Databricks Certified Machine Learning - Associate
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When is it advisable to use the default Hyperopt class 'Trials' over 'SparkTrials' in the context of hyperparameter tuning with Hyperopt?
When is it advisable to use the default Hyperopt class 'Trials' over 'SparkTrials' in the context of hyperparameter tuning with Hyperopt?
Real Exam
A
When integrating with external experiments.
19.2%
B
When dealing with large datasets.
7.7%
C
When using distributed ML algorithms such as MLlib or Horovod.
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