How does a feature store work in production ML?hard
Answer
A feature store centralizes computed features for reuse across models, ensuring training-serving consistency.
Explanation
A feature store centralizes computed features for reuse across models, ensuring training-serving consistency. SageMaker Feature Store has online (low-latency serving) and offline (S3-backed for training) stores. In price markdown optimization, features like rolling demand, sell-through rate, and days-to-expiry were precomputed offline for batch model training.
Follow-upWhat tradeoffs did you consider in that implementation?