/** * 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 bots.mctsbot.ai.opponentmodels.weka.instances; import java.io.StringReader; import org.apache.log4j.Logger; import weka.core.Instance; import weka.core.Instances; import bots.mctsbot.ai.opponentmodels.weka.Propositionalizer; public abstract class InstancesBuilder { private static final Logger logger = Logger.getLogger(InstancesBuilder.class); public final static String nl = "\n"; public final int length; protected final Instances dataset; public InstancesBuilder(String name, String attributes, String targets) { String header = "@relation " + name + nl + attributes + targets + "@data" + nl; this.length = attributes.split(nl).length + targets.split(nl).length; try { this.dataset = new Instances(new StringReader(header)); } catch (Exception e) { logger.error(e); e.printStackTrace(); throw new IllegalStateException(e); } dataset.setClassIndex((length > 0 ? length - 1 : 0)); } public abstract Instance getUnclassifiedInstance(Propositionalizer prop, Object actorId); public void addClassifiedInstance(Propositionalizer prop, Object actorId, Object[] targets) { Instance instance = getClassifiedInstance(prop, actorId, targets); dataset.add(instance); } public Instance getClassifiedInstance(Propositionalizer prop, Object actorId, Object[] targets) { Instance instance = getUnclassifiedInstance(prop, actorId); for (int i = 0; i < targets.length; i++) { //dirty, blame weka if (targets[i] instanceof Number) { instance.setValue(length - targets.length + i, ((Number) targets[i]).doubleValue()); } else { instance.setValue(length - targets.length + i, (String) targets[i]); } } return instance; } @Override public String toString() { return dataset.toString(); } }