[jira] Resolved: (MAHOUT-458) The LDA output does not include the topic-probability distribution per document (p(z|d)). It outputs only the topics and corresponding words.

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved MAHOUT-458.
------------------------------

      Assignee: Jeff Eastman
    Resolution: Fixed

> The LDA output does not include the topic-probability distribution per document (p(z|d)). It outputs only the topics and corresponding words.
> ---------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: MAHOUT-458
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-458
>             Project: Mahout
>          Issue Type: Improvement
>          Components: Clustering
>    Affects Versions: 0.4
>            Reporter: Himanshu Gahlot
>            Assignee: Jeff Eastman
>             Fix For: 0.4
>
>         Attachments: MAHOUT-458.patch
>
>
> The current implementation of LDA outputs only topics and their words. Many applications need the p(z|d) values of a document to use this vector as a reduced representation of the document (dimensionality reduction of document). We need to introduce a new key which would keep track of the gamma values for each document (as obtained from the document.infer() method) and writes these to the output stream and finally, PrintLDATopics should output these values per document id. Also, outputting the probabilities of words in a topic would also provide a more meaningful output.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.