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+/*
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+ * Licensed to Elasticsearch under one or more contributor
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+ * license agreements. See the NOTICE file distributed with
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+ * this work for additional information regarding copyright
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+ * ownership. Elasticsearch licenses this file to you under
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+ * the Apache License, Version 2.0 (the "License"); you may
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+ * not use this file except in compliance with the License.
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+ * 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,
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+ * software distributed under the License is distributed on an
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+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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+ * KIND, either express or implied. See the License for the
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+ * specific language governing permissions and limitations
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+ * under the License.
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+ */
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+
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+package org.elasticsearch.index.query;
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+
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+public final class RankFeatureQueryBuilders {
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+ private RankFeatureQueryBuilders() {}
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+
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+ /**
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+ * Return a new {@link RankFeatureQueryBuilder} that will score documents as
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+ * {@code boost * S / (S + pivot)} where S is the value of the static feature.
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+ * @param fieldName field that stores features
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+ * @param pivot feature value that would give a score contribution equal to weight/2, must be in (0, +Infinity)
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+ */
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+ public static RankFeatureQueryBuilder saturation(String fieldName, float pivot) {
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+ return new RankFeatureQueryBuilder(fieldName, new RankFeatureQueryBuilder.ScoreFunction.Saturation(pivot));
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+ }
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+
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+ /**
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+ * Same as {@link #saturation(String, float)} but a reasonably good default pivot value
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+ * is computed based on index statistics and is approximately equal to the geometric mean of all
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+ * values that exist in the index.
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+ * @param fieldName field that stores features
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+ */
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+ public static RankFeatureQueryBuilder saturation(String fieldName) {
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+ return new RankFeatureQueryBuilder(fieldName, new RankFeatureQueryBuilder.ScoreFunction.Saturation());
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+ }
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+
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+ /**
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+ * Return a new {@link RankFeatureQueryBuilder} that will score documents as
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+ * {@code boost * Math.log(scalingFactor + S)} where S is the value of the static feature.
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+ * @param fieldName field that stores features
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+ * @param scalingFactor scaling factor applied before taking the logarithm, must be in [1, +Infinity)
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+ */
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+ public static RankFeatureQueryBuilder log(String fieldName, float scalingFactor) {
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+ return new RankFeatureQueryBuilder(fieldName, new RankFeatureQueryBuilder.ScoreFunction.Log(scalingFactor));
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+ }
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+
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+ /**
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+ * Return a new {@link RankFeatureQueryBuilder} that will score documents as
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+ * {@code boost * S^a / (S^a + pivot^a)} where S is the value of the static feature.
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+ * @param fieldName field that stores features
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+ * @param pivot feature value that would give a score contribution equal to weight/2, must be in (0, +Infinity)
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+ * @param exp exponent, higher values make the function grow slower before 'pivot' and faster after 'pivot',
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+ * must be in (0, +Infinity)
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+ */
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+ public static RankFeatureQueryBuilder sigmoid(String fieldName, float pivot, float exp) {
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+ return new RankFeatureQueryBuilder(fieldName, new RankFeatureQueryBuilder.ScoreFunction.Sigmoid(pivot, exp));
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+ }
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+
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+}
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