You have an Azure Machine Learning workspace. You plan to tune model hyperparameters by using a sweep job.
You need to find a sampling method that supports early termination of low-performance jobs and continuous hyperpara meters.
Solution: Use the Sobol sampling method over the hyperpara meter space.
Does the solution meet the goal?
import azureml.contrib.fairness package to perform the upload:
from azureml.contrib.fairness import upload_dashboard_dictionary, download_dashboard_by_upload_id
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-machine-learning-fairness-aml
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