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• 9.6.1
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• package-info.java

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org.apache.solr.ltr.package-info Maven / Gradle / Ivy

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF 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.
 */

/**
 * This package contains the main logic for performing the reranking using a Learning to Rank model.
 *
 * 
A model will be applied on each document through a {@link
 * org.apache.solr.ltr.LTRScoringQuery}, a subclass of {@link org.apache.lucene.search.Query}. As a
 * normal query, the learned model will produce a new score for each document reranked.
 *
 * 
A {@link org.apache.solr.ltr.LTRScoringQuery} is created by providing an instance of {@link
 * org.apache.solr.ltr.model.LTRScoringModel}. An instance of {@link
 * org.apache.solr.ltr.model.LTRScoringModel} defines how to combine the features in order to create
 * a new score for a document. A new Learning to Rank model is plugged into the framework by
 * extending {@link org.apache.solr.ltr.model.LTRScoringModel}, (see for example {@link
 * org.apache.solr.ltr.model.MultipleAdditiveTreesModel} and {@link
 * org.apache.solr.ltr.model.LinearModel}).
 *
 * 
The {@link org.apache.solr.ltr.LTRScoringQuery} will take care of computing the values of all
 * the features (see {@link org.apache.solr.ltr.feature.Feature}) and then will delegate the final
 * score generation to the {@link org.apache.solr.ltr.model.LTRScoringModel}, by calling the method
 * {@link org.apache.solr.ltr.model.LTRScoringModel#score(float[] modelFeatureValuesNormalized)
 * score(float[] modelFeatureValuesNormalized)}.
 */
package org.apache.solr.ltr;