A feature store is an organizational asset for preserving useful feature definitions and making their use consistent across machine-learning projects. Its value grows when feature engineering requires domain insight and substantial effort. section 7.2
Treat the feature store as part of delivery planning:
- Confirm where it will be hosted alongside the model repository, artifact-transfer tools, and data-pipeline infrastructure. section 2.7.1
- Check access arrangements, environment transitions, testing requirements, ownership, approvals, and the effort needed to establish supporting systems. section 2.7.1
- Capture high-value domain features so later projects can reuse them and apply data consistently. section 7.2
Reusable sensor-position feature
A previous project’s expression of a sensor’s position in a building becomes a reusable feature, preserving domain insight and supporting more consistent model behavior. section 7.2
