Package org.opensearch.index.rankeval
Class MeanReciprocalRank
java.lang.Object
org.opensearch.index.rankeval.MeanReciprocalRank
- All Implemented Interfaces:
NamedWriteable,Writeable,ToXContent,ToXContentObject,EvaluationMetric
Metric implementing Mean Reciprocal Rank (https://en.wikipedia.org/wiki/Mean_reciprocal_rank).
By default documents with a rating equal or bigger than 1 are considered to be "relevant" for the reciprocal rank calculation. This value can be changes using the relevant_rating_threshold` parameter.
By default documents with a rating equal or bigger than 1 are considered to be "relevant" for the reciprocal rank calculation. This value can be changes using the relevant_rating_threshold` parameter.
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Nested Class Summary
Nested ClassesNested classes/interfaces inherited from interface org.opensearch.common.xcontent.ToXContent
ToXContent.DelegatingMapParams, ToXContent.MapParams, ToXContent.ParamsNested classes/interfaces inherited from interface org.opensearch.common.io.stream.Writeable
Writeable.Reader<V extends Object>, Writeable.Writer<V extends Object> -
Field Summary
FieldsFields inherited from interface org.opensearch.common.xcontent.ToXContent
EMPTY_PARAMS -
Constructor Summary
ConstructorsConstructorDescriptionMeanReciprocalRank(int relevantRatingThreshold, int k) Metric implementing Mean Reciprocal Rank (https://en.wikipedia.org/wiki/Mean_reciprocal_rank). -
Method Summary
Modifier and TypeMethodDescriptionfinal booleanevaluate(String taskId, SearchHit[] hits, List<RatedDocument> ratedDocs) Compute ReciprocalRank based on provided relevant document IDs.Metrics can define a size of the search hits windows they want to retrieve by overwriting this method.static MeanReciprocalRankfromXContent(XContentParser parser) intReturn the rating threshold above which ratings are considered to be "relevant".final inthashCode()toXContent(XContentBuilder builder, ToXContent.Params params) voidwriteTo(StreamOutput out) Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.opensearch.index.rankeval.EvaluationMetric
combineMethods inherited from interface org.opensearch.common.xcontent.ToXContentObject
isFragment
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Field Details
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NAME
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Constructor Details
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MeanReciprocalRank
public MeanReciprocalRank() -
MeanReciprocalRank
public MeanReciprocalRank(int relevantRatingThreshold, int k) Metric implementing Mean Reciprocal Rank (https://en.wikipedia.org/wiki/Mean_reciprocal_rank).- Parameters:
relevantRatingThreshold- the rating value that a document needs to be regarded as "relevant". Defaults to 1.k- the search window size all request use.
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Method Details
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writeTo
- Specified by:
writeToin interfaceWriteable- Throws:
IOException
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forcedSearchSize
Description copied from interface:EvaluationMetricMetrics can define a size of the search hits windows they want to retrieve by overwriting this method. The default implementation returns an empty optional.- Specified by:
forcedSearchSizein interfaceEvaluationMetric- Returns:
- the number of search hits this metrics requests
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getWriteableName
- Specified by:
getWriteableNamein interfaceNamedWriteable
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getRelevantRatingThreshold
public int getRelevantRatingThreshold()Return the rating threshold above which ratings are considered to be "relevant". -
evaluate
Compute ReciprocalRank based on provided relevant document IDs.- Specified by:
evaluatein interfaceEvaluationMetric- Parameters:
taskId- an identifier of the query for which the search ranking is evaluatedhits- the search result hitsratedDocs- the documents that contain the document rating for this query case- Returns:
- an
EvalQueryQualityinstance that contains the metric score with respect to the provided search hits and ratings
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fromXContent
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toXContent
public XContentBuilder toXContent(XContentBuilder builder, ToXContent.Params params) throws IOException - Specified by:
toXContentin interfaceToXContent- Throws:
IOException
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equals
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hashCode
public final int hashCode()
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