Task: Review your job history in the Azure Machine Learning studio
Step: 4, 5
Description of issue:
In the instruction file:
When the job is completed, you can find the AUC and Accuracy of the model under Metrics.
Under Outputs + logs, you'll find:
The model pickle file in the folder outputs.
The output of the script in user_logs/std_log.txt. Output from print statements in the script will show here. If there's an error because of a problem with your script, you'll find the error message here too.
However, the script does not utilize mlflow.sklearn or other equivalent logging systems to log or store models, so the Metrics and model pickle do not exist. So there is a discrepancy between the worksheet and the actual output. These concepts are only introduced in lab03 and lab10.
I could implement a fix once I go through the whole repo.
madiepev
commented
1 year ago
Module: 02-Explore-developer-tools
Lab/Demo: 02
Task: Review your job history in the Azure Machine Learning studio
Step: 4, 5
Description of issue:
In the instruction file:
However, the script does not utilize
mlflow.sklearnor other equivalent logging systems to log or store models, so the Metrics and model pickle do not exist. So there is a discrepancy between the worksheet and the actual output. These concepts are only introduced in lab03 and lab10.I could implement a fix once I go through the whole repo.