Pipelines

Introduction to Kubeflow Pipelines

Kubeflow Pipelines is a platform for building and deploying portable andscalable end-to-end ML workflows, based on containers.

The Kubeflow Pipelines platform has the following goals:

• End-to-end orchestration: enabling and simplifying the orchestration ofmachine learning pipelines.
• Easy experimentation: making it easy for you to try numerous ideas andtechniques and manage your various trials/experiments.
• Easy re-use: enabling you to re-use components and pipelines to quicklycobble together end-to-end solutions, without having to rebuild each time.

Read more in the pipelines section of the documentation.

Feedback

Was this page helpful?

Glad to hear it! Please tell us how we can improve.

Sorry to hear that. Please tell us how we can improve.

Last modified 13.07.2019: Improve organization of Kubeflow components (#920) (e1105bae)