Model Registry

MLflow

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, reproducible packaging of code, a mode…

AI Governance

AI governance is the set of policies, processes, roles, and controls that organizations and regulators put in place to ensure AI systems are developed and used…

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…

Model Drift

Model drift (also called concept drift) is the gradual decline in a machine learning model's predictive performance over time, occurring because the real-world…

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…

MLflow Cheat Sheet

A reference for MLflow's experiment tracking, model registry, and CLI commands used to log, compare, and deploy machine learning models.