Sagemaker scriptprocessor. The following procedure show you how to create an instance of ScriptProc...

Sagemaker scriptprocessor. The following procedure show you how to create an instance of ScriptProcessor and submit a Amazon SageMaker Processing job using the SageMaker geospatial container. . The workflow shows how to create your own image, build your container, and use a ScriptProcessor class to run a Python preprocessing script with the container. Apr 18, 2025 · When using the ScriptProcessor class, you can run Python scripts easily by specifying the script file via the code argument. Amazon SageMaker Processing allows you to run steps for data pre- or post-processing, feature engineering, data validation, or model evaluation workloads on Amazon SageMaker. The ScriptProcessor handles Amazon SageMaker Processing tasks for jobs using a machine learning framework, which allows for providing a script to be run as part of the Processing Job. Aug 19, 2025 · An extension of the Amazon SageMaker ScriptProcessor that adds support for bundling a local source_dir (and optional dependencies) into a tarball, uploading it to S3, and running it inside SageMaker Processing jobs. This class is optimized for running Python scripts inside containers Nov 28, 2022 · Exploring the Sagemaker Python SDK and trying to setup a minimal pipeline: A custom python script which reads two csv files from S3 folder, processes data and writes a single file back to S3. aflp lqvff nnmzd oowvsj pjosbrda hzqjs sleif dnsjdd sweood lvpd