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https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14322332#comment-14322332
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Manoj Kumar commented on SPARK-5016:
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[~mengxr] Can you please clarify a few things.
1. How to key the BreezeData in order to effect parallelization across k
gaussians. (considering the fact that it is a soft assignment)?
2. Even if we are able to do so, there are a few lines of code corresponding to
the log-likelihood computation as pointed by [~tgaloppo] , which are
interdependent, How can that be done?
> GaussianMixtureEM should distribute matrix inverse for large numFeatures, k
> ---------------------------------------------------------------------------
>
> Key: SPARK-5016
> URL: https://issues.apache.org/jira/browse/SPARK-5016
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
>
> If numFeatures or k are large, GMM EM should distribute the matrix inverse
> computation for Gaussian initialization.
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