Struct elasticsearch_dsl::search::queries::specialized::RankFeatureLogarithmQuery [−][src]
pub struct RankFeatureLogarithmQuery { /* fields omitted */ }
Expand description
Boosts the relevance score of documents based on the numeric value of a rank_feature
or
rank_features
field.
To create a rank feature query:
Query::rank_feature("test");
To apply mathematical functions:
Query::rank_feature("test").saturation();
Query::rank_feature("test").saturation().pivot(2.2);
Query::rank_feature("test").logarithm(3.0);
Query::rank_feature("test").sigmoid(1.0, 2.0);
Query::rank_feature("test").linear();
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-rank-feature-query.html
Implementations
Floating point number used to decrease or increase the
relevance scores
of a query. Defaults to 1.0
.
You can use the boost parameter to adjust relevance scores for searches containing two or more queries.
Boost values are relative to the default value of 1.0
.
A boost value between 0 and 1.0
decreases the relevance score.
A value greater than 1.0
increases the relevance score.
You can use named queries to track which queries matched
returned documents. If named queries are used, the response
includes a matched_queries
property for each hit.
Trait Implementations
Performs the conversion.
Performs the conversion.
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for RankFeatureLogarithmQuery
impl Send for RankFeatureLogarithmQuery
impl Sync for RankFeatureLogarithmQuery
impl Unpin for RankFeatureLogarithmQuery
impl UnwindSafe for RankFeatureLogarithmQuery
Blanket Implementations
Mutably borrows from an owned value. Read more