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

There is now a new feature in SageMaker, called inference pipelines. This lets you build a linear sequence of two to five containers that pre/post-process requests. The whole pipeline is then deployed on a single endpoint.

https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipelines.html