/*
* 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.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";
}
}