/*
* RapidMiner
*
* Copyright (C) 2001-2011 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.gui.renderer.models;
import javax.swing.table.AbstractTableModel;
import javax.swing.table.TableModel;
import com.rapidminer.gui.renderer.AbstractTableModelTableRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.learner.bayes.DistributionModel;
/**
* A Renderer for a DistributionModel.
*
* @author Tobias Malbrecht, Sebastian Land
*/
public class DistributionModelTableRenderer extends AbstractTableModelTableRenderer {
private static class DistributionTableModel extends AbstractTableModel {
private static final long serialVersionUID = 2196512073454635516L;
private DistributionModel model;
private int totalNumberOfParameters = 0;
private int[] rowDistributionIndices;
private int[] rowParameterIndices;
public DistributionTableModel(DistributionModel model) {
this.model = model;
for (int i = 0; i < model.getNumberOfAttributes(); i++) {
totalNumberOfParameters += model.getDistribution(0, i).getNumberOfParameters();
}
rowDistributionIndices = new int[totalNumberOfParameters];
rowParameterIndices = new int[totalNumberOfParameters];
int row = 0;
for (int i = 0; i < model.getNumberOfAttributes(); i++) {
for (int j = 0; j < model.getDistribution(0, i).getNumberOfParameters(); j++) {
rowDistributionIndices[row] = i;
rowParameterIndices[row] = j;
row++;
}
}
}
public int getColumnCount() {
return model.getNumberOfClasses() + 2;
}
public int getRowCount() {
return totalNumberOfParameters;
}
public Object getValueAt(int rowIndex, int columnIndex) {
switch (columnIndex) {
case 0:
return model.getAttributeNames()[rowDistributionIndices[rowIndex]];
case 1:
return model.getDistribution(0, rowDistributionIndices[rowIndex]).getParameterName(rowParameterIndices[rowIndex]);
default:
return model.getDistribution(columnIndex - 2, rowDistributionIndices[rowIndex]).getParameterValue(rowParameterIndices[rowIndex]);
}
}
@Override
public Class<?> getColumnClass(int columnIndex) {
if (columnIndex == 0)
return String.class;
if (columnIndex == 1)
return String.class;
return Double.class;
}
@Override
public String getColumnName(int columnIndex) {
if (columnIndex == 0)
return "Attribute";
if (columnIndex == 1)
return "Parameter";
return model.getClassName(columnIndex - 2);
}
}
@Override
public TableModel getTableModel(Object renderable, IOContainer ioContainer, boolean isReporting) {
DistributionModel distributionModel = (DistributionModel) renderable;
if (distributionModel != null) {
return new DistributionTableModel(distributionModel);
} else {
return null;
}
}
@Override
public String getName() {
return "Distribution Table";
}
@Override
public boolean isAutoresize() {
return false;
}
}