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Posted to issues@spark.apache.org by "Guoqiang Li (JIRA)" <ji...@apache.org> on 2015/05/06 08:46:00 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=14530029#comment-14530029 ]
Guoqiang Li commented on SPARK-5556:
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[FastLDA|https://github.com/witgo/zen/blob/1c0f6c63a0b67569aeefba3f767acf1ac93c7a7c/ml/src/main/scala/com/github/cloudml/zen/ml/clustering/LDA.scala#L553]: Gibbs sampling,The computational complexity is O(n_dk), n_dk is the number of topic (unique) in document d. I recommend to be used for short text
[LightLDA|https://github.com/witgo/zen/blob/1c0f6c63a0b67569aeefba3f767acf1ac93c7a7c/ml/src/main/scala/com/github/cloudml/zen/ml/clustering/LDA.scala#L763] Metropolis Hasting sampling The computational complexity is O(1)(It depends on the partition strategy and takes up more memory).
> 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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