SESK: Stuff Everyone Should Know · sesk.info/ai-mlops-version-everything
What must be versioned to reproduce an ML result?
The code, data, configuration, environment, and model artifact.
- The full training lineage ✔
- Only the final accuracy
- Only the model file name
Why: A model artifact alone does not reveal how it was made. Reproducibility requires the pipeline inputs and environment plus metadata linking them to the resulting model.
Huh, didn't know that: A model registry and an ML metadata store serve different but complementary tracking roles.
The experiment forgot its version and had an identity crisis.
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References
Answer: The full training lineage. A model artifact alone does not reveal how it was made. Reproducibility requires the pipeline inputs and environment plus metadata linking them to the resulting model.
- Google Cloud MLOps Guide docs.cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning
ML metadata store records the following metadata: The pipeline and component versions that were executed.
Checked 2026-10-10.
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