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Documentation Index

Fetch the complete documentation index at: https://docs.wyvern.ai/llms.txt

Use this file to discover all available pages before exploring further.

Wyvern’s feature engineering solution is built on top of the open source feature store solution feast and provides the following functionalities:
  1. Feature registry
  2. Online features: storing feature data in cache real-time model inference
  3. Near real-time materialization: once your feature data shows up in your data warehouse, materialization happens right after and update the online feature store real-time model inference
  4. Historical features: it provides get_historical_features interface, which not only covers offline features from the original features table but also covers the real-time features logged back to your data warehouse.

Wyvern Feature Store

Similar to the Wyvern application, Wyvern Feature Store is also built with FastAPI. To run the feature store server:
from wyvern import generate_wyvern_store_app

feature_store_app = generate_wyvern_store_app(path="path_to_feature_repo")
Now run:
uvicorn features.main:app

APIs

oneline feature API

The default API path is /feature/get-online-features. You can also configure the path with the WYVERN_ONLINE_FEATURES_PATH environment var.

historical feature API

The default API path is /feature/get-historical-features. You can also configure the path with the WYVERN_HISTORICAL_FEATURES_PATH environment var. Let’s go to the next page to learn more.