/* * 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; /** * Class which associates a real valued parameter or expected value with a particular contextual * predicate or feature. This is used to store maxent model parameters as well as model and empirical * expected values. */ public class Context { /** The real valued parameters or expected values for this context. */ protected double[] parameters; /** The outcomes which occur with this context. */ protected int[] outcomes; /** * Creates a new parameters object with the specified parameters associated with the specified * outcome pattern. * @param outcomePattern Array of outcomes for which parameters exists for this context. * @param parameters Parameters for the outcomes specified. */ public Context(int[] outcomePattern, double[] parameters) { this.outcomes = outcomePattern; this.parameters = parameters; } /** * Returns the outcomes for which parameters exists for this context. * @return Array of outcomes for which parameters exists for this context. */ public int[] getOutcomes() { return outcomes; } /** * Returns the parameters or expected values for the outcomes which occur with this context. * @return Array of parameters for the outcomes of this context. */ public double[] getParameters() { return parameters; } }