The Three Things You Must Version
Identify why code-only version control is insufficient for ML work.
If you cannot name the data snapshot, you cannot reproduce the model. The Three-Version Rule MLOps reproduction needs code versioning, data versioning, and model/artifact versioning. Code explains the procedure. Data explains the input state. Model artifacts explain the trained outcome. Metrics and parameters connect the three. Why It Works This creates a chain of custody. A future engineer can rerun, compare, or roll back without relying on memory. It also prevents metric debates from becoming personal: the run either used the declared data and parameters or it did not. Common Trap A repo with clean Git history can still be…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in