opennlp.model.Context Maven / Gradle / Ivy
The newest version!
/*
* 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;
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy