Feature Store
A feature store is a centralized data system that stores, manages, and serves the engineered features used to train and run machine learning models, ensuring consistency between the features used during training and those used during live inference.
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Glossary Terms(4)
Feature Engineering
Feature engineering is the process of using domain knowledge to select, transform, and create the input variables (features) that a machine learning model is t…
Feature Store
A feature store is a centralized data system that stores, manages, and serves the engineered features used to train and run machine learning models, ensuring c…
Model Registry
A model registry is a centralized system for storing, versioning, and tracking machine learning models throughout their lifecycle, recording metadata such as t…
Data Drift
Data drift is a change in the statistical distribution of a machine learning model's input data over time, which can degrade model performance even if the unde…