how can I preprocess input data before making predictions in sagemaker?

Question

I am calling a Sagemaker endpoint using java Sagemaker SDK. The data that I am sending needs little cleaning before the model can use it for prediction. How can I do that in

Answer 1

One option is to put your pre-processing code as part of an AWS Lambda function and use that Lambda to call the invoke-endpoint of SageMaker, once the pre-processing is done. AWS Lambda supports Python and it should be easy to have the same code that you have in your Jupyter notebook, also within that Lambda function. You can also use that Lambda to call external services such as DynamoDB for lookups for data enrichment.

You can find more information in the SageMaker documentations: https://docs.aws.amazon.com/sagemaker/latest/dg/getting-started-client-app.html