/*
* 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 java.awt.Component;
import com.rapidminer.datatable.DataTable;
import com.rapidminer.datatable.SimpleDataTable;
import com.rapidminer.datatable.SimpleDataTableRow;
import com.rapidminer.gui.plotter.Plotter;
import com.rapidminer.gui.plotter.PlotterConfigurationModel;
import com.rapidminer.gui.renderer.AbstractRenderer;
import com.rapidminer.operator.IOContainer;
import com.rapidminer.operator.features.transformation.SVDModel;
import com.rapidminer.report.Reportable;
/**
* This is a plot renderer that will show the cumulative amount of
* eigenvalues in the given model.
*
* @author Sebastian Land
*/
public class SVDModelCumulativePlotRenderer extends AbstractRenderer {
@Override
public Reportable createReportable(Object renderable, IOContainer ioContainer, int desiredWidth, int desiredHeight) {
return getPlotter(renderable);
}
@Override
public String getName() {
return "Cumulative Variance Plot";
}
@Override
public Component getVisualizationComponent(Object renderable, IOContainer ioContainer) {
return getPlotter(renderable).getPlotter();
}
private Plotter getPlotter(Object renderable) {
SVDModel model = (SVDModel) renderable;
double[] cumulativeVariance = new double[model.getNumberOfComponents()];
for (int i = 0; i < cumulativeVariance.length; i++) {
cumulativeVariance[i] = model.getCumulativeSingularValue(i);
}
DataTable dataTable = new SimpleDataTable("Cumulative Proportion of Singular Values", new String[] { "Singular Value Vectors", "Cumulative Proportion of Singular Values" });
dataTable.add(new SimpleDataTableRow(new double[] { 0.0d, 0.0d }));
for (int i = 0; i < cumulativeVariance.length; i++) {
dataTable.add(new SimpleDataTableRow(new double[] { i + 1, cumulativeVariance[i] }));
}
PlotterConfigurationModel settings = new PlotterConfigurationModel(PlotterConfigurationModel.WEIGHT_PLOTTER_SELECTION, dataTable);
settings.setPlotter(PlotterConfigurationModel.LINES_PLOT);
Plotter plotter = settings.getPlotter();
settings.setAxis(0, 0);
settings.enablePlotColumn(1);
return plotter;
}
}