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Posted to issues@spark.apache.org by "Joey Frazee (JIRA)" <ji...@apache.org> on 2018/04/10 17:59:00 UTC
[jira] [Commented] (SPARK-8696) Streaming API for Online LDA
[ https://issues.apache.org/jira/browse/SPARK-8696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432686#comment-16432686 ]
Joey Frazee commented on SPARK-8696:
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Is there still interest in this? The two use cases I've seen for this are (1) low latency, or near real-time topic generation -- imagine a dashboard or process depending on _always_ up-to-date topic dist. -- and (2) desire to do updates rather than fitting the entire dataset again because it's very large or very expensive to pre-process – though maybe merely having topic-word priors such as suggested in SPARK-9134 could be a good enough alternative for this second use case. I've seen both of those requirements appear in tandem.
> Streaming API for Online LDA
> ----------------------------
>
> Key: SPARK-8696
> URL: https://issues.apache.org/jira/browse/SPARK-8696
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: yuhao yang
> Priority: Major
>
> Streaming LDA can be a natural extension from online LDA.
> Yet for now we need to settle down the implementation for LDA prediction, to support the predictOn method in the streaming version.
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