trainingTimeLabel;
	private JTextField trainingTimeField;
	private JPanel trainingTimePanel;
	private JLabel errorLabel;
	private JTextField errorField;
	private JPanel errorPanel;
	private JPanel resultsPanel;
	
	private Insets borderInsets;
	
	private ResourceBundle resource;
	
	public StatisticalResultsPanel(StatisticalResults results) {
		super();
		
		long iterations = 0;
		long epochs = 0;
		
		resource = ResourceBundle
		.getBundle("neuralnetworktoolkit.gui.inference.resources.StatisticalResultsPanelResource");
		
		borderInsets = new Insets(5, 5, 5, 5);
		
		numberOfIterationsLabel = new JLabel(resource.getString("numberOfIterations"));
		numberOfIterationsField = new JTextField();
		iterations = results.getNumberIterations();
		if(iterations > 0) {
			numberOfIterationsField.setText(Long.toString(iterations));
			
		} else {
			numberOfIterationsField.setText("");
			
		}
		numberOfIterationsField.setEditable(false);
		numberOfIterationsPanel = new JPanel();
		numberOfIterationsPanel.setLayout(new BorderLayout());
		numberOfIterationsPanel.add(numberOfIterationsLabel, BorderLayout.NORTH);
		numberOfIterationsPanel.add(numberOfIterationsField, BorderLayout.CENTER);
		
		numberOfEpochsLabel = new JLabel(resource.getString("numberOfEpochs"));
		numberOfEpochsField = new JTextField();
		epochs = results.getNumberOfEpochs();
		if(epochs > 0) {
			numberOfEpochsField.setText(Long.toString(epochs));
			
		} else {
			numberOfEpochsField.setText("");
			
		}
		numberOfEpochsField.setEditable(false);
		numberOfEpochsPanel = new JPanel();
		numberOfEpochsPanel.setLayout(new BorderLayout());
		numberOfEpochsPanel.add(numberOfEpochsLabel, BorderLayout.NORTH);
		numberOfEpochsPanel.add(numberOfEpochsField, BorderLayout.CENTER);
		
		trainingTimeLabel = new JLabel(resource.getString("trainingTime"));
		trainingTimeField = new JTextField();
		trainingTimeField.setText(Double.toString(results.getTrainingTime()));
		trainingTimeField.setEditable(false);
		trainingTimePanel = new JPanel();
		trainingTimePanel.setLayout(new BorderLayout());
		trainingTimePanel.add(trainingTimeLabel, BorderLayout.NORTH);
		trainingTimePanel.add(trainingTimeField, BorderLayout.CENTER);
		
		errorLabel = new JLabel(resource.getString("error"));
		errorField = new JTextField();
		errorField.setText(Double.toString(results.getError()));
		errorField.setEditable(false);
		errorPanel = new JPanel();
		errorPanel.setLayout(new BorderLayout());
		errorPanel.add(errorLabel, BorderLayout.NORTH);
		errorPanel.add(errorField, BorderLayout.CENTER);
		
		resultsPanel = new JPanel();
		resultsPanel.setLayout(new GridBagLayout());
		resultsPanel.add(numberOfIterationsPanel,
				new GridBagConstraints(0, 0, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		resultsPanel.add(numberOfEpochsPanel,
				new GridBagConstraints(0, 1, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		resultsPanel.add(trainingTimePanel,
				new GridBagConstraints(0, 2, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		resultsPanel.add(errorPanel,
				new GridBagConstraints(0, 3, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		
		resultsPanel.setBorder(new TitledBorder(""));
		
		this.setLayout(new GridBagLayout());
		
		this.add(resultsPanel,
				new GridBagConstraints(0, 1, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		
	} //StatisticalResultsPanel()

} //StatisticalResultsPanel