The mlflow.register_model(model_uri=model_uri, name=model_name) function in MLflow Model Registry returns the model‘s details, including its name and version, indicating a successful registration. This does not include the model‘s code, training history, or metadata directly. The function is designed to register the model within the Model Registry for tracking purposes, providing a name and version number. Other details like the model‘s code and training history are managed separately within your MLflow setup.