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
of the documentation.