/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ package opennlp.model; /** * The context of a decision point during training. This includes * contextual predicates and an outcome. */ public class Event { 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(); } }