Package org.opensearch.index.query

Class RankFeatureQueryBuilders

java.lang.Object

org.opensearch.index.query.RankFeatureQueryBuilders

public final class RankFeatureQueryBuilders
extends Object

Method Summary

Modifier and Type	Method	Description
static RankFeatureQueryBuilder	linear(String fieldName)	Return a new RankFeatureQueryBuilder that will score documents as S) where S is the indexed value of the static feature.
static RankFeatureQueryBuilder	log(String fieldName, float scalingFactor)	Return a new RankFeatureQueryBuilder that will score documents as boost * Math.log(scalingFactor + S) where S is the value of the static feature.
static RankFeatureQueryBuilder	saturation(String fieldName)	Same as saturation(String, float) but a reasonably good default pivot value is computed based on index statistics and is approximately equal to the geometric mean of all values that exist in the index.
static RankFeatureQueryBuilder	saturation(String fieldName, float pivot)	Return a new RankFeatureQueryBuilder that will score documents as boost * S / (S + pivot) where S is the value of the static feature.
static RankFeatureQueryBuilder	sigmoid(String fieldName, float pivot, float exp)	Return a new RankFeatureQueryBuilder that will score documents as boost * S^a / (S^a + pivot^a) where S is the value of the static feature.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

saturation

public static RankFeatureQueryBuilder saturation(String fieldName,
 float pivot)

Return a new RankFeatureQueryBuilder that will score documents as boost * S / (S + pivot) where S is the value of the static feature.

Parameters:

fieldName - field that stores features

pivot - feature value that would give a score contribution equal to weight/2, must be in (0, +Infinity)

saturation

public static RankFeatureQueryBuilder saturation(String fieldName)

Same as saturation(String, float) but a reasonably good default pivot value is computed based on index statistics and is approximately equal to the geometric mean of all values that exist in the index.

Parameters:

fieldName - field that stores features

log

public static RankFeatureQueryBuilder log(String fieldName,
 float scalingFactor)

Return a new RankFeatureQueryBuilder that will score documents as boost * Math.log(scalingFactor + S) where S is the value of the static feature.

Parameters:

fieldName - field that stores features

scalingFactor - scaling factor applied before taking the logarithm, must be in [1, +Infinity)

sigmoid

public static RankFeatureQueryBuilder sigmoid(String fieldName,
 float pivot,
 float exp)

Return a new RankFeatureQueryBuilder that will score documents as boost * S^a / (S^a + pivot^a) where S is the value of the static feature.

Parameters:

fieldName - field that stores features

pivot - feature value that would give a score contribution equal to weight/2, must be in (0, +Infinity)

exp - exponent, higher values make the function grow slower before 'pivot' and faster after 'pivot', must be in (0, +Infinity)

linear

public static RankFeatureQueryBuilder linear(String fieldName)

Return a new RankFeatureQueryBuilder that will score documents as S) where S is the indexed value of the static feature.

Parameters:

fieldName - field that stores features