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https://issues.apache.org/jira/browse/MAHOUT-458?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12916477#action_12916477
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Sean Owen commented on MAHOUT-458:
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Jeff says: "We agreed and this has all been changed in trunk. Now all
clustering drivers share common arguments where possible and inherit from
AbstractJob for uniformity in CLI invocation."
Can this be marked resolved then?
> 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
> 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.
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