Kubeflow

Kubeflow machine-learning workflow from notebook exploration through training, evaluation and serving.
Conceptual Kubeflow ML pipeline from exploration to serving; no model scores or performance claims.

Kubeflow (Github, Docs) is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving.

Conceptual overview

Components in the ML workflow

Examples

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