
org.terrier.learning.FeaturedResultSet Maven / Gradle / Ivy
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/*
* Terrier - Terabyte Retriever
* Webpage: http://terrier.org
* Contact: terrier{a.}dcs.gla.ac.uk
* University of Glasgow - School of Computing Science
* http://www.gla.ac.uk/
*
* The contents of this file are subject to the Mozilla Public License
* Version 1.1 (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.mozilla.org/MPL/
*
* Software distributed under the License is distributed on an "AS IS"
* basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See
* the License for the specific language governing rights and limitations
* under the License.
*
* The Original Code is FeaturedResultSet.java.
*
* The Original Code is Copyright (C) 2004-2020 the University of Glasgow.
* All Rights Reserved.
*
* Contributor(s):
* Rodrygo Santos
*/
package org.terrier.learning;
import org.terrier.matching.ResultSet;
/**
* A result set to accommodate multiple feature scores.
* Features scores are managed as "dense" arrays, ordered by the current ordering of
* docids in the ResultSet (i.e. as returned by getDocids()).
*
* @author Rodrygo Santos
* @since 4.0
*/
public interface FeaturedResultSet extends ResultSet {
/** Number of features decorated for this resultset */
public int getNumberOfFeatures();
/** Gets the names of the features that have been added to this ResultSet */
public String[] getFeatureNames();
/** Add a feature to this result set */
public void putFeatureScores(String name, double[] scores);
/** Get all scores for the enabled docids given a feature name */
public double[] getFeatureScores(String name);
//TODO from here down.
//id is NOT a docid. Consider renaming.
/** Get the feature scores for a given feature id */
public double[] getFeatureScores(int feature_id);
public void setLabels(String[] labels);
public String[] getLabels();
public void setDefaultLabel(String label);
public String getDefaultLabel();
}
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