DP-100 · Question #197
You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hype
The correct answer is B. a uniform expression for learning_rate D. a choice expression for batch_size. B: Continuous hyperparameters are specified as a distribution over a continuous range of values. Supported distributions include: uniform(low, high) - Returns a value uniformly distributed between low and high D: Discrete hyperparameters are specified as a choice among discrete v
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Options
- Aa choice expression for learning_rate
- Ba uniform expression for learning_rate
- Ca normal expression for batch_size
- Da choice expression for batch_size
- Ea uniform expression for batch_size
How the community answered
(50 responses)- A2% (1)
- B82% (41)
- C10% (5)
- E6% (3)
Explanation
B: Continuous hyperparameters are specified as a distribution over a continuous range of values. Supported distributions include: uniform(low, high) - Returns a value uniformly distributed between low and high D: Discrete hyperparameters are specified as a choice among discrete values. choice can be: one or more comma-separated values any arbitrary list object https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters
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