Pipelines
Introduction to Kubeflow Pipelines
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.
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 21.04.2020: Restructured the website repo to allow for future i18n and content translation (#1909) (d0bd0e03)