/*
 * 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
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package org.apache.lucene.search.similarities;


import org.apache.lucene.search.Explanation;

Model of the information gain based on the ratio of two Bernoulli processes.
@lucene.experimental
/** * Model of the information gain based on the ratio of two Bernoulli processes. * @lucene.experimental */
public class AfterEffectB extends AfterEffect {
Sole constructor: parameter-free
/** Sole constructor: parameter-free */
public AfterEffectB() {} @Override public final double scoreTimes1pTfn(BasicStats stats) { long F = stats.getTotalTermFreq()+1; long n = stats.getDocFreq()+1; return (F + 1.0) / n; } @Override public final Explanation explain(BasicStats stats, double tfn) { return Explanation.match( (float) (scoreTimes1pTfn(stats) / (1 + tfn)), getClass().getSimpleName() + ", computed as (F + 1) / (n * (tfn + 1)) from:", Explanation.match((float) tfn, "tfn, normalized term frequency"), Explanation.match(stats.getTotalTermFreq(), "F, total number of occurrences of term across all documents + 1"), Explanation.match(stats.getDocFreq(), "n, number of documents containing term + 1"), Explanation.match((float) tfn, "tfn, normalized term frequency")); } @Override public String toString() { return "B"; } }