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///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below.       //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,       //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard        //
// Scheines, Joseph Ramsey, and Clark Glymour.                               //
//                                                                           //
// This program 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.                                       //
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// This program 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 this program; if not, write to the Free Software               //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
///////////////////////////////////////////////////////////////////////////////
package edu.cmu.tetradapp.editor;

import edu.cmu.tetrad.bayes.BayesIm;
import edu.cmu.tetrad.bayes.BayesPm;
import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.graph.Node;
import edu.cmu.tetradapp.workbench.GraphWorkbench;

import javax.swing.*;
import javax.swing.border.MatteBorder;
import javax.swing.table.TableCellEditor;
import java.awt.*;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

/**
 * Allows the user to choose a variable in a Bayes net and edit the parameters associated with that variable. Parameters
 * are of the form P(Node=value1|Parent1=value2, Parent2=value2,...); values for these parameters are probabilities
 * ranging from 0.0 to 1.0. For a given combination of parent values for node N, the probabilities for the values of N
 * conditional on that combination of parent values must sum to 1.0
 *
 * @author josephramsey
 * @author Frank Wimberly adapted for EM Bayes estimation.
 */
final class EMBayesEstimatorEditorWizard extends JPanel {

    private static final long serialVersionUID = -4844735953555314165L;

    private final BayesIm bayesIm;
    private final JComboBox varNamesComboBox;
    private final GraphWorkbench workbench;
    private final JPanel tablePanel;
    private BayesEstimatorNodeEditingTable editingTable;
    private boolean enableEditing = true;

    /**
     * 

Constructor for EMBayesEstimatorEditorWizard.

* * @param bayesIm a {@link edu.cmu.tetrad.bayes.BayesIm} object * @param workbench a {@link edu.cmu.tetradapp.workbench.GraphWorkbench} object */ public EMBayesEstimatorEditorWizard(BayesIm bayesIm, GraphWorkbench workbench) { if (bayesIm == null) { throw new NullPointerException(); } if (workbench == null) { throw new NullPointerException(); } workbench.setAllowDoubleClickActions(false); setBorder(new MatteBorder(10, 10, 10, 10, getBackground())); setFont(new Font("SanSerif", Font.BOLD, 12)); // Set up components. this.varNamesComboBox = createVarNamesComboBox(bayesIm.getBayesPm()); workbench.scrollWorkbenchToNode((Node) this.varNamesComboBox.getSelectedItem()); JButton nextButton = new JButton("Next"); nextButton.setMnemonic('N'); Node node = (Node) (this.varNamesComboBox.getSelectedItem()); this.editingTable = new BayesEstimatorNodeEditingTable(node, bayesIm); this.editingTable.addPropertyChangeListener((evt) -> { if ("editorValueChanged".equals(evt.getPropertyName())) { firePropertyChange("editorValueChanged", null, null); } }); JScrollPane scroll = new JScrollPane(this.editingTable); scroll.setPreferredSize(new Dimension(0, 150)); this.tablePanel = new JPanel(); this.tablePanel.setLayout(new BorderLayout()); this.tablePanel.add(scroll, BorderLayout.CENTER); this.editingTable.grabFocus(); // Do Layout. setLayout(new BorderLayout()); Box b1 = Box.createVerticalBox(); Box b2 = Box.createHorizontalBox(); b2.add(new JLabel("Probability table for values of ")); b2.add(this.varNamesComboBox); b2.add(new JLabel(" conditional on values of its")); b2.add(Box.createHorizontalGlue()); b1.add(b2); Box b3 = Box.createHorizontalBox(); b3.add(new JLabel("parents:")); b3.add(Box.createHorizontalGlue()); b1.add(b3); Box b4 = Box.createHorizontalBox(); b4.add(this.tablePanel, BorderLayout.CENTER); b1.add(b4); Box b5 = Box.createHorizontalBox(); b5.add(new JLabel("Asterisks in table indicate undefined values.")); b5.add(Box.createHorizontalGlue()); b1.add(b5); b1.add(Box.createVerticalStrut(15)); add(b1, BorderLayout.CENTER); // Add listeners. this.varNamesComboBox.addActionListener((e) -> { Node n = (Node) this.varNamesComboBox.getSelectedItem(); getWorkbench().scrollWorkbenchToNode(n); setCurrentNode(n); }); nextButton.addActionListener((e) -> { int current = this.varNamesComboBox.getSelectedIndex(); int max = this.varNamesComboBox.getItemCount(); ++current; if (current == max) { JOptionPane.showMessageDialog( this, "There are no more variables."); } int set = (current < max) ? current : 0; this.varNamesComboBox.setSelectedIndex(set); }); workbench.addPropertyChangeListener((evt) -> { if (evt.getPropertyName().equals("selectedNodes")) { List selection = (List) (evt.getNewValue()); if (selection.size() == 1) { this.varNamesComboBox.setSelectedItem(selection.get(0)); } } }); this.bayesIm = bayesIm; this.workbench = workbench; } private JComboBox createVarNamesComboBox(BayesPm bayesPm) { JComboBox varNameComboBox = new JComboBox<>(); varNameComboBox.setBackground(Color.white); Graph graph = bayesPm.getDag(); List nodes = new ArrayList<>(graph.getNodes()); Collections.sort(nodes); nodes.forEach(varNameComboBox::addItem); if (varNameComboBox.getItemCount() > 0) { varNameComboBox.setSelectedIndex(0); } return varNameComboBox; } /** * Sets the getModel display to reflect the stored values of the getModel node. */ private void setCurrentNode(Node node) { TableCellEditor cellEditor = this.editingTable.getCellEditor(); if (cellEditor != null) { cellEditor.cancelCellEditing(); } this.editingTable = new BayesEstimatorNodeEditingTable(node, getBayesIm()); this.editingTable.addPropertyChangeListener((evt) -> { if ("editorValueChanged".equals(evt.getPropertyName())) { firePropertyChange("editorValueChanged", null, null); } }); JScrollPane scroll = new JScrollPane(this.editingTable); scroll.setPreferredSize(new Dimension(0, 150)); this.tablePanel.removeAll(); this.tablePanel.add(scroll, BorderLayout.CENTER); this.tablePanel.revalidate(); this.tablePanel.repaint(); this.editingTable.grabFocus(); } private BayesIm getBayesIm() { return this.bayesIm; } private GraphWorkbench getWorkbench() { return this.workbench; } /** *

isEnableEditing.

* * @return a boolean */ public boolean isEnableEditing() { return this.enableEditing; } /** *

enableEditing.

* * @param enableEditing a boolean */ public void enableEditing(boolean enableEditing) { this.enableEditing = enableEditing; if (this.workbench != null) { this.workbench.setEnableEditing(enableEditing); } } }




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