azureml_core_workspace_connect_and_experiment_metric_logging.py

1from azureml.core import Workspace, Experiment
2
3# Connect to your Azure Machine Learning workspace
4# This requires a 'config.json' file in the current directory or a parent directory
5# You can download this file from the Azure Portal
6ws = Workspace.from_config()
7
8# Create or get an experiment
9experiment = Experiment(workspace=ws, name="quickstart-experiment")
10
11# Start a logging run
12run = experiment.start_logging()
13
14# Log a metric to the run
15run.log("greeting", "Hello, Azure Machine Learning!")
16
17# Complete the run
18run.complete()
19
20# Print the URL to the run in the Azure portal
21print(f"Run URL: {run.get_portal_url()}")