| /* |
| * 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; |
| |
| /** |
| * This class encapsulates the varibales used in producing probabilities from a model |
| * and facilitaes passing these variables to the eval method. |
| */ |
| public class EvalParameters { |
| |
| /** Mapping between outcomes and paramater values for each context. |
| * The integer representation of the context can be found using <code>pmap</code>.*/ |
| private Context[] params; |
| /** The number of outcomes being predicted. */ |
| private final int numOutcomes; |
| /** The maximum number of feattures fired in an event. Usually refered to a C. |
| * This is used to normalize the number of features which occur in an event. */ |
| private double correctionConstant; |
| |
| /** Stores inverse of the correction constant, 1/C. */ |
| private final double constantInverse; |
| /** The correction parameter of the model. */ |
| private double correctionParam; |
| |
| /** |
| * Creates a set of paramters which can be evaulated with the eval method. |
| * @param params The parameters of the model. |
| * @param correctionParam The correction paramter. |
| * @param correctionConstant The correction constant. |
| * @param numOutcomes The number of outcomes. |
| */ |
| public EvalParameters(Context[] params, double correctionParam, double correctionConstant, int numOutcomes) { |
| this.params = params; |
| this.correctionParam = correctionParam; |
| this.numOutcomes = numOutcomes; |
| this.correctionConstant = correctionConstant; |
| this.constantInverse = 1.0 / correctionConstant; |
| } |
| |
| public EvalParameters(Context[] params, int numOutcomes) { |
| this(params,0,0,numOutcomes); |
| } |
| |
| /* (non-Javadoc) |
| * @see opennlp.model.EvalParameters#getParams() |
| */ |
| public Context[] getParams() { |
| return params; |
| } |
| |
| /* (non-Javadoc) |
| * @see opennlp.model.EvalParameters#getNumOutcomes() |
| */ |
| public int getNumOutcomes() { |
| return numOutcomes; |
| } |
| |
| public double getCorrectionConstant() { |
| return correctionConstant; |
| } |
| |
| public double getConstantInverse() { |
| return constantInverse; |
| } |
| |
| public double getCorrectionParam() { |
| return correctionParam; |
| } |
| |
| public void setCorrectionParam(double correctionParam) { |
| this.correctionParam = correctionParam; |
| } |
| } |