The launcher.py script is not intended to be modified by users. This script serves as a universal entrypoint for SageMaker training jobs and handles Ray cluster setup, coordination between nodes, and ...
SageMaker SparkML Serving Container lets you deploy an Apache Spark ML Pipeline in Amazon SageMaker for real-time, batch prediction and inference pipeline use-cases. The container can be used to ...
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