This tutorial implements the following AWS architecture for handling a SageMaker Batch Transformer.

The transformer generates an event that kicks off a Lambda function. The transformer generates the model inputs and predictions used by the lambda function.

A separate process is assumed to process actuals as they are received in the system.

The below file is a Jupyter notebook file that should be uploaded the the Sagemaker Notebook Instance.

The Notebook file builds a lambda package in a Gzip to upload to AWS. The below file is the Lambda python function, this should be uploaded to a SageMaker Notebook Instance along with the above notebook.

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