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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/07/30 22:18:07 UTC

[jira] [Updated] (SPARK-5567) Add prediction methods to LDA

     [ https://issues.apache.org/jira/browse/SPARK-5567?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-5567:
-------------------------------------
    Assignee: Feynman Liang

> Add prediction methods to LDA
> -----------------------------
>
>                 Key: SPARK-5567
>                 URL: https://issues.apache.org/jira/browse/SPARK-5567
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>            Assignee: Feynman Liang
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> LDA currently supports prediction on the training set.  E.g., you can call logLikelihood and topicDistributions to get that info for the training data.  However, it should support the same functionality for new (test) documents.
> This will require inference but should be able to use the same code, with a few modification to keep the inferred topics fixed.
> Note: The API for these methods is already in the code but is commented out.



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