Support for Spark ml 2.4.3

aws / sagemaker-sparkml-serving-container

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

Apache License 2.0

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Support for Spark ml 2.4.3 #10

Open sajjap opened 4 years ago

sajjap commented 4 years ago

Hello, is there a plan to upgrade the sparkml serving containers to support pipeline models generated using Spark 2.4.3 and serialized using Mleap 0.14.0. Greatly appreciate if some could please share your plan. Thank you.

vincentclaes commented 4 years ago

+1 : glue 1.0 has spark 2.4.3 version. In glue we create a sparkml pipeline object. it would be great if there would be a sagemaker sparkml container with the same spark version so that we can serve our pipeline model.