Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
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
