Machine learning (ML) pipelines are used by data scientists to build, optimize, and manage their machine learning workflows. A typical pipeline involves a sequence of steps that cover the following areas:
The Azure Machine Learning SDK for Python can be used to create ML pipelines as well as to submit and track individual pipeline runs.
Module and ModuleVersion classes are added to manage reusable compute units in pipelines.
FAQs
Used to build, optimize, and manage their machine learning workflows.
We found that azureml-pipeline demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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