/* * RapidMiner * * Copyright (C) 2001-2008 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.operator.features.aggregation; import java.awt.BorderLayout; import java.awt.Component; import java.util.List; import javax.swing.JFrame; import javax.swing.WindowConstants; import com.rapidminer.ObjectVisualizer; import com.rapidminer.datatable.SimpleDataTable; import com.rapidminer.datatable.SimpleDataTableRow; import com.rapidminer.example.Attribute; import com.rapidminer.example.ExampleSet; import com.rapidminer.generator.FeatureGenerator; import com.rapidminer.generator.GenerationException; import com.rapidminer.gui.plotter.ScatterPlotter; import com.rapidminer.gui.plotter.SimplePlotterDialog; import com.rapidminer.gui.tools.ExtendedJScrollPane; import com.rapidminer.operator.performance.PerformanceVector; import com.rapidminer.tools.Tools; /** * Plots the current generation's Pareto set. * * @author Ingo Mierswa * @version $Id: AggregationPopulationPlotter.java,v 1.4 2006/04/05 08:57:23 * ingomierswa Exp $; */ public class AggregationPopulationPlotter implements ObjectVisualizer { /** The original example set. */ private ExampleSet originalExampleSet; /** All original attributes. */ private Attribute[] allAttributes; /** The feature generator which should be used to create the individuals. */ private FeatureGenerator generator; /** The plotter. */ private SimplePlotterDialog plotter = null; /** The data table containing the individuals criteria data. */ private SimpleDataTable criteriaDataTable = null; /** The last population. */ private List<AggregationIndividual> lastPopulation; /** Creates plotter panel which is repainted every generation. */ public AggregationPopulationPlotter(ExampleSet originalExampleSet, Attribute[] allAttributes, FeatureGenerator generator) { this.originalExampleSet = originalExampleSet; this.allAttributes = allAttributes; this.generator = generator; } public void operate(List<AggregationIndividual> pop) { if (pop.size() == 0) return; // init data table if (criteriaDataTable == null) { this.criteriaDataTable = createDataTable(pop); } // fill data table int numberOfCriteria = fillDataTable(this.criteriaDataTable, pop); // create plotter if (plotter == null) { plotter = new SimplePlotterDialog(criteriaDataTable, false); if (numberOfCriteria == 1) { plotter.setXAxis(0); plotter.plotColumn(0, true); } else if (numberOfCriteria == 2) { plotter.setXAxis(0); plotter.plotColumn(1, true); } else if (numberOfCriteria > 2) { plotter.setXAxis(0); plotter.setYAxis(1); plotter.plotColumn(2, true); } plotter.setPointType(ScatterPlotter.POINTS); plotter.setVisible(true); plotter.addObjectVisualizer(this); } this.lastPopulation = pop; } public SimpleDataTable createDataTable(List<AggregationIndividual> pop) { PerformanceVector prototype = pop.get(0).getPerformance(); SimpleDataTable dataTable = new SimpleDataTable("Population", prototype.getCriteriaNames()); return dataTable; } public int fillDataTable(SimpleDataTable dataTable, List<AggregationIndividual> pop) { dataTable.clear(); int numberOfCriteria = 0; for (int i = 0; i < pop.size(); i++) { StringBuffer id = new StringBuffer(i + " ("); PerformanceVector current = pop.get(i).getPerformance(); numberOfCriteria = Math.max(numberOfCriteria, current.getSize()); double[] data = new double[current.getSize()]; for (int d = 0; d < data.length; d++) { data[d] = current.getCriterion(d).getFitness(); if (d != 0) id.append(", "); id.append(Tools.formatNumber(data[d])); } id.append(")"); dataTable.add(new SimpleDataTableRow(data, id.toString())); } return numberOfCriteria; } // ================================================================================ public boolean isCapableToVisualize(String id) { int index = Integer.parseInt(id.substring(0, id.indexOf("(")).trim()); return ((index >= 0) && (index < lastPopulation.size())); } public String getTitle(String id) { return id; } public void stopVisualization(String id) {} public void startVisualization(String id) { int index = Integer.parseInt(id.substring(0, id.indexOf("(")).trim()); AggregationIndividual individual = lastPopulation.get(index); ExampleSet es = null; try { es = individual.createExampleSet(originalExampleSet, allAttributes, generator); } catch (GenerationException e) { throw new RuntimeException("Cannot visualize individual '" + index + "': " + e.getMessage()); } Component visualizationComponent = es.getVisualizationComponent(null); JFrame frame = new JFrame(); frame.setDefaultCloseOperation(WindowConstants.DISPOSE_ON_CLOSE); frame.getContentPane().setLayout(new BorderLayout()); frame.getContentPane().add(new ExtendedJScrollPane(visualizationComponent), BorderLayout.CENTER); frame.setSize(600, 400); frame.setLocationRelativeTo(null); frame.setVisible(true); } }