Empower the Data Team: Wyvern is tailored for your data team to independently build and deploy production-grade machine learning pipelines for the e-commerce and marketplace industry, …

The request sends 24 products to Wyvern. Wyvern ranks these products and returns the 8 products (in descending order) to show on the first page ("user_page": 0). You should see a …

The feature types are defined in wyvern/wyvern_typing.py. The FeatureStoreRetrievalComponent is a singleton and can be accessed via feature_store_retrieval_component.

Next, let’s see how data hydration and feature retrieval work to understand how and why Wyvern can make it easy to orchestrates ML features. We will come back to talk about how to set up a …

Wyvern is a machine learning platform that empowers data scientists to independently build and deploy production-grade machine learning pipelines for the e-commerce industry, reducing the …

Wyvern makes it so much easier to define and auto retrieve features you need as well as connecting to your model, whether it’s a model that’s served from another service or a model …

wyvern redis Starts Redis server. This command will also install redis locally if it’s not installed.

The creator of Wyvern, Suchintan, built the ML Platform at Faire and Gopuff to improve their Search and Discovery experience. At both places, the platform became an engine that …

Wyvern automates the retrieval of all the features required by your pipeline from the feature store and store the features in memory per request during model inference.

Wyvern’s feature engineering solution is built on top of the open source feature store solution feast and provides the following functionalities: Feature registry