AI engineering glossary · Feature engineering data prep
What is window feature?
Window feature: A feature calculated over a fixed span of recent history, such as the sum of purchases in the last 7 days. Time windows capture recent behaviour and trends and must only use data available before the prediction time.
Window feature: an example
For a churn model, sessions_last_7d and sessions_last_30d are window features; a sharp drop between them signals waning interest.
Related terms
More Feature engineering data prep terms
- Winsorization
- Wrapper method
- Yeo-Johnson transform
- ADASYN
- Aggregation feature
- ANOVA F-test
- Automated feature engineering
- Backward elimination
Where you learn it
Window feature is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.