AWS Step Functions Data Science Python SDK¶
The AWS Step Functions Data Science SDK is an open source library that allows data scientists to easily create workflows that process and publish machine learning models using AWS SageMaker and AWS Step Functions. You can create multi-step machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately.
In addition to creating production-ready workflows directly in Python, the AWS Step Functions Data Science SDK allows you to copy that workflow, experiment with new options, and then put the refined workflow in production.
The following topics cover how the AWS Step Functions Data Science SDK integrates with with AWS services to help process and publish machine learning (ML) models using Python.
- AWS Step Functions Data Science SDK
- Table of Contents
- Getting Started With Sample Jupyter Notebooks
- Installing the AWS Step Functions Data Science SDK
- Overview of SDK
- Building a Workflow
- Running a Workflow
- AWS Permissions
- Verifying the Signature
The AWS Step Functions Data Science SDK consists of a few primary modules.