Version v0.7 of the documentation is no longer actively maintained. The site that you are currently viewing is an archived snapshot. For up-to-date documentation, see the latest version.
Kubeflow Pipelines is a platform for building and deploying portable and scalable 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 of machine learning pipelines.
- Easy experimentation: making it easy for you to try numerous ideas and techniques and manage your various trials/experiments.
- Easy re-use: enabling you to re-use components and pipelines to quickly cobble together end-to-end solutions, without having to rebuild each time.
Read more in the pipelines section of the documentation.
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.