Practice More Questions From: Test prep 4
Q:
To register a model using a reference to the Run used to train the model, which SDK commands can you use?
Q:
Which of the following SDK commands can you use to create a parallel run step?
Q:
After the run of the pipeline has completed, which code can you use to retrieve the parallel_run_step.txt file from the output of the step?
Q:
You want to define a search space for hyperparameter tuning. The batch_size hyperparameter can have the value 128, 256, or 512 and the learning_rate hyperparameter can have values from a normal distribution with a mean of 10 and a standard deviation of 3. How can you code this in Python?
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How does random sampling select values for hyperparameters?
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True or False? Bayesian sampling can be used only with choice, uniform and quniform parameter expressions, and it can be combined with an early-termination policy.
Q:
You want to implement a median stopping policy. How can you code this in Python?
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