mirror of https://github.com/apache/lucene.git
LUCENE-7466 - added axiomatic similarity, patch from Peilin Yang
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.lucene.search.similarities;
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import java.util.List;
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import org.apache.lucene.search.Explanation;
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/**
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* Axiomatic approaches for IR. From Hui Fang and Chengxiang Zhai
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* 2005. An Exploration of Axiomatic Approaches to Information Retrieval.
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* In Proceedings of the 28th annual international ACM SIGIR
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* conference on Research and development in information retrieval
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* (SIGIR '05). ACM, New York, NY, USA, 480-487.
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* <p>
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* There are a family of models. All of them are based on BM25,
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* Pivoted Document Length Normalization and Language model with
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* Dirichlet prior. Some components (e.g. Term Frequency,
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* Inverted Document Frequency) in the original models are modified
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* so that they follow some axiomatic constraints.
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* </p>
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*
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* @lucene.experimental
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*/
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public abstract class Axiomatic extends SimilarityBase {
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/**
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* hyperparam for the growth function
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*/
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protected final float s;
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/**
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* hyperparam for the primitive weighthing function
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*/
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protected final float k;
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/**
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* the query length
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*/
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protected final int queryLen;
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/**
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* Constructor setting all Axiomatic hyperparameters
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* @param s hyperparam for the growth function
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* @param queryLen the query length
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* @param k hyperparam for the primitive weighting function
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*/
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public Axiomatic(float s, int queryLen, float k) {
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if (Float.isFinite(s) == false || Float.isNaN(s) || s < 0 || s > 1) {
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throw new IllegalArgumentException("illegal s value: " + s + ", must be between 0 and 1");
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}
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if (Float.isFinite(k) == false || Float.isNaN(k) || k < 0 || k > 1) {
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throw new IllegalArgumentException("illegal k value: " + k + ", must be between 0 and 1");
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}
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if (queryLen < 0 || queryLen > Integer.MAX_VALUE) {
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throw new IllegalArgumentException("illegal query length value: "
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+ queryLen + ", must be larger 0 and smaller than MAX_INT");
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}
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this.s = s;
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this.queryLen = queryLen;
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this.k = k;
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}
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/**
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* Constructor setting only s, letting k and queryLen to default
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* @param s hyperparam for the growth function
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*/
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public Axiomatic(float s) {
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this(s, 1, 0.35f);
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}
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/**
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* Constructor setting s and queryLen, letting k to default
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* @param s hyperparam for the growth function
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* @param queryLen the query length
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*/
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public Axiomatic(float s, int queryLen) {
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this(s, queryLen, 0.35f);
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}
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/**
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* Default constructor
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*/
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public Axiomatic() {
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this(0.25f, 1, 0.35f);
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}
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@Override
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public float score(BasicStats stats, float freq, float docLen) {
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return tf(stats, freq, docLen)
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* ln(stats, freq, docLen)
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* tfln(stats, freq, docLen)
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* idf(stats, freq, docLen)
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- gamma(stats, freq, docLen);
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}
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@Override
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protected void explain(List<Explanation> subs, BasicStats stats, int doc,
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float freq, float docLen) {
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if (stats.getBoost() != 1.0f) {
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subs.add(Explanation.match(stats.getBoost(), "boost"));
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}
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subs.add(Explanation.match(this.k, "k"));
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subs.add(Explanation.match(this.s, "s"));
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subs.add(Explanation.match(this.queryLen, "queryLen"));
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subs.add(Explanation.match(tf(stats, freq, docLen), "tf"));
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subs.add(Explanation.match(ln(stats, freq, docLen), "ln"));
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subs.add(Explanation.match(tfln(stats, freq, docLen), "tfln"));
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subs.add(Explanation.match(idf(stats, freq, docLen), "idf"));
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subs.add(Explanation.match(gamma(stats, freq, docLen), "gamma"));
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super.explain(subs, stats, doc, freq, docLen);
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}
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/**
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* Name of the axiomatic method.
