AzureML 파이프라인 매트릭 가져오기

get_pipeline_metrics.py

from azureml.core import Experiment, Workspace, Run
import pprint
import os


resource_group = os.environ["AUZURE_RESOURCE_GROUP"]
workspace_name = os.environ["AUZRE_WORKSPACE_NAME"]
subscription_id = os.environ["AZURE_SUBSCRIPTION_ID"]

ws = Workspace(
    resource_group=resource_group,
    workspace_name=workspace_name,
    subscription_id=subscription_id,
)

experiment = Experiment(workspace=ws, name="azureml-model-evaluate")
run_id = "<PIPELINE RUN ID>"
fetched_run = Run(experiment, run_id)
metrics = list(fetched_run.get_metrics(recursive=True).values())[0]
pprint.pprint(metrics)