Answer-first summary for fast verification
Answer: Click on the run in the Experiments page to view its details, and find the 'Execution Time' field in the run's information.
Option A is the correct approach as it involves using the MLflow UI to find the execution time of a specific run. By clicking on the run and viewing its details, you can find the 'Execution Time' field, which provides the information you need. Knowing the execution time of runs can be useful in understanding the timeline of experiments and identifying any dependencies or conflicts between runs. It can also help in analyzing the performance and resource usage of runs over time.
Author: LeetQuiz Editorial Team
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In the MLflow UI, you need to locate the time a specific run was executed. Describe the steps you would take to find this information, and explain how this feature can be useful in understanding the execution timeline of runs.
A
Click on the run in the Experiments page to view its details, and find the 'Execution Time' field in the run's information.
B
Go to the 'Runs' page, find the run, and hover over the run's name to see a tooltip with the execution time.
C
Use the MLflow Client API to query the run and retrieve its execution time.
D
Manually inspect the run's logs and search for the timestamp indicating when the run started.