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/*
* 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.index.similarity;
import org.apache.lucene.search.similarities.BM25Similarity;
import org.apache.lucene.search.similarities.Similarity;
import org.elasticsearch.Version;
import org.elasticsearch.common.logging.DeprecationLogger;
import org.elasticsearch.common.logging.ESLoggerFactory;
import org.elasticsearch.common.settings.Settings;
/**
* {@link SimilarityProvider} for the {@link BM25Similarity}.
*
* Configuration options available:
*
* - k1
* - b
* - discount_overlaps
*
* @see BM25Similarity For more information about configuration
*/
public class BM25SimilarityProvider extends AbstractSimilarityProvider {
private final BM25Similarity similarity;
public BM25SimilarityProvider(String name, Settings settings, Settings indexSettings) {
super(name);
float k1 = settings.getAsFloat("k1", 1.2f);
float b = settings.getAsFloat("b", 0.75f);
final DeprecationLogger deprecationLogger = new DeprecationLogger(ESLoggerFactory.getLogger(getClass()));
boolean discountOverlaps =
settings.getAsBooleanLenientForPreEs6Indices(Version.indexCreated(indexSettings), "discount_overlaps", true, deprecationLogger);
this.similarity = new BM25Similarity(k1, b);
this.similarity.setDiscountOverlaps(discountOverlaps);
}
/**
* {@inheritDoc}
*/
@Override
public Similarity get() {
return similarity;
}
}
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