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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.search.suggest.phrase;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.Terms;
import org.apache.lucene.util.BytesRef;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.common.xcontent.XContentParser.Token;
import org.elasticsearch.index.query.QueryParseContext;
import org.elasticsearch.search.suggest.phrase.WordScorer.WordScorerFactory;
import java.io.IOException;
import java.util.Objects;
/**
* A "stupid-backoff" smoothing model similar to <a
* href="http://en.wikipedia.org/wiki/Katz's_back-off_model"> Katz's
* Backoff</a>. This model is used as the default if no model is configured.
* <p>
* See <a
* href="http://en.wikipedia.org/wiki/N-gram#Smoothing_techniques">N-Gram
* Smoothing</a> for details.
* </p>
*/
public final class StupidBackoff extends SmoothingModel {
/**
* Default discount parameter for {@link StupidBackoff} smoothing
*/
public static final double DEFAULT_BACKOFF_DISCOUNT = 0.4;
public static final StupidBackoff PROTOTYPE = new StupidBackoff(DEFAULT_BACKOFF_DISCOUNT);
private double discount = DEFAULT_BACKOFF_DISCOUNT;
private static final String NAME = "stupid_backoff";
private static final ParseField DISCOUNT_FIELD = new ParseField("discount");
static final ParseField PARSE_FIELD = new ParseField(NAME);
/**
* Creates a Stupid-Backoff smoothing model.
*
* @param discount
* the discount given to lower order ngrams if the higher order ngram doesn't exits
*/
public StupidBackoff(double discount) {
this.discount = discount;
}
/**
* @return the discount parameter of the model
*/
public double getDiscount() {
return this.discount;
}
@Override
protected XContentBuilder innerToXContent(XContentBuilder builder, Params params) throws IOException {
builder.field(DISCOUNT_FIELD.getPreferredName(), discount);
return builder;
}
@Override
public String getWriteableName() {
return NAME;
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeDouble(discount);
}
@Override
public StupidBackoff readFrom(StreamInput in) throws IOException {
return new StupidBackoff(in.readDouble());
}
@Override
protected boolean doEquals(SmoothingModel other) {
StupidBackoff otherModel = (StupidBackoff) other;
return Objects.equals(discount, otherModel.discount);
}
@Override
protected final int doHashCode() {
return Objects.hash(discount);
}
@Override
public SmoothingModel innerFromXContent(QueryParseContext parseContext) throws IOException {
XContentParser parser = parseContext.parser();
XContentParser.Token token;
String fieldName = null;
double discount = DEFAULT_BACKOFF_DISCOUNT;
while ((token = parser.nextToken()) != Token.END_OBJECT) {
if (token == XContentParser.Token.FIELD_NAME) {
fieldName = parser.currentName();
}
if (token.isValue() && parseContext.parseFieldMatcher().match(fieldName, DISCOUNT_FIELD)) {
discount = parser.doubleValue();
}
}
return new StupidBackoff(discount);
}
@Override
public WordScorerFactory buildWordScorerFactory() {
return (IndexReader reader, Terms terms, String field, double realWordLikelyhood, BytesRef separator)
-> new StupidBackoffScorer(reader, terms, field, realWordLikelyhood, separator, discount);
}
}
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