Software Development

ZenML

ZenML is an open-source Python framework for writing machine learning pipelines as typed steps whose inputs and outputs are versioned automatically, and for running the same code locally or on Kubernetes, Airflow, SageMaker and other backends. Use when a user asks to "build an ML pipeline", "track model training runs and artifacts", "make my training script reproducible", "version datasets and models", or "run a pipeline on a different stack". Covers @step and @pipeline, zenml init, stacks, run configs, artifacts, the Model control plane and the CLI.

Publisher / source
TerminalSkills Library
Upstream record
TerminalSkills/skills
Version
Version 1
Published
Publication review
Approved for publication
Content fingerprint
a969b4b0e919af3d4e124d14e274cd716be2e70646c02b695710472461aa5d1f