cid 528a859201454f637ce65a6337c53f6ca9e0c6ef99ae87efe07599616328abe7 · original · open access · via openalex
Title: MLflow Beginner's Guide: How to Get Started with MLflow Authors: Wendi Fan Venue: Year: 2024 Canonical: doi:10.59350/mscpx-qd923 URL: https://doi.org/10.59350/mscpx-qd923 Collector: openalex OA: true ABSTRACT Introduction MLflow is an open-source platform designed to manage the entire lifecycle of machine learning projects. It helps developers and data scientists streamline their workflows by tracking experiments, managing models, and deploying them efficiently. MLflow's core components include: MLflow Tracking : This component enables the logging and querying of machine learning experiments' parameters, metrics, and models.