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Discuss the implications of using Hyperopt for tuning hyperparameters in a distributed model environment. How does the choice of the search space and the distribution of trials across nodes affect the overall performance and accuracy of the model?
A
The distribution of trials across nodes does not affect the model's performance or accuracy.
B
A broader search space and uniform distribution of trials across nodes generally lead to better model accuracy.
C
The choice of search space should be minimal to avoid overfitting, and trials should be concentrated on a single node for best performance.
D
Distributed tuning with Hyperopt requires a narrow search space and a high degree of trial centralization to maintain accuracy.
