multilayerperceptronoperatorproperty.java

一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码

package eti.bi.alphaminer.patch.standard.operation.property;

import java.awt.BorderLayout;
import java.awt.GridLayout;
import java.awt.event.ActionEvent;
import javax.swing.BorderFactory;
import javax.swing.JButton;
import javax.swing.JComboBox;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JTextField;
import eti.bi.alphaminer.core.handler.ICaseHandler;
import eti.bi.alphaminer.operation.operator.INodeInfo;
import eti.bi.alphaminer.operation.property.OperatorProperty;
import eti.bi.alphaminer.patch.standard.operation.operator.MultilayerPerceptronOperator;
import eti.bi.common.Locale.Resource;
import eti.bi.exception.SysException;

public class MultilayerPerceptronOperatorProperty extends OperatorProperty{
	
	/* UI controls */
	private static final long serialVersionUID = -2104856718942630953L;
	
	private JButton m_ButtonReset = new JButton();
	private JButton m_ButtonSave = new JButton();
	private JButton m_ButtonCancel = new JButton();
	
	private JComboBox m_ListGui;
	
	private JLabel m_LabelAutobuild = new JLabel(Resource.srcStr("m_autobuild"));
	private JComboBox m_ListAutobuild;
	private JLabel m_LabelDecay = new JLabel(Resource.srcStr("m_decay"));
	private JComboBox m_ListDecay;
	private JLabel m_LabelHiddenLayers = new JLabel(Resource.srcStr("m_hiddenlayers"));
	private JComboBox m_ListHiddenLayers;
	
	
	private JLabel m_LableLearningRates = new JLabel(Resource.srcStr("m_learningRates"));
	private JTextField m_TextLearningRates = new JTextField(10);
	private JLabel m_Momentum = new JLabel(Resource.srcStr("m_momentum"));
	private JTextField m_TextMomentum = new JTextField(10);
	

	private JLabel m_LabelNominalToBinaryFilter = new JLabel(Resource.srcStr("m_nominalToBinaryFilter"));
	private JComboBox m_ListNominalToBinaryFilter;
	private JLabel m_LabelNormalizeAttributes = new JLabel(Resource.srcStr("m_normalizeAttributes"));
	private JComboBox m_ListNormalizeAttributes;
	private JLabel NormalizeNumericClass = new JLabel(Resource.srcStr("m_normalizeNumericClass"));
	private JComboBox m_ListNormalizeNumericClass;
	
	private JLabel m_RandomSeed = new JLabel(Resource.srcStr("m_randomSeed"));
	private JTextField m_TextRandomSeed = new JTextField(10);
	
	private JLabel m_LabelReset = new JLabel(Resource.srcStr("m_Reset"));
	private JComboBox m_ListReset;	
	
	private JLabel m_TrainingTime = new JLabel(Resource.srcStr("m_trainingTime"));
	private JTextField m_TextTrainingTime = new JTextField(10);
	private JLabel m_ValidationSetSize = new JLabel(Resource.srcStr("m_validationSetSize"));
	private JTextField m_TextValidationSetSize = new JTextField(10);
	private JLabel m_ValidationThreshold = new JLabel(Resource.srcStr("m_validationThreshold"));
	private JTextField m_TextValidationThreshold = new JTextField(10);
	
	
	/**
	 * Constructs an NavieBayesOperatorProject object.
	 * @param a_CaseID
	 *            ID of the Case containing the Operator Node to be set by this
	 *            DecisionTreeOperatorProperty.
	 * @param a_NodeID
	 *            ID of the Operator node to be set by this
	 *            DecisionTreeOperatorProperty.
	 * @throws SysException
	 */
	
	public MultilayerPerceptronOperatorProperty(String a_CaseID, String a_NodeID, String a_Name, INodeInfo a_NodeInfo, ICaseHandler a_CaseHandler) throws SysException {
		super(a_CaseID, a_NodeID, "MultilayerPerceptron [" + a_NodeID + "]", a_NodeInfo, a_CaseHandler);
		createNavieBayesOperatorProperty();
		this.setTitle(Resource.srcStr("MultilayerPerceptron")+" ["+a_NodeID+"]");
	}

	/**
	 * @see java.awt.event.ActionListener#actionPerformed(ActionEvent)
	 */
	public void actionPerformed(ActionEvent e) {

		if (e.getSource() == m_ButtonSave) {
			if (applyContent()) {
				m_ParameterChanged = true;
			}
		} else if (e.getSource() == m_ButtonReset) {
			getContent();
		} else if (e.getSource() == m_ButtonCancel)
			close();
	}
	private boolean applyContent() {
		if (validateProperty()) {
			return setContent();
		} else {
			return false;
		}
	}
	
	private void createNavieBayesOperatorProperty() {
		JPanel propertyPanel = new JPanel();
		JPanel buttonPanel = new JPanel();
		
