Interface ISignificantTermsAggregation
Namespace: OpenSearch.Client
Assembly: OpenSearch.Client.dll
Syntax
public interface ISignificantTermsAggregation : IBucketAggregation, IAggregation
Properties
| Edit this page View SourceBackgroundFilter
The default source of statistical information for background term frequencies is the entire index. This scope can be narrowed through the use of a background filter to focus in on significant terms within a narrower context
Declaration
[DataMember(Name = "background_filter")]
QueryContainer BackgroundFilter { get; set; }
Property Value
Type | Description |
---|---|
QueryContainer |
ChiSquare
Use chi square to calculate significance score
Declaration
[DataMember(Name = "chi_square")]
IChiSquareHeuristic ChiSquare { get; set; }
Property Value
Type | Description |
---|---|
IChiSquareHeuristic |
Exclude
Exclude term values for which buckets will be created.
Declaration
[DataMember(Name = "exclude")]
IncludeExclude Exclude { get; set; }
Property Value
Type | Description |
---|---|
IncludeExclude |
ExecutionHint
Determines the mechanism by which aggregations are executed
Declaration
[DataMember(Name = "execution_hint")]
TermsAggregationExecutionHint? ExecutionHint { get; set; }
Property Value
Type | Description |
---|---|
TermsAggregationExecutionHint? |
Field
The field on which to run the aggregation
Declaration
[DataMember(Name = "field")]
Field Field { get; set; }
Property Value
Type | Description |
---|---|
Field |
GoogleNormalizedDistance
Use Google normalized distance to calculate significance score
Declaration
[DataMember(Name = "gnd")]
IGoogleNormalizedDistanceHeuristic GoogleNormalizedDistance { get; set; }
Property Value
Type | Description |
---|---|
IGoogleNormalizedDistanceHeuristic |
Include
Include term values for which buckets will be created.
Declaration
[DataMember(Name = "include")]
IncludeExclude Include { get; set; }
Property Value
Type | Description |
---|---|
IncludeExclude |
MinimumDocumentCount
Return only terms that match equal to or more than a configurable number of hits
Declaration
[DataMember(Name = "min_doc_count")]
long? MinimumDocumentCount { get; set; }
Property Value
Type | Description |
---|---|
long? |
MutualInformation
Use mutual information to calculate significance score
Declaration
[DataMember(Name = "mutual_information")]
IMutualInformationHeuristic MutualInformation { get; set; }
Property Value
Type | Description |
---|---|
IMutualInformationHeuristic |
PercentageScore
Use percentage to calculate significance score.
A simple calculation of the number of documents in the foreground sample with a term divided by the number of documents in the background with the term. By default this produces a score greater than zero and less than one.
Declaration
[DataMember(Name = "percentage")]
IPercentageScoreHeuristic PercentageScore { get; set; }
Property Value
Type | Description |
---|---|
IPercentageScoreHeuristic |
Script
Use a script to calculate a custom significance score.
Declaration
[DataMember(Name = "script_heuristic")]
IScriptedHeuristic Script { get; set; }
Property Value
Type | Description |
---|---|
IScriptedHeuristic |
ShardMinimumDocumentCount
Regulates the certainty a shard has if the term should actually be added to the candidate list or not with respect to the MinimumDocumentCount. Terms will only be considered if their local shard frequency within the set is higher than the ShardMinimumDocumentCount.
Declaration
[DataMember(Name = "shard_min_doc_count")]
long? ShardMinimumDocumentCount { get; set; }
Property Value
Type | Description |
---|---|
long? |
ShardSize
Controls the number of candidate terms produced by each shard from which the Size of terms is selected.
Declaration
[DataMember(Name = "shard_size")]
int? ShardSize { get; set; }
Property Value
Type | Description |
---|---|
int? |
Size
Defines how many term buckets should be returned out of the overall terms list
Declaration
[DataMember(Name = "size")]
int? Size { get; set; }
Property Value
Type | Description |
---|---|
int? |