A data scientist is utilizing MLflow to track their machine learning experiments. After completing a series of runs for the experiment with experiment ID exp_id, the data scientist wants to programmatically work with the experiment run data in a Spark DataFrame. They have an active MLflow Client client and an active Spark session spark.
Which of the following lines of code can be used to obtain run-level results for exp_id in a Spark DataFrame?
- A.client.list_run_infos(exp_id)
- B.spark.read.format("delta").load(exp_id)
- C.There is no way to programmatically return row-level results from an MLflow Experiment.
- D.mlflow.search_runs(exp_id)
- E.spark.read.format("mlflow-experiment").load(exp_id)