/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.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 com.rapidminer.gui.renderer.AbstractTableModelTableRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.features.transformation.AbstractEigenvectorModel;
import com.rapidminer.operator.features.transformation.ComponentVector;
import com.rapidminer.tools.Tools;
import java.util.List;
import javax.swing.table.AbstractTableModel;
import javax.swing.table.TableModel;
/**
* This is an renderer for {@link AbstractEigenvectorModel}s. It shows the EigenValues in a table
* view.
*
* @author Sebastian Land
*/
public class EigenvectorModelEigenvalueRenderer extends AbstractTableModelTableRenderer {
public static class EigenvalueTableModel extends AbstractTableModel {
private static final long serialVersionUID = -9026248524043239399L;
private double varianceSum;
private double[] cumulativeVariance;
private List<? extends ComponentVector> eigenVectors;
public EigenvalueTableModel(List<? extends ComponentVector> eigenVectors, double[] cumulativeVariance,
double varianceSum) {
this.eigenVectors = eigenVectors;
this.cumulativeVariance = cumulativeVariance;
this.varianceSum = varianceSum;
}
@Override
public int getColumnCount() {
return 4;
}
@Override
public int getRowCount() {
return eigenVectors.size();
}
@Override
public Object getValueAt(int rowIndex, int columnIndex) {
switch (columnIndex) {
case 0:
return "PC " + (rowIndex + 1);
case 1:
return Tools.formatNumber(Math.sqrt(eigenVectors.get(rowIndex).getEigenvalue()));
case 2:
return Tools.formatNumber(eigenVectors.get(rowIndex).getEigenvalue() / this.varianceSum);
case 3:
return Tools.formatNumber(cumulativeVariance[rowIndex]);
default:
return "unknown";
}
}
@Override
public String getColumnName(int column) {
switch (column) {
case 0:
return "Component";
case 1:
return "Standard Deviation";
case 2:
return "Proportion of Variance";
case 3:
return "Cumulative Variance";
default:
return "unknown";
}
}
}
@Override
public String getName() {
return "Eigenvalues";
}
@Override
public TableModel getTableModel(Object renderable, IOContainer ioContainer, boolean isReporting) {
AbstractEigenvectorModel model = (AbstractEigenvectorModel) renderable;
return model.getEigenvalueTableModel();
}
}