/////////////////////////////////////////////////////////////////////////////// // Copyright (C) 2001 Jason Baldridge and Gann Bierner // // This library is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public // License as published by the Free Software Foundation; either // version 2.1 of the License, or (at your option) any later version. // // This library 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 Lesser 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 opennlp.maxent; /** * The context of a decision point during training. This includes * contextual predicates and an outcome. * * @author Jason Baldridge * @version $Revision: 1.5 $, $Date: 2007/03/21 19:02:43 $ */ public class Event extends gnu.trove.TLinkableAdaptor { private String outcome; private String[] context; private float[] values; public Event(String outcome, String[] context) { this(outcome,context,null); } public Event(String outcome, String[] context, float[] values) { this.outcome = outcome; this.context = context; this.values = values; } public String getOutcome() { return outcome; } public String[] getContext() { return context; } public float[] getValues() { return values; } public String toString() { StringBuffer sb = new StringBuffer(); sb.append(outcome).append(" ["); if (context.length > 0) { sb.append(context[0]); if (values != null) { sb.append("="+values[0]); } } for (int ci=1;ci<context.length;ci++) { sb.append(" ").append(context[ci]); if (values != null) { sb.append("="+values[ci]); } } sb.append("]"); return sb.toString(); } }