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Feast's key features include the ability to store and register features from batch and stream sources, transform features on demand, and generate training data. They also offer online serving for real-time inference and integration with various data sources and cloud platforms. Feast aims to improve the ML workflow by providing consistent feature management across environments.
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Products and Features
Feast's key features include the ability to store and register features from batch and stream sources, transform features on demand, and generate training data. They also offer online serving for real-time inference and integration with various data sources and cloud platforms. Feast aims to improve the ML workflow by providing consistent feature management across environments.
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Latest Events at Feast
Feast: Feature Store for Machine Learning
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
View sourcefeast-dev/feast: The Open Source Feature Store for ... - GitHub
Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Feast allows ML platform ...
View sourceThe Future of Feast - Feast
Feb 23, 2024 ... Feast, the OSS feature store, gears up for major developments as the project moves to 1.0, welcoming new maintainers from Affirm, Red Hat, ...
View sourceFeast: Introduction
May 25, 2024 ... Feast helps ML platform teams with DevOps experience productionize real-time models. ... describes all important Feast API concepts. Architecture ...
View sourceTransform Your Ideas into Action in Minutes with WaxWing
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