The architecture above is a working flow demonstration when using F2AI but not technical architecture.
- Install F2AI
F2AI (Feature Store to AI) is a time centric productivity data utils that re-uses existing infrastructure to get features more consistently though different stages of AI development.
F2AI is focusing on:
- Consistent API to get features for training and serving: Powered by well encapsulated OfflineStore and OnlineStore, the features are strictly managed by F2AI, and keep the same structure not only when training models, but also inference.
- Prevent feature leakage by effective point-in-time join that reduce the cumbersome works to get features ready when experimenting a feature combinations or AI model.
- Build-in supported period feature that allows 2 dimensional features can be retrieved easily. This is useful when facing some deep learning tasks like, time series forecasting.
- Infrastructure unawareness by different infrastructure implementations, switching between different data storage is simply changing the configuration. The AI model will works well like before.
Note
This is a working flow when using F2AI instead of technical architecture.