DP-100 Exam Dumps | You use Azure Machine Learning to tram a model. You must use Baylean sampling to Tune hyperparaters.

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Question 18/178

You use Azure Machine Learning to tram a model.
You must use Baylean sampling to Tune hyperparaters.
You need to select a learning_rate parameter distribution.
Which two distributions can you use? Each correct answer presents a complete solution.
NOTE Each correct selection is worth one point.

A. Uniform

B. Normal

C. LogUniform

D. QNormal

E. Choice

Correct Answer: A,E

Recent Comments (The most recent comments are at the top.)

efor - Oct 23, 2024

The correct answers are A. Uniform and C. LogUniform.

When tuning hyperparameters with Bayesian sampling in Azure Machine Learning, you can use the following parameter distributions for a learning rate:

Uniform: This distribution samples values uniformly from a specified range. It's useful when you want the learning rate to be selected randomly from a uniform interval.

LogUniform: This distribution samples values in such a way that the logarithm of the values is uniformly distributed. It is often used for parameters like learning rate, where the values can vary across several orders of magnitude.

Other options:

B. Normal and D. QNormal are used for parameters that follow a normal (Gaussian) distribution but are not typically ideal for a learning rate, which often benefits from a log-scale search.
E. Choice is used when you want to specify a discrete set of possible values, which is not ideal for continuous parameters like learning rate.

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