Feature Store

What is a Feature Store?

A feature store is a data system that is designed for machine learning applications. It allows you to store, manage, and serve features, which are data attributes that are used as inputs for machine learning models. For example, if you want to build a model that predicts the price of a house, some features could be the size, location, number of rooms, and age of the house.

A feature store has several benefits for machine learning development and deployment, such as:

• It enables you to reuse features across different models and projects, saving time and effort in data preparation and engineering.

• It ensures consistency and quality of features between training and inference, avoiding data drift and skew issues that can degrade model performance.