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Microsoft DP-100 Exam - Topic 8 Question 19 Discussion
Topic #: 8
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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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?
Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines
Ngoc
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