///////////////////////////////////////////////////////////////////////////////
// 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();
}
}