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Databricks Certified Machine Learning Professional · Databricks
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A. Starting a manual parent run before calling fmin This approach ensures MLflow Autologging creates a parent run for the overall tuning process and child runs for each hyperparameter trial.
A the notebook linked here https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-spark-mlflow-integration#parallelize-hyperparameter-tuning-with-automated-mlflow-tracking-notebook shoes that a parent run is started before calling fmin
A Correct. The approach that will create a single parent run for the process and a child run for each unique combination of hyperparameter values when using Hyperopt and MLflow Autologging is starting a manual parent run before calling fmin1.