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.
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