You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@lucene.apache.org by "Diego Ceccarelli (JIRA)" <ji...@apache.org> on 2017/05/19 16:57:04 UTC
[jira] [Updated] (SOLR-10717) Learning to rank: Solr a query will
fail if the feature vector is requested without providing external feature
information parameters
[ https://issues.apache.org/jira/browse/SOLR-10717?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Diego Ceccarelli updated SOLR-10717:
------------------------------------
Summary: Learning to rank: Solr a query will fail if the feature vector is requested without providing external feature information parameters (was: Learning to rank: Solr query fails if you ask for the feature vector without providing external feature information parameters)
> Learning to rank: Solr a query will fail if the feature vector is requested 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org