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https://issues.apache.org/jira/browse/SPARK-17847?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang resolved SPARK-17847.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.2.0
> Reduce shuffled data size of GaussianMixture & copy the implementation from
> mllib to ml
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-17847
> URL: https://issues.apache.org/jira/browse/SPARK-17847
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Fix For: 2.2.0
>
>
> Copy {{GaussianMixture}} implementation from mllib to ml, then we can add new
> features to it.
> I left mllib {{GaussianMixture}} untouched, unlike some other algorithms to
> wrap the ml implementation. For the following reasons:
> * mllib {{GaussianMixture}} allow k == 1, but ml does not.
> * mllib {{GaussianMixture}} supports setting initial model, but ml does not
> support currently. (We will definitely add this feature for ml in the future)
> Meanwhile, There is a big performance improvement for {{GaussianMixture}} in
> this task. Since the covariance matrix of multivariate gaussian distribution
> is symmetric, we can only store the upper triangular part of the matrix and
> it will greatly reduce the shuffled data size.
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