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https://issues.apache.org/jira/browse/SPARK-1406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Darimont updated SPARK-1406:
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Description:
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
was:
It would be useful if spark would support the evaluation of PMML models
(http://www.dmg.org/v4-2/GeneralStructure.html).
This would allow to use an analytical model that was created via an statistical
modeling tool like R, SAS, SPSS, etc. with Spark (MLib) which could perform the
actual model evaluation for a given input tuple.
Other projects like JPMML-Evaluator do a similar thing.
https://github.com/jpmml/jpmml/tree/master/pmml-evaluator
> PMML Support
> ------------
>
> 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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