Create SageMaker Pipelines for training, consuming and monitoring your batch use cases Shelbee Eigenbrode AWS Machine Learning Blog
Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running… Read More »Create SageMaker Pipelines for training, consuming and monitoring your batch use cases Shelbee Eigenbrode AWS Machine Learning Blog