
Ultimate access to all questions.
After retrieving the most recent run from an experiment in Databricks MLflow using the MLflow client with the command runs = client.search_runs(experiment_id, order_by=["attributes.start_time desc"], max_results=1), how can you access the metrics of this run? Choose only ONE best answer.
A
metrics = runs[0].fetch_metrics()
B
metrics = runs[0].data.metrics
C
metrics = runs[0].get_metrics()
D
metrics = runs[0].metrics.data