/* * 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.operator.features.transformation; import java.util.ArrayList; import java.util.HashMap; import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.Map.Entry; import com.rapidminer.example.Attribute; import com.rapidminer.example.AttributeRole; import com.rapidminer.example.Attributes; import com.rapidminer.example.Example; import com.rapidminer.example.ExampleSet; import com.rapidminer.example.table.AttributeFactory; import com.rapidminer.example.table.DataRow; import com.rapidminer.example.table.DoubleArrayDataRow; import com.rapidminer.example.table.MemoryExampleTable; import com.rapidminer.operator.AbstractModel; import com.rapidminer.operator.OperatorException; import com.rapidminer.tools.Ontology; /** * This class is completely unnecessary and is only kept for compatibility reasons. * The class hierarchy is complete nonsense and will be dropped with one of the next * versions. So if you implement using this class, please implement this little code fragment * below again or build a more fitting class hierarchy. * * The model for the generic dimensionality reducer. * * @author Ingo Mierswa */ @Deprecated public class DimensionalityReducerModel extends AbstractModel { private static final long serialVersionUID = 1036161585615738268L; private int dimensions; private double[][] p; protected DimensionalityReducerModel(ExampleSet exampleSet, double[][] p, int dimensions) { super(exampleSet); this.p = p; this.dimensions = dimensions; } @Override public ExampleSet apply(ExampleSet exampleSet) throws OperatorException { List<Attribute> attributes = new ArrayList<Attribute>(); for (int i = 0; i < dimensions; i++) { Attribute att = AttributeFactory.createAttribute("d" + i, Ontology.REAL); attributes.add(att); } Map<String, Attribute> newSpecialAttributes = new HashMap<String, Attribute>(); Map<String, Attribute> oldSpecialAttributes = new HashMap<String, Attribute>(); Iterator<AttributeRole> s = exampleSet.getAttributes().specialAttributes(); while (s.hasNext()) { AttributeRole role = s.next(); Attribute att = AttributeFactory.createAttribute(role.getAttribute()); newSpecialAttributes.put(role.getSpecialName(), att); oldSpecialAttributes.put(role.getSpecialName(), role.getAttribute()); attributes.add(att); } MemoryExampleTable table = new MemoryExampleTable(attributes); // Apply build the instances int i = 0; for (Example oldExample : exampleSet) { DataRow row = new DoubleArrayDataRow(new double[attributes.size()]); for (int j = 0; j < dimensions; j++) row.set(attributes.get(j), p[i][j]); for (String specialAttributeRole: newSpecialAttributes.keySet()) { Attribute attribute = newSpecialAttributes.get(specialAttributeRole); row.set(attribute, oldExample.getValue(oldSpecialAttributes.get(specialAttributeRole))); } table.addDataRow(row); i++; } ExampleSet resultSet = table.createExampleSet(); // set special roles Attributes newAttributes = resultSet.getAttributes(); for (Entry<String, Attribute> specialEntry: newSpecialAttributes.entrySet()) { newAttributes.setSpecialAttribute(specialEntry.getValue(), specialEntry.getKey()); } return resultSet; } @Override public String getName() { return "Dimensionality Reduction"; } @Override public String toString() { return "This model reduces the number of dimensions to " + dimensions + "."; } }