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https://issues.apache.org/jira/browse/SPARK-7090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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yuhao yang updated SPARK-7090:
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Summary: Introduce LDAOptimizer to LDA to improve extensibility (was:
Introduce LDAOptimizer to LDA to improve extensibility)
> Introduce LDAOptimizer to LDA to improve extensibility
> -------------------------------------------------------
>
> Key: SPARK-7090
> URL: https://issues.apache.org/jira/browse/SPARK-7090
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.3.1
> Reporter: yuhao yang
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> LDA was implemented with extensibility in mind. And with the development of
> OnlineLDA and Gibbs Sampling, we are collecting more detailed requirements
> from different algorithms.
> As Joseph Bradley proposed in https://github.com/apache/spark/pull/4807 and
> with some further discussion, we'd like to adjust the code structure a little
> to present the common interface and extension point clearly.
> Basically class LDA would be a common entrance for LDA computing. And each
> LDA object will refer to a LDAOptimizer for the concrete algorithm
> implementation. Users can customize LDAOptimizer with specific parameters and
> assign it to LDA.
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