[jira] [Commented] (SPARK-1406) PMML model evaluation support via MLib

["Vincenzo Selvaggio (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14091738#comment-14091738 ] 

Vincenzo Selvaggio commented on SPARK-1406:
-------------------------------------------

I agree with Sean, I could see the export to PMML quite useful as it will decouple an application (wanting only to do scoring) from the evaluation of the model that can run on a full blown Spark cluster.

However, I am not sure about using JPMML to generate the PMML, for sure it will be the easier option, but what about licensing? 
https://github.com/jpmml/jpmml-model is BSD 3-Clause while of course Spark is Apache 2.0.

> 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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