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https://issues.apache.org/jira/browse/SOLR-10717?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16017651#comment-16017651
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Diego Ceccarelli commented on SOLR-10717:
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I can see different ways to fix this:
1) Return only the features for which it was possible to compute the value
(ignore, or set to NaN features for which we had errors)
2) Return a proper response error
3) Add a parameter ({{ignoreEfiErrors}}) that the user can set to {{true}} if
s/he wants 1) otherwise 2).
[~cpoerschke], [~alessandro.benedetti], [~mnilsson] comments?
> Learning to rank: Solr query fails if you ask for the feature vector without
> providing external feature information parameters
> ------------------------------------------------------------------------------------------------------------------------------
>
> Key: SOLR-10717
> URL: https://issues.apache.org/jira/browse/SOLR-10717
> Project: Solr
> Issue Type: Bug
> Security Level: Public(Default Security Level. Issues are Public)
> Affects Versions: 6.5.1
> Reporter: Diego Ceccarelli
> Priority: Minor
>
> In ltr some features can depend on External Feature Informations that have to
> be provided at query time. If we query solr only to retrieve the feature
> vectors for the documents (without doing reranking), and without providing
> all the external feature informations used in the feature store the query
> will fail.
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