DP-100 · Question #313
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…
The correct answer is A. Yes. run.log_list log a list of values to the run with the given name using log_list. Example: run.log_list("accuracies", [0.6, 0.7, 0.87]) Data= pd.read_csv('data.csv') Data is read into a pandas.DataFrame, which is a two-dimensional, size-mutable, potentially heterogeneous tabular…
Question
Exhibit
Options
- AYes
- BNo
How the community answered
(41 responses)- A93% (38)
- B7% (3)
Explanation
run.log_list log a list of values to the run with the given name using log_list. Example: run.log_list("accuracies", [0.6, 0.7, 0.87]) Data= pd.read_csv('data.csv') Data is read into a pandas.DataFrame, which is a two-dimensional, size-mutable, potentially heterogeneous tabular data. label_vals =data['label'].unique label_vals contains a list of unique label values. https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run(class) https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html
Topics
Community Discussion
No community discussion yet for this question.