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*/
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@Override
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public abstract String toString();
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/**
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* compute the term frequency component
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*/
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protected abstract float tf(BasicStats stats, float freq, float docLen);
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/**
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* compute the document length component
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*/
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protected abstract float ln(BasicStats stats, float freq, float docLen);
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/**
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* compute the mixed term frequency and document length component
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*/
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protected abstract float tfln(BasicStats stats, float freq, float docLen);
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/**
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* compute the inverted document frequency component
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*/
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protected abstract float idf(BasicStats stats, float freq, float docLen);
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/**
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* compute the gamma component (only for F3EXp and F3LOG)
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*/
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protected abstract float gamma(BasicStats stats, float freq, float docLen);
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}
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@ -0,0 +1,95 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.lucene.search.similarities;
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/**
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* F1EXP is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term))
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* where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freq
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*
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* @lucene.experimental
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*/
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public class AxiomaticF1EXP extends Axiomatic {
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/**
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* Constructor setting s and k, letting queryLen to default
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* @param s hyperparam for the growth function
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* @param k hyperparam for the primitive weighting function
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*/
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public AxiomaticF1EXP(float s, float k) {
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super(s, 1, k);
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}
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/**
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* Constructor setting s only, letting k and queryLen to default
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* @param s hyperparam for the growth function
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*/
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public AxiomaticF1EXP(float s) {
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this(s, 0.35f);
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}
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/**
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* Default constructor
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*/
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public AxiomaticF1EXP() {
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super();
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}
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@Override
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public String toString() {
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return "F1EXP";
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}
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/**
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* compute the term frequency component
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*/
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@Override
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protected float tf(BasicStats stats, float freq, float docLen) {
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if (freq <= 0.0) return 0f;
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return (float) (1 + Math.log(1 + Math.log(freq)));
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}
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/**
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* compute the document length component
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*/
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@Override
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protected float ln(BasicStats stats, float freq, float docLen) {
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return (stats.getAvgFieldLength() + this.s) / (stats.getAvgFieldLength() + docLen * this.s);
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}
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/**
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* compute the mixed term frequency and document length component
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*/
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@Override
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protected float tfln(BasicStats stats, float freq, float docLen) {
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return 1f;
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}
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/**
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* compute the inverted document frequency component
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*/
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@Override
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protected float idf(BasicStats stats, float freq, float docLen) {
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return (float) Math.pow((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq(), this.k);
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}
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/**
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* compute the gamma component
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*/
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@Override
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protected float gamma(BasicStats stats, float freq, float docLen) {
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return 0f;
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}
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}
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@ -0,0 +1,88 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
|
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
|
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.lucene.search.similarities;
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/**
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* F1LOG is defined as Sum(tf(term_doc_freq)*ln(docLen)*IDF(term))
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* where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq
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*
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* @lucene.experimental
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*/
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public class AxiomaticF1LOG extends Axiomatic {
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/**
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* Constructor setting s only, letting k and queryLen to default
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*
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* @param s hyperparam for the growth function
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*/
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public AxiomaticF1LOG(float s) {
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super(s);
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}
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/**
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* Default constructor
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*/
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public AxiomaticF1LOG() {
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super();
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}
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@Override
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public String toString() {
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return "F1LOG";
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}
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/**
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* compute the term frequency component
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*/
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@Override
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protected float tf(BasicStats stats, float freq, float docLen) {
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if (freq <= 0.0) return 0f;
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return (float) (1 + Math.log(1 + Math.log(freq)));
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}
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/**
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* compute the document length component
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*/
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@Override
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protected float ln(BasicStats stats, float freq, float docLen) {
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return (stats.getAvgFieldLength() + this.s) / (stats.getAvgFieldLength() + docLen * this.s);
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}
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/**
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* compute the mixed term frequency and document length component
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*/
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@Override
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protected float tfln(BasicStats stats, float freq, float docLen) {
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return 1f;
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}
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/**
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* compute the inverted document frequency component
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*/
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@Override
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protected float idf(BasicStats stats, float freq, float docLen) {
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return (float) Math.log((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq());
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}
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/**
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* compute the gamma component
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*/
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@Override
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protected float gamma(BasicStats stats, float freq, float docLen) {
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return 0f;
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}
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}
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@ -0,0 +1,94 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
|
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* 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
|
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* the License. You may obtain a copy of the License at
|
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*
|
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* http://www.apache.org/licenses/LICENSE-2.0
|
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*
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* 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.
