Focus on this objective today: Manage models: Register an MLflow model. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Train and track machine learning models with MLflow in Microsoft Fabric Module 7 Units Feedback Beginner Data Analyst Data Engineer Data Scientist Microsoft Fabric In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow. Learning objectives In this module, you'll learn how to: Train machine learning models with open-source frameworks Train models with notebooks in Microsoft Fabric Track model training metrics with MLflow and experiments in Microsoft Fabric Add Prerequisites Before starting this module, you should be familiar with the data science process. Introduction min Understand how to train machine learning models min Train and track models with MLflow and experiments min Manage models in Microsoft Fabric min Exercise - Train and track a model in Microsoft Fabric min Module assessment min Summary min Take the module assessment Module Assessment Results Assess your understanding of this module.
Objective
Manage models: Register an MLflow model