		/*propertyPanel*/
		propertyPanel.setBorder(BorderFactory.createCompoundBorder(
				BorderFactory.createTitledBorder(Resource.srcStr("MultilayerPerceptron")),
				BorderFactory.createEmptyBorder(2,4,0,6)));
		
		// set list data
		m_ListGui= new JComboBox(new String[]{"true","false"});
		m_ListAutobuild = new JComboBox(new String[]{"true","false"});
		m_ListDecay = new JComboBox(new String[]{"true","false"});
		
		m_ListHiddenLayers = new JComboBox(new String[]{"a","i","o","t"});
		m_ListNominalToBinaryFilter = new JComboBox(new String[]{"true","false"});
		m_ListNormalizeAttributes = new JComboBox(new String[]{"true","false"});
		m_ListNormalizeNumericClass = new JComboBox(new String[]{"true","false"});
		
		m_ListReset = new JComboBox(new String[]{"true","false"});
		
				
		//create panel
		GridLayout gl = new GridLayout(1,2,0,5);
		
		JPanel AutobuildPanel = new JPanel(gl);
		AutobuildPanel.add(m_LabelAutobuild, BorderLayout.WEST);
		AutobuildPanel.add(m_ListAutobuild, BorderLayout.EAST);
		
		JPanel DecayPanel = new JPanel(gl);
		DecayPanel.add(m_LabelDecay, BorderLayout.WEST);
		DecayPanel.add(m_ListDecay, BorderLayout.EAST);
		
		JPanel HiddenLayersPanel = new JPanel(gl);
		HiddenLayersPanel.add(m_LabelHiddenLayers, BorderLayout.WEST);
		HiddenLayersPanel.add(m_ListHiddenLayers, BorderLayout.EAST);
		
		JPanel LearningRatesPanel = new JPanel(gl);
		LearningRatesPanel.add(m_LableLearningRates, BorderLayout.WEST);
		LearningRatesPanel.add(m_TextLearningRates, BorderLayout.EAST);
		
		JPanel MomentumPanel = new JPanel(gl);
		MomentumPanel.add(m_Momentum, BorderLayout.WEST);
		MomentumPanel.add(m_TextMomentum, BorderLayout.EAST);
		
		JPanel NominalToBinaryFilterPanel = new JPanel(gl);
		NominalToBinaryFilterPanel.add(m_LabelNominalToBinaryFilter, BorderLayout.WEST);
		NominalToBinaryFilterPanel.add(m_ListNominalToBinaryFilter, BorderLayout.EAST);
		
		JPanel NormalizeAttributesPanel = new JPanel(gl);
		NormalizeAttributesPanel.add(m_LabelNormalizeAttributes, BorderLayout.WEST);
		NormalizeAttributesPanel.add(m_ListNormalizeAttributes, BorderLayout.EAST);
		
		JPanel NormalizeNumericClassPanel = new JPanel(gl);
		NormalizeNumericClassPanel.add(NormalizeNumericClass, BorderLayout.WEST);
		NormalizeNumericClassPanel.add(m_ListNormalizeNumericClass, BorderLayout.EAST);
		
		JPanel RandomSeedPanel = new JPanel(gl);
		RandomSeedPanel.add(m_RandomSeed, BorderLayout.WEST);
		RandomSeedPanel.add(m_TextRandomSeed, BorderLayout.EAST);
		
		JPanel ResetPanel = new JPanel(gl);
		ResetPanel.add(m_LabelReset, BorderLayout.WEST);
		ResetPanel.add(m_ListReset, BorderLayout.EAST);
		
		JPanel TrainingTimePanel = new JPanel(gl);
		TrainingTimePanel.add(m_TrainingTime, BorderLayout.WEST);
		TrainingTimePanel.add(m_TextTrainingTime, BorderLayout.EAST);
		
		JPanel ValidationSetSizePanel = new JPanel(gl);
		ValidationSetSizePanel.add(m_ValidationSetSize, BorderLayout.WEST);
		ValidationSetSizePanel.add(m_TextValidationSetSize, BorderLayout.EAST);
		
		JPanel ValidationThresholdPanel = new JPanel(gl);
		ValidationThresholdPanel.add(m_ValidationThreshold, BorderLayout.WEST);
		ValidationThresholdPanel.add(m_TextValidationThreshold, BorderLayout.EAST);
		