|
||||
*/
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package org.apache.lucene.search.similarities;
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/**
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* F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term))
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* where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freq
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*
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* @lucene.experimental
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*/
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public class AxiomaticF2EXP extends Axiomatic {
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/**
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* Constructor setting s and k, letting queryLen to default
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* @param s hyperparam for the growth function
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* @param k hyperparam for the primitive weighting function
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*/
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public AxiomaticF2EXP(float s, float k) {
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super(s, 1, k);
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}
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/**
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* Constructor setting s only, letting k and queryLen to default
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* @param s hyperparam for the growth function
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*/
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public AxiomaticF2EXP(float s) {
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this(s, 0.35f);
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}
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/**
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* Default constructor
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*/
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public AxiomaticF2EXP() {
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super();
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}
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@Override
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public String toString() {
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return "F2EXP";
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}
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/**
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* compute the term frequency component
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*/
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@Override
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protected float tf(BasicStats stats, float freq, float docLen) {
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return 1f;
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}
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/**
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* compute the document length component
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*/
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@Override
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protected float ln(BasicStats stats, float freq, float docLen) {
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return 1f;
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}
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/**
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* compute the mixed term frequency and document length component
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*/
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@Override
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protected float tfln(BasicStats stats, float freq, float docLen) {
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return freq / (freq + this.s + this.s * docLen / stats.getAvgFieldLength());
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}
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/**
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* compute the inverted document frequency component
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*/
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@Override
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protected float idf(BasicStats stats, float freq, float docLen) {
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return (float) Math.pow((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq(), this.k);
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}
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/**
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* compute the gamma component
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*/
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@Override
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protected float gamma(BasicStats stats, float freq, float docLen) {
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return 0f;
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}
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}
|
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@ -0,0 +1,86 @@
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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
|
||||
*
|
||||
* 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;
|
||||
|
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/**
|
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* F2EXP is defined as Sum(tfln(term_doc_freq, docLen)*IDF(term))
|
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* where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq
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*
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* @lucene.experimental
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*/
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public class AxiomaticF2LOG extends Axiomatic {
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/**
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* Constructor setting s only, letting k and queryLen to default
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*
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* @param s hyperparam for the growth function
|
||||
*/
|
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public AxiomaticF2LOG(float s) {
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super(s);
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}
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/**
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* Default constructor
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*/
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public AxiomaticF2LOG() {
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super();
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}
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@Override
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public String toString() {
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return "F2LOG";
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}
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||||
|
||||
/**
|
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* compute the term frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float tf(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the document length component
