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This template demonstrates Feast's Ray integration, showcasing both the Ray Offline Store and Ray Compute Engine capabilities for distributed feature processing.
ray_template/ ├── feature_repo/ │ ├── feature_store.yaml # Ray offline store + compute engine config │ ├── feature_definitions.py # Feature definitions with Ray optimizations │ ├── test_workflow.py # Demo script showing Ray capabilities │ └── data/ # Sample datasets (generated by bootstrap) │ ├── driver_stats.parquet │ └── customer_daily_profile.parquet └── README.md # This file
Initialize the template:
feast init -t ray my_ray_project
cd my_ray_project/feature_repoInstall Ray dependencies:
pip install feast[ray]Apply feature definitions:
feast applyRun the demo:
python test_workflow.py| Back | FazBrowse Home | New Git URL |