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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 org.apache.opennlp.ml.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<context.length;ci++) {
sb.append(" ").append(context[ci]);
if (values != null) {
sb.append("=").append(values[ci]);
}
}
sb.append("]");
return sb.toString();
}
}