		
		//add
		propertyPanel.setLayout(new GridLayout(13, 2, 0, 5));
		//propertyPanel.add(GuiPanel);
		propertyPanel.add(AutobuildPanel);
		propertyPanel.add(DecayPanel);
		propertyPanel.add(HiddenLayersPanel);
		propertyPanel.add(LearningRatesPanel);
		propertyPanel.add(MomentumPanel);
		propertyPanel.add(NominalToBinaryFilterPanel);
		propertyPanel.add(NormalizeAttributesPanel);
		propertyPanel.add(NormalizeNumericClassPanel);
		propertyPanel.add(RandomSeedPanel);
		propertyPanel.add(ResetPanel);
		propertyPanel.add(TrainingTimePanel);
		propertyPanel.add(ValidationSetSizePanel);
		propertyPanel.add(ValidationThresholdPanel);
		
		
		/*button panel*/
		m_ButtonReset.setText(Resource.srcStr("m_ButtonReset"));
		m_ButtonSave.setText(Resource.srcStr("m_ButtonApply"));
		m_ButtonCancel.setSelected(false);
		m_ButtonCancel.setText(Resource.srcStr("m_ButtonClose"));
		buttonPanel.add(m_ButtonSave);
		buttonPanel.add(m_ButtonReset);
		buttonPanel.add(m_ButtonCancel);
		
		m_ButtonReset.addActionListener(this);
		m_ButtonSave.addActionListener(this);
		m_ButtonCancel.addActionListener(this);
		
		this.getContentPane().add(propertyPanel, BorderLayout.CENTER);
		this.getContentPane().add(buttonPanel, BorderLayout.SOUTH);
		this.setSize(350, 540);
		
		initContent();
		getContent();
	}
	
	/**
	 * Set values input in this NavieBayesOperatorProperty to the Operator Node.
	 */
	public boolean setContent(){
		if(m_Node==null){
			return false;
		}
		
		if(m_ListGui.getSelectedIndex()==1)
		{
		}
		else if(m_ListGui.getSelectedIndex()==0)
		{
		}
		//m_Node.setParameterValue(MultilayerPerceptronOperator.GUI, mm_gui);
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.AUTOBUILD);
		String mm_autobuild=null;
		if(m_ListAutobuild.getSelectedIndex()==1)
		{
			mm_autobuild= " -A ";
		}
		else if(m_ListAutobuild.getSelectedIndex()==0)
		{
			mm_autobuild=" ";
		}
		m_Node.setParameterValue(MultilayerPerceptronOperator.AUTOBUILD, mm_autobuild);
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.DECAY);
		String mm_decay=null;
		if(m_ListDecay.getSelectedIndex()==1)
		{
			mm_decay=" -D ";
		}
		else if(m_ListDecay.getSelectedIndex()==0)
		{
			mm_decay=" ";
		}
		m_Node.setParameterValue(MultilayerPerceptronOperator.DECAY, mm_decay);
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.HIDDENLAYERS);
		
		
		m_Node.setParameterValue(MultilayerPerceptronOperator.HIDDENLAYERS,(String) m_ListHiddenLayers.getSelectedItem());
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.LEARNINGRATE);
		m_Node.setParameterValue(MultilayerPerceptronOperator.LEARNINGRATE, m_TextLearningRates.getText());
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.MOMENTUM);
		m_Node.setParameterValue(MultilayerPerceptronOperator.MOMENTUM, m_TextMomentum.getText());
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.NOMINALTOBINARYFILTER);
		String mm_nominaltobinaryfilter=null;
		if(m_ListNominalToBinaryFilter.getSelectedIndex()==1)
		{
			mm_nominaltobinaryfilter=" -B ";
		}
		else if(m_ListNominalToBinaryFilter.getSelectedIndex()==0)
		{
			mm_nominaltobinaryfilter=" ";
		}
		m_Node.setParameterValue(MultilayerPerceptronOperator.NOMINALTOBINARYFILTER, mm_nominaltobinaryfilter);
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.NORMALIZEATTRIBUTES);
		
		String mm_normalizeattributes=null;
		if(m_ListNormalizeAttributes.getSelectedIndex()==1)
		{
			mm_normalizeattributes=" -I ";
		}
		else if(m_ListNormalizeAttributes.getSelectedIndex()==0)
		{
			mm_normalizeattributes=" ";
		}
		
		m_Node.setParameterValue(MultilayerPerceptronOperator.NORMALIZEATTRIBUTES, mm_normalizeattributes);
		
		//m_Node.removeParameterValue(MultilayerPerceptronOperator.NORMALIZENUMERICCLASS);
		
		String mm_normalizenumericclass=null;
		if(m_ListNormalizeNumericClass.getSelectedIndex()==1)
		{
			mm_normalizenumericclass=" -C ";
		}
		else if(m_ListNormalizeNumericClass.getSelectedIndex()==0)
		{
			mm_normalizenumericclass=" ";