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* Licensed to Elasticsearch under one or more contributor
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* 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
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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);
}
}