Explanation:
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.
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What does the mlflow.register_model(model_uri=model_uri, name=model_name) function return when registering a model in the MLflow Model Registry?
A
The model‘s code.
B
The model‘s training history.
C
The model‘s version.
D
The model‘s metadata.
E
The model‘s details, including its name and version.