Databricks Certified Machine Learning - Associate
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In the context of using Hyperopt for hyperparameter tuning, what is the significance of the 'max_evals' parameter in the fmin function, and how does it affect the optimization process?_
A
The 'max_evals' parameter is used to set the maximum number of trials for the optimization process and directly affects the exploration of the hyperparameter space._
B
The 'max_evals' parameter is used to specify the maximum time for the optimization process and does not affect the number of trials._
C
The 'max_evals' parameter is not relevant in the optimization process and can be ignored._
D
The 'max_evals' parameter is used to set the number of concurrent trials during the parallelization of the optimization process._