What must be versioned to reproduce an ML result?

The code, data, configuration, environment, and model artifact.

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  1. The full training lineage ✔
  2. Only the final accuracy
  3. 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 dad joke
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.

  1. 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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