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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-11566) Refactoring GaussianMixtureModel.gaussians in Python
Date Sat, 07 Nov 2015 01:48:11 GMT

    [ https://issues.apache.org/jira/browse/SPARK-11566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14994862#comment-14994862
] 

Apache Spark commented on SPARK-11566:
--------------------------------------

User 'yu-iskw' has created a pull request for this issue:
https://github.com/apache/spark/pull/9534

> Refactoring GaussianMixtureModel.gaussians in Python
> ----------------------------------------------------
>
>                 Key: SPARK-11566
>                 URL: https://issues.apache.org/jira/browse/SPARK-11566
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib, PySpark
>    Affects Versions: 1.5.1
>            Reporter: Yu Ishikawa
>            Priority: Trivial
>
> We could also implement {{GaussianMixtureModelWrapper.gaussians}} in Scala with {{SerDe.dumps}},
instead of returning Java {{Object}}. So, it would be a little simpler and more efficient.



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