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Learing to Rank Query w/ RankLib Models
/*
* Copyright [2017] Wikimedia Foundation
*
* Licensed 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 com.o19s.es.ltr.feature;
import com.o19s.es.ltr.LtrQueryContext;
import org.apache.lucene.search.Query;
import java.util.List;
import java.util.Map;
/**
* A set of features.
* Features can be identified by their name or ordinal.
* A FeatureSet is dense and ordinals start at 0.
*/
public interface FeatureSet {
/**
* Name of the feature set
*/
String name();
/**
* Parse and build lucene queries
*/
List toQueries(LtrQueryContext context, Map params);
/**
* Retrieve feature ordinal by its name.
* If the feature does not exist the behavior of this method is
* undefined.
*/
int featureOrdinal(String featureName);
/**
* Retrieve feature by its ordinal.
* May produce unexpected results if called with unknown ordinal
*/
Feature feature(int ord);
/**
* Access a feature by its name.
* May produce unexpected results if called with unknown feature
*/
Feature feature(String featureName);
/**
* Check if this set supports this feature
* @return true if supported false otherwise
*/
boolean hasFeature(String featureName);
/**
*
* Number of features in the set.
*/
int size();
default FeatureSet optimize() {
return this;
}
default void validate() {
}
}