Answer-first summary for fast verification
Answer: No
The proposed solution does not meet the goal because grid sampling does not support continuous hyperparameters. According to Microsoft documentation and the community discussion consensus (with upvoted comments supporting 'No'), grid sampling only works with discrete hyperparameters where you specify a finite set of values. While grid sampling does support early termination policies, the requirement for continuous hyperparameter support is not satisfied. Alternative sampling methods like Bayesian or random sampling would be more appropriate for continuous hyperparameters.
Author: LeetQuiz Editorial Team
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You plan to tune model hyperparameters using a sweep job in your Azure Machine Learning workspace.
You need to select a sampling method that supports both early termination for low-performance jobs and the use of continuous hyperparameters.
Proposed solution: Use the grid sampling method over the hyperparameter space.
Does the proposed solution meet this goal?
A
Yes
B
No
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