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* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-workbench
*
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
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package org.encog.workbench.tabs.mlmethod;
import java.awt.BorderLayout;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.awt.event.ItemEvent;
import java.awt.event.ItemListener;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import javax.swing.JButton;
import javax.swing.JComboBox;
import javax.swing.JScrollPane;
import javax.swing.JTable;
import javax.swing.JToolBar;
import org.encog.neural.flat.FlatNetwork;
import org.encog.neural.networks.BasicNetwork;
import org.encog.workbench.models.WeightsModel;
import org.encog.workbench.tabs.EncogCommonTab;
public class WeightsTab extends EncogCommonTab implements ActionListener, ItemListener {
private WeightsModel model;
private JToolBar toolbar;
private JTable table;
private JButton buttonSparse;
private JComboBox comboView;
private BasicNetwork network;
private MLMethodTab owner;
public WeightsTab(MLMethodTab theOwner, BasicNetwork theNetwork) {
super(null);
this.network = theNetwork;
this.network.updateProperties();
this.owner = theOwner;
this.model = new WeightsModel(this.owner,this.network);
FlatNetwork flat = theNetwork.getFlat();
Collection<String> layers = new ArrayList<String>();
int count = flat.getLayerCounts().length-2;
String last = "Input";
int hiddenNo = 1;
while(count>0) {
String current = "Hidden " + hiddenNo;
layers.add(last + " -> " + current);
last = current;
hiddenNo++;
count--;
}
layers.add(last + " -> Output");
setLayout(new BorderLayout());
this.toolbar = new JToolBar();
this.toolbar.setFloatable(false);
this.toolbar.add(this.buttonSparse = new JButton(""));
this.toolbar.add(this.comboView = new JComboBox(layers.toArray()));
add(this.toolbar, BorderLayout.PAGE_START);
this.table = new JTable(this.model);
add(new JScrollPane(this.table), BorderLayout.CENTER);
this.table.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
this.buttonSparse.addActionListener(this);
this.comboView.addItemListener(this);
actionPerformed(null);
}
public void actionPerformed(final ActionEvent action) {
if( action!=null && action.getSource()==this.buttonSparse) {
this.owner.setDirty(true);
if( this.network.getStructure().isConnectionLimited() ) {
this.network.getProperties().remove(BasicNetwork.TAG_LIMIT);
this.network.updateProperties();
} else {
this.network.setProperty(BasicNetwork.TAG_LIMIT, BasicNetwork.DEFAULT_CONNECTION_LIMIT);
this.network.updateProperties();
}
}
if( this.network.getStructure().isConnectionLimited() ) {
this.buttonSparse.setText("Disable Sparse Connections");
} else {
this.buttonSparse.setText("Enable Sparse Connections");
}
}
public boolean close() throws IOException {
boolean result = super.close();
return result;
}
public void dispose()
{
super.dispose();
}
@Override
public String getName() {
// TODO Auto-generated method stub
return "Weights";
}
@Override
public void itemStateChanged(ItemEvent evt) {
if(evt.getStateChange()==ItemEvent.SELECTED) {
this.model.setFromLayer(this.comboView.getSelectedIndex());
}
}
}