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Posted to issues@spark.apache.org by "Jason Dai (JIRA)" <ji...@apache.org> on 2015/08/12 01:19:47 UTC
[jira] [Commented] (SPARK-5556) Latent Dirichlet Allocation (LDA)
using Gibbs sampler
[ https://issues.apache.org/jira/browse/SPARK-5556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14692469#comment-14692469 ]
Jason Dai commented on SPARK-5556:
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[~pedrorodriguez] I wonder if you have made any progress on the LDA package.
We have actually built a package of topic modeling algorithms for our use cases, which contains Gibbs Sampling LDA (adapted to the MLlib LDA interface based on the PRs/codes from [~pedrorodriguez] and [~gq], including AliasLDA, SparseLDA, LightLDA and FastLDA algorithms), as well as Hierarchical LDA (implemented by [~yuhaoyan] from our team). We can also share that package for people to try different algorithms.
> Latent Dirichlet Allocation (LDA) using Gibbs sampler
> ------------------------------------------------------
>
> Key: SPARK-5556
> URL: https://issues.apache.org/jira/browse/SPARK-5556
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Guoqiang Li
> Assignee: Pedro Rodriguez
> Attachments: LDA_test.xlsx, spark-summit.pptx
>
>
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