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        Sarah Maddox edited this page Nov 28, 2018 
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    Kubeflow Pipelines is the platform for building and deploying portable and scalable end-to-end ML workflows, based on containers. The Kubeflow Pipelines platform consists of:
- User interface for managing and tracking experiments, jobs, and runs
- Engine for scheduling multi-step ML workflows
- SDK for defining and manipulating pipelines and components
- Notebooks for interacting with the system using the SDK
Please refer to the Kubeflow Pipelines documentation. In particular:
The following guides are for people contributing to the Kubeflow Pipelines software: