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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use docker for batch transform on mleap serialized model #18

Open hafsabukhary opened 3 years ago

hafsabukhary commented 3 years ago

Hi! How can this container be used for batch transfrom in sagemaker. Because my env variable holds schema for 561 columns which is very long. to pass as env variable. I was following this tutorial https://sagemaker-examples.readthedocs.io/en/latest/sagemaker-python-sdk/sparkml_serving_emr_mleap_abalone/sparkml_serving_emr_mleap_abalone.html