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https://issues.apache.org/jira/browse/SPARK-5564?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14388128#comment-14388128
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Debasish Das commented on SPARK-5564:
-------------------------------------
[~sparks] we are trying to access the EC2 dataset but giving error:
[ec2-user@ip-172-31-38-56 ~]$ aws s3 ls
s3://files.sparks.requester.pays/enwiki_category_text/
A client error (AccessDenied) occurred when calling the ListObjects operation:
Access Denied
Could you please take a look if it is still available for use ?
> Support sparse LDA solutions
> ----------------------------
>
> Key: SPARK-5564
> URL: https://issues.apache.org/jira/browse/SPARK-5564
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.0
> Reporter: Joseph K. Bradley
>
> Latent Dirichlet Allocation (LDA) currently requires that the priors’
> concentration parameters be > 1.0. It should support values > 0.0, which
> should encourage sparser topics (phi) and document-topic distributions
> (theta).
> For EM, this will require adding a projection to the M-step, as in: Vorontsov
> and Potapenko. "Tutorial on Probabilistic Topic Modeling : Additive
> Regularization for Stochastic Matrix Factorization." 2014.
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