Java tutorial
/* * RelData.java * * Copyright (C) 2009 Aalborg University * * contact: * jaeger@cs.aau.dk http://www.cs.aau.dk/~jaeger/Primula.html * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation; either version 2 * 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */ package RBNLearning; import java.io.BufferedWriter; import java.io.File; import java.io.FileWriter; import java.io.IOException; import java.util.*; import org.dom4j.Document; import org.dom4j.DocumentHelper; import org.dom4j.Element; import org.dom4j.io.OutputFormat; import org.dom4j.io.XMLWriter; import RBNio.FileIO; import RBNpackage.*; import RBNutilities.rbnutilities; /** RelData consists of pairs of input structures and * (vectors of) OneStrucData representing observations of * the probabilistic relations, i.e. objects of class * RelDataForOneInput. In principle it would be possible to * have in a RelData object RelDataForOneInput objects with * varying sets of predefined and probabilistic relations. * However, in actual usage, RelData objects will only * contain RelDataForOneInput objects with the same signatures * (predefined and probabilistic relations). * * * * @author jaeger * */ public class RelData { Vector<RelDataForOneInput> cases; public RelData() { cases = new Vector<RelDataForOneInput>(); } public void add(RelDataForOneInput rdc) { cases.add(rdc); } public int size() { return cases.size(); } public RelDataForOneInput elementAt(int i) { return cases.elementAt(i); } public void saveToRDEF(String filename) { try { FileWriter filwrt = new FileWriter(filename); saveToRDEF(filwrt); } catch (Exception e) { e.printStackTrace(); } } public void saveToRDEF(File f) { try { FileWriter filwrt = new FileWriter(f); saveToRDEF(filwrt); } catch (Exception e) { e.printStackTrace(); } } public void saveToRDEF(FileWriter fwriter) { try { XMLWriter writer = new XMLWriter(fwriter, new OutputFormat(" ", true)); Document doc = this.toDocument(); writer.write(doc); writer.close(); } catch (Exception e) { System.err.println(e); } } public RelDataForOneInput caseAt(int i) { return cases.elementAt(i); } private Document toDocument() { Document result = DocumentHelper.createDocument(); Element root = result.addElement("root"); /* Add relation declarations */ Element reldecs = root.addElement("Relations"); RelDataForOneInput firstcase = cases.elementAt(0); /* Adding declarations for the predefined relations */ Vector<Rel> predefinedrels = firstcase.inputDomain().getRels(); for (int i = 0; i < predefinedrels.size(); i++) predefinedrels.elementAt(i).addRelHeader(reldecs, "false", "predefined"); /* Adding declarations for the probabilistic relations * -- only if this RelData object does not represent * an input domain only, in which case observedAtoms().size()==0 */ if (firstcase.observedAtoms().size() > 0) { OneStrucData firstobservedats = firstcase.observedAtoms().elementAt(0); for (int i = 0; i < firstobservedats.size(); i++) firstobservedats.relAt(i).addRelHeader(reldecs, firstobservedats.dvAt(i), "probabilistic"); } /* Now iterating over the cases */ Element datael = root.addElement("Data"); for (int i = 0; i < cases.size(); i++) { Element inputdomel = datael.addElement("DataForInputDomain"); cases.elementAt(i).addToElement(inputdomel); } return result; } /** Saves first RelDataForOneInput into FOIL format*/ public void saveToFOIL(File filename) { cases.elementAt(0).saveToFOIL(filename); } }