When and how do you retrain a production model?
mediumAnswer
- Trigger retraining on time (weekly/monthly), on data volume (X new labeled samples), or on drift/performance drop alerts.
- Automate with a pipeline: ingest data, validate schema, compute features, train, evaluate against baseline on holdout + business KPIs, register model, run shadow/canary, promote.
- Always keep a fast rollback path and store the exact data + code that produced the model (lineage).
Check yourself — multiple choice
- Retraining should always be manual
- Retraining can be triggered by drift or performance drops
- A rollback plan is unnecessary
- Model lineage tracking is optional in regulated industries
Trigger on drift, schedule, or drop in metrics; automate with guardrails.
#mlops#pipeline
Practise MLOps & Data Quality
215 interview questions in this topic.