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 * 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
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 *     http://www.apache.org/licenses/LICENSE-2.0
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 * distributed under the License is distributed on an "AS IS" BASIS,
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package org.apache.lucene.search.similarities;


import org.apache.lucene.search.Explanation;
import static org.apache.lucene.search.similarities.SimilarityBase.log2;

The basic tf-idf model of randomness.
@lucene.experimental
/** * The basic tf-idf model of randomness. * @lucene.experimental */
public class BasicModelIn extends BasicModel {
Sole constructor: parameter-free
/** Sole constructor: parameter-free */
public BasicModelIn() {} @Override public final double score(BasicStats stats, double tfn, double aeTimes1pTfn) { long N = stats.getNumberOfDocuments(); long n = stats.getDocFreq(); double A = log2((N + 1) / (n + 0.5)); // basic model I(n) should return A * tfn // which we rewrite to A * (1 + tfn) - A // so that it can be combined with the after effect while still guaranteeing // that the result is non-decreasing with tfn return A * aeTimes1pTfn * (1 - 1 / (1 + tfn)); } @Override public final Explanation explain(BasicStats stats, double tfn, double aeTimes1pTfn) { return Explanation.match( (float) (score(stats, tfn, aeTimes1pTfn) * (1 + tfn) / aeTimes1pTfn), getClass().getSimpleName() + ", computed as tfn * log2((N + 1) / (n + 0.5)) from:", Explanation.match((float) tfn, "tfn, normalized term frequency"), Explanation.match(stats.getNumberOfDocuments(), "N, total number of documents with field"), Explanation.match(stats.getDocFreq(), "n, number of documents containing term")); } @Override public String toString() { return "I(n)"; } }