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

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-1406.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.0

Issue resolved by pull request 3062
[https://github.com/apache/spark/pull/3062]

> 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
>            Assignee: Vincenzo Selvaggio
>             Fix For: 1.4.0
>
>         Attachments: MyJPMMLEval.java, SPARK-1406.pdf, SPARK-1406_v2.pdf, kmeans.xml
>
>
> 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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