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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2016/06/04 02:33:59 UTC

[jira] [Assigned] (SOLR-9186) Logistic regression modeling on text

     [ https://issues.apache.org/jira/browse/SOLR-9186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joel Bernstein reassigned SOLR-9186:
------------------------------------

    Assignee: Joel Bernstein

> Logistic regression modeling on text
> ------------------------------------
>
>                 Key: SOLR-9186
>                 URL: https://issues.apache.org/jira/browse/SOLR-9186
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>
> SOLR-8492 optimizes a logistic regression model for numeric fields. While this is interesting, I think it would be more interesting to build logistic regression models on text within an inverted index.
> This ticket will use the same *parallel iterative framework* as SOLR-8492, but different data access patterns on the shards, to optimize a logistic regression model on text.
> This will support use cases such as building models for spam detection, sentiment analysis and threat detection.



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