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Showing results for tags 'feast'.
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Feast is an ML feature store. It helps store, manage, and serve features for machine learning models across the key stages of the ML model development process. It also integrates with multiple database backends and ML frameworks that can work across or off cloud platforms. In this post, we’ll provide an introductory tutorial for building an ecommerce reranking model for product recommendations using Feast on Google Cloud... View the full article -
Data scientists and other ML practitioners are increasingly relying on a new kind of data platform: the ML feature store. This specialized offering can help organizations simplify the management of their ML feature data and make their ML model development efforts more scalable. Feature stores take on the core tasks of managing the code that organizations use to generate ML features, running this code on unprocessed data, and deploying these features to production in user-facing applications. Feature stores typically integrate with a data warehouse, object storage, and an operational storage system for application serving... View the full article
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