sagemaker-sparkml-serving-container
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use docker for batch transform on mleap serialized model
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