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You are using Azure Machine Learning to run an experiment that trains a classification model.
You want to use Hyperdrive to find parameters that optimize the AUC metric for the model.
You configure a HyperDriveConfig for the experiment by running the following code:
variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted. You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric.
Solution: Run the following code:
Does the solution meet the goal?
A . Yes
B . No
Answer: A
Explanation:
Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines
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