Explanation:
Specifying the registered_model_name parameter when calling mlflow.sklearn.log_model logs the model and simultaneously registers it with the MLflow Model Registry. If the model name already exists in the registry, a new version of the model is added under that name. Therefore, this parameter indicates that a new version of the model, referred to by model_name, will be registered in the MLflow Model Registry.
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When using mlflow.sklearn.log_model in MLflow, what is the significance of specifying the registered_model_name parameter?
A
It means the model will not be logged in the Model Registry.
B
It indicates that the model will be registered under a completely different name, unrelated to model_name.
C
It signifies that a new version of the model, with the specified name, will be registered in the MLflow Model Registry.
D
It has no effect on the Model Registry.