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https://issues.apache.org/jira/browse/SOLR-15778?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anna updated SOLR-15778:
------------------------
    Description: 
Currently, in the debug=timing query parameter, no information is given on the 
time required to execute features extraction 
(https://solr.apache.org/guide/8_10/common-query-parameters.html#debug-parameter).

This is crucial for those who use learning to rank and what to improve the 
temporal performance of learning to rank queries.

This can help them in differentiating the time required by features extraction 
(that is separately done for each document to rerank) and the time required by 
the model to assign a score to each document.

  was:
Currently, in the debug=timing query parameter, no information is given on the 
time required to execute features extraction 
(https://solr.apache.org/guide/6_6/common-query-parameters.html#CommonQueryParameters-ThedebugParameter).

This is crucial for those who use learning to rank and what to improve the 
temporal performance of learning to rank queries.

This can help them in differentiating the time required by features extraction 
(that is separately done for each document to rerank) and the time required by 
the model to assign a score to each document.

         Labels: learning-to-rank  (was: )

> Compute time required by features extraction
> --------------------------------------------
>
>                 Key: SOLR-15778
>                 URL: https://issues.apache.org/jira/browse/SOLR-15778
>             Project: Solr
>          Issue Type: Improvement
>      Security Level: Public(Default Security Level. Issues are Public) 
>    Affects Versions: 8.10.1
>            Reporter: Anna
>            Priority: Minor
>              Labels: learning-to-rank
>
> Currently, in the debug=timing query parameter, no information is given on 
> the time required to execute features extraction 
> (https://solr.apache.org/guide/8_10/common-query-parameters.html#debug-parameter).
> This is crucial for those who use learning to rank and what to improve the 
> temporal performance of learning to rank queries.
> This can help them in differentiating the time required by features 
> extraction (that is separately done for each document to rerank) and the time 
> required by the model to assign a score to each document.



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