Multiple Choice Flashcards on 01 Databricks Certified Machine Learning Associ...

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Flashcard Practice Databricks Certified Machine Learning Associate Multiple Choice

A costly tuning job should stop once recent trials show no useful improvement, even though max_evals is set high for safety. Which fmin() mechanism is most appropriate?

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Set max_queue_len to zero so no trial can be evaluated. Return STATUS_OK with a larger loss so fmin() changes max_evals automatically. Use early_stop_fn to stop from Trials state before the full budget is spent. Use hp.uniform with a narrower range after the search has already started.

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