What does the Amazon SageMaker Feature Store provide?

The Amazon SageMaker Feature Store is specifically designed to serve as a fully managed storage solution for machine learning features. This means it allows data scientists and developers to store, retrieve, and manage features that can be used in machine learning models. The feature store centralizes the management of these features, ensuring they are available for both training and serving predictions, which streamlines the process of feature engineering and improves collaboration among teams.

By providing a dedicated service for feature management, SageMaker Feature Store helps maintain consistency across features used in various machine learning projects. It also facilitates the reuse of features, which can significantly accelerate the development of machine learning models.

In contrast, the other options refer to different concepts or services:

• A repository for storing data lakes pertains to broader data storage solutions that are not specific to machine learning features.

• An online marketplace for ML models suggests a platform where users could buy and sell models, which does not align with the functionality of the feature store.

• An open-source library for data analysis implies a tool for performing analysis rather than managing and storing features tailored for machine learning applications.