Databricks Certified Machine Learning - Associate
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Ultimate access to all questions.
Why might the loss not decrease monotonically with each run when using stochastic search algorithms like those in Hyperopt?
A
Hyperopt‘s search algorithms aim for faster convergence, allowing occasional increases in loss
B
Stochastic search algorithms always decrease the loss monotonically
C
Loss does not decrease in Hyperopt due to a bug
D
Monotonic loss decrease is a requirement for Hyperopt