From manual to continuous
Early on a person reruns training by hand. A continuous training pipeline automates the full path from new data to a validated, registered model, kicked off by a schedule or an event.
The automated loop
- A trigger starts the run, such as a nightly schedule or a drift alarm.
- The pipeline pulls fresh data, validates it, and engineers features.
- It trains a candidate and evaluates it against the current production model.
- If the candidate wins, it is registered and optionally promoted.
The crucial gate
Continuous training does not mean blind deployment. Every candidate must beat the incumbent on held out data before it can be promoted. A worse model is logged and discarded.
Why automate
Manual retraining is slow and forgotten under pressure. Automation keeps the model current, makes retraining auditable, and frees engineers from babysitting runs.
Key idea
A continuous training pipeline automatically retrains, evaluates, and gates a candidate against the incumbent on a trigger, keeping models fresh without manual runs.