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Amazon SageMaker Feature Store now supports feature metadata and search

Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference workflows. A feature group is a logical grouping of ML features whose organization and structure is defined by a feature group schema. Until today, customers could add metadata tags only to feature groups which in turn enabled easy search and discovery of a feature group. To search for a specific feature however was more complicated. Customers needed to know which feature group the feature belongs and then scan for the relevant feature in the feature group, leading to additional overhead while searching for features..

Source:: Amazon AWS