Last Updated on October 21, 2021 by Admin
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You plan to use a Python script to run an Azure Machine Learning experiment. The script creates a reference to the experiment run context, loads data from a file, identifies the set of unique values for the label column, and completes the experiment run:
from azureml.core import Run import pandas as pd run = Run.get_context() data = pd.read_csv('data.csv') label_vals = data['label'].unique() # Add code to record metrics here run.complete()
The experiment must record the unique labels in the data as metrics for the run that can be reviewed later.
You must add code to the script to record the unique label values as run metrics at the point indicated by the comment.
Solution: Replace the comment with the following code:
Does the solution meet the goal?
label_vals has the unique labels (from the statement label_vals = data[‘label’].unique()), and it has to be logged.
Instead use the run_log function to log the contents in label_vals:
for label_val in label_vals:
run.log(‘Label Values’, label_val)