/* * Licensed to Elasticsearch under one or more contributor * license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright * ownership. Elasticsearch 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.elasticsearch.search.suggest.phrase; import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.Terms; import org.apache.lucene.util.BytesRef; import org.elasticsearch.search.suggest.phrase.DirectCandidateGenerator.Candidate; import java.io.IOException; final class LaplaceScorer extends WordScorer { private double alpha; LaplaceScorer(IndexReader reader, Terms terms, String field, double realWordLikelyhood, BytesRef separator, double alpha) throws IOException { super(reader, terms, field, realWordLikelyhood, separator); this.alpha = alpha; } double alpha() { return this.alpha; } @Override protected double scoreBigram(Candidate word, Candidate w_1) throws IOException { join(separator, spare, w_1.term, word.term); return (alpha + frequency(spare.get())) / (alpha + w_1.frequency + vocabluarySize); } @Override protected double scoreTrigram(Candidate word, Candidate w_1, Candidate w_2) throws IOException { join(separator, spare, w_2.term, w_1.term, word.term); long trigramCount = frequency(spare.get()); join(separator, spare, w_1.term, word.term); return (alpha + trigramCount) / (alpha + frequency(spare.get()) + vocabluarySize); } }