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Xiangrui Meng commented on SPARK-1406: -------------------------------------- I think we should support PMML import/export in MLlib. PMML also provides feature transformations, which MLlib has very limited support at this time. The question is 1) how we take leverage on existing PMML packages, 2) how many people volunteer. Sean, it would be super helpful if you can share some experience on Oryx's PMML support, since I'm also not sure about whether this is the right time to start. > 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 -- This message was sent by Atlassian JIRA (v6.2#6252)