Download metrics of a job python sdk v2

Question

How to get the data of the metrics logged by a job using python sdk v2

Answer 1

Based on the documentation, you need to authenticate first then you can retrieve the job using its ID and then access the logged metrics :

from azure.ai.ml import MLClient
from azure.identity import DefaultAzureCredential

# Use DefaultAzureCredential for authentication
credential = DefaultAzureCredential()

# Your subscription ID, resource group, and workspace name
subscription_id = 'your-subscription-id'
resource_group = 'your-resource-group'
workspace_name = 'your-workspace-name'

# Create MLClient
ml_client = MLClient(credential, subscription_id, resource_group, workspace_name)
job_name = 'your-job-name'
# Retrieve the job
job = ml_client.jobs.get(name=job_name)
# Access the metrics logged by the job
metrics = job.outputs.get('logs') or job.outputs.get('metrics')
if metrics:
    print(metrics)
else:
    print("No metrics found for job:", job_name)