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/*
 * 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() {
      StringBuilder sb = new StringBuilder();
      sb.append(outcome).append(" [");
      if (context.length > 0) {
        sb.append(context[0]);
        if (values != null) {
          sb.append("=").append(values[0]);
        }
      }
      for (int ci=1;ci




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