|
||||
*/
|
||||
@Override
|
||||
protected float ln(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the mixed term frequency and document length component
|
||||
*/
|
||||
@Override
|
||||
protected float tfln(BasicStats stats, float freq, float docLen) {
|
||||
return freq / (freq + this.s + this.s * docLen / stats.getAvgFieldLength());
|
||||
}
|
||||
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/**
|
||||
* compute the inverted document frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float idf(BasicStats stats, float freq, float docLen) {
|
||||
return (float) Math.log((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq());
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the gamma component
|
||||
*/
|
||||
@Override
|
||||
protected float gamma(BasicStats stats, float freq, float docLen) {
|
||||
return 0f;
|
||||
}
|
||||
}
|
|
@ -0,0 +1,94 @@
|
|||
/*
|
||||
* 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;
|
||||
|
||||
/**
|
||||
* F2EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen))
|
||||
* where IDF(t) = pow((N+1)/df(t), k) N=total num of docs, df=doc freq
|
||||
* gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl
|
||||
*
|
||||
* @lucene.experimental
|
||||
*/
|
||||
public class AxiomaticF3EXP extends Axiomatic {
|
||||
|
||||
/**
|
||||
* Constructor setting all Axiomatic hyperparameters
|
||||
*
|
||||
* @param s hyperparam for the growth function
|
||||
* @param queryLen the query length
|
||||
* @param k hyperparam for the primitive weighting function
|
||||
*/
|
||||
public AxiomaticF3EXP(float s, int queryLen, float k) {
|
||||
super(s, queryLen, k);
|
||||
}
|
||||
|
||||
/**
|
||||
* Constructor setting s and queryLen, letting k to default
|
||||
*
|
||||
* @param s hyperparam for the growth function
|
||||
* @param queryLen the query length
|
||||
*/
|
||||
public AxiomaticF3EXP(float s, int queryLen) {
|
||||
this(s, queryLen, 0.35f);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return "F3EXP";
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the term frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float tf(BasicStats stats, float freq, float docLen) {
|
||||
if (freq <= 0.0) return 0f;
|
||||
return (float) (1 + Math.log(1 + Math.log(freq)));
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the document length component
|
||||
*/
|
||||
@Override
|
||||
protected float ln(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the mixed term frequency and document length component
|
||||
*/
|
||||
@Override
|
||||
protected float tfln(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the inverted document frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float idf(BasicStats stats, float freq, float docLen) {
|
||||
return (float) Math.pow((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq(), this.k);
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the gamma component
|
||||
*/
|
||||
@Override
|
||||
protected float gamma(BasicStats stats, float freq, float docLen) {
|
||||
return (docLen - this.queryLen) * this.s * this.queryLen / stats.getAvgFieldLength();
|
||||
}
|
||||
}
|
|
@ -0,0 +1,83 @@
|
|||
/*
|
||||
* 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;
|
||||
|
||||
/**
|
||||
* F2EXP is defined as Sum(tf(term_doc_freq)*IDF(term)-gamma(docLen, queryLen))
|
||||
* where IDF(t) = ln((N+1)/df(t)) N=total num of docs, df=doc freq
|
||||
* gamma(docLen, queryLen) = (docLen-queryLen)*queryLen*s/avdl
|
||||
*
|
||||
* @lucene.experimental
|
||||
*/
|
||||
public class AxiomaticF3LOG extends Axiomatic {
|
||||
|
||||
/**
|
||||
* Constructor setting s and queryLen, letting k to default
|
||||
*
|
||||
* @param s hyperparam for the growth function
|
||||
* @param queryLen the query length
|
||||
*/
|
||||
public AxiomaticF3LOG(float s, int queryLen) {
|
||||
super(s, queryLen);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return "F3LOG";
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the term frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float tf(BasicStats stats, float freq, float docLen) {
|
||||
if (freq <= 0.0) return 0f;
|
||||
return (float) (1 + Math.log(1 + Math.log(freq)));
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the document length component
|
||||
*/
|
||||
@Override
|
||||
protected float ln(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the mixed term frequency and document length component
|
||||
*/
|
||||
@Override
|
||||
protected float tfln(BasicStats stats, float freq, float docLen) {
|
||||
return 1f;
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the inverted document frequency component
|
||||
*/
|
||||
@Override
|
||||
protected float idf(BasicStats stats, float freq, float docLen) {
|
||||
return (float) Math.log((stats.getNumberOfDocuments() + 1.0) / stats.getDocFreq());
|
||||
}
|
||||
|
||||
/**
|
||||
* compute the gamma component
|
||||
*/
|
||||
@Override
|
||||
protected float gamma(BasicStats stats, float freq, float docLen) {
|
||||
return (docLen - this.queryLen) * this.s * this.queryLen / stats.getAvgFieldLength();
|
||||
}
|
||||
}
|
|
@ -0,0 +1,86 @@
|
|||
/*
|
||||
* 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.util.LuceneTestCase;
|
||||
|
||||
public class TestAxiomaticSimilarity extends LuceneTestCase {
|
||||
|
||||
public void testSaneNormValues() {
|
||||
Axiomatic sim = new AxiomaticF2EXP();
|
||||
for (int i = 0; i < 256; i++) {
|
||||
float len = sim.decodeNormValue((byte) i);
|
||||
assertFalse("negative len: " + len + ", byte=" + i, len < 0.0f);
|
||||
assertFalse("inf len: " + len + ", byte=" + i, Float.isInfinite(len));
|
||||
assertFalse("nan len for byte=" + i, Float.isNaN(len));
|
||||
if (i > 0) {
|
||||
assertTrue("len is not decreasing: " + len + ",byte=" + i, len < sim.decodeNormValue((byte) (i - 1)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public void testIllegalS() {
|
||||
IllegalArgumentException expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(Float.POSITIVE_INFINITY, 0.1f);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal s value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(-1, 0.1f);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal s value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(Float.NaN, 0.1f);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal s value"));
|
||||
}
|
||||
|
||||
public void testIllegalK() {
|
||||
IllegalArgumentException expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(0.35f, 2f);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal k value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(0.35f, -1f);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal k value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(0.35f, Float.POSITIVE_INFINITY);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal k value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(0.35f, Float.NaN);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal k value"));
|
||||
}
|
||||
|
||||
public void testIllegalQL() {
|
||||
IllegalArgumentException expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF3EXP(0.35f, -1);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal query length value"));
|
||||
|
||||
expected = expectThrows(IllegalArgumentException.class, () -> {
|
||||
new AxiomaticF2EXP(0.35f, Integer.MAX_VALUE + 1);
|
||||
});
|
||||
assertTrue(expected.getMessage().contains("illegal k value"));
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue