
Ultimate access to all questions.
In the context of developing a workflow that involves training multiple models and comparing their performance, which MLflow feature is most suitable for logging metrics and visualizations for each model run?
A
mlflow.start_run_
B
mlflow.log_artifact_
C
mlflow.compare_runs_
D
mlflow.log_metric_