Microsoft Exam DP-100 Topic 10 Question 26 Discussion

Log a numerical or string value to the run with the given name using log(name, value, description=''). Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric.

Example: run.log('accuracy', 0.95)

Incorrect Answers:

E: Using log_row(name, description=None, **kwargs) creates a metric with multiple columns as described in kwargs. Each named parameter generates a column with the value specified. log_row can be called once to log an arbitrary tuple, or multiple times in a loop to generate a complete table.

Example: run.log_row('Y over X', x=1, y=0.4)

https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run