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Posted to issues@spark.apache.org by "yuhao yang (JIRA)" <ji...@apache.org> on 2015/04/23 13:39:38 UTC

[jira] [Created] (SPARK-7090) Introduce LDAOptimizer to LDA to improve extensibility

yuhao yang created SPARK-7090:
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             Summary: 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


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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