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Answer: `metrics = runs[0].data.metrics`
In Databricks MLflow, once you have retrieved the most recent run from an experiment using the MLflow client, you can access the metrics of the best run by using `runs[0].data.metrics`. This will return a dictionary containing the metric keys and their respective values.
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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