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https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13958742#comment-13958742
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Sean Owen commented on SPARK-1406:
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Yes, I was going to say, there's already a pretty good implementation of this.
Why not simply call pmml-evaluator from within a Spark-based app to do scoring?
does it really need any particular support in MLlib?
MLlib does not create PMML right now, which would seem like to something to
tackle before scoring them anyway.
I have a meta-concern about piling on scope at such an early stage.
> PMML model evaluation support via MLib
> --------------------------------------
>
> Key: SPARK-1406
> URL: https://issues.apache.org/jira/browse/SPARK-1406
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Thomas Darimont
>
> It would be useful if spark would provide support the evaluation of PMML
> models (http://www.dmg.org/v4-2/GeneralStructure.html).
> This would allow to use analytical models that were created with a
> statistical modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which
> would perform the actual model evaluation for a given input tuple. The PMML
> model would then just contain the "parameterization" of an analytical model.
> Other projects like JPMML-Evaluator do a similar thing.
> https://github.com/jpmml/jpmml/tree/master/pmml-evaluator
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