What is a Feature Store?
A machine learning infrastructure tool that handles offline and online feature transformations. Think of them as the interface between your models and data.
Feature stores are used to:
- Serve as the central source for feature transformations
- Allow for the same feature transformations to be used in both offline training and online serving
- Enable team members to share their transformations for experimentation
- Provide a strong versioning for feature transformation code