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A data scientist is utilizing MLflow for experiment tracking. They aim to store parameters, metrics, and tags for a model training run. Which MLflow function should they employ for this purpose?
A
mlflow.set_tag()
B
mlflow.log_artifact()
C
mlflow.start_run()
D
mlflow.log_metric()
E
Both B and D
