Databricks Certified Machine Learning - Associate
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Explain how you would locate the code that was executed with a run in the MLflow UI. Describe the steps you would take to ensure you are viewing the correct version of the code. Discuss the importance of linking code to runs in the context of reproducibility and debugging.
Explain how you would locate the code that was executed with a run in the MLflow UI. Describe the steps you would take to ensure you are viewing the correct version of the code. Discuss the importance of linking code to runs in the context of reproducibility and debugging.
Simulated
Explanation:
To locate the executed code, you would navigate to the run details page in the MLflow UI, look for the 'Source' field, and verify the code version. Linking code to runs is essential for reproducibility and debugging, ensuring that the exact code used in a run can be identified and reviewed.