Notatnik do tego ćwiczenia

Lab 5A: Working with Environments

All Python code runs in the context of an environment, which determines the Python packages available. When you run a script as an experiment in Azure Machine Learning, you can configure the environment in which it runs.

Before You Start

Before you start this lab, ensure that you have completed Lab 1A and Lab 1B, which include tasks to create the Azure Machine Learning workspace and other resources used in this lab.

Task 1: Work with Environments

In this task, you'll use code in a notebook to work with environments for Azure Machine Learning jobs, using the Azure Machine Learning SDK v2.

1. In Azure Machine Learning studio, view the Compute page for your workspace; and on the Compute instances tab, ensure your compute instance is running. If not, start it.
2. When the compute instance is running, select its JupyterLab link to open the JupyterLab interface in a new browser tab.
3. In JupyterLab, open the MachineLearningCourse/materialy/azure-ml/en folder (clone or pull the repository first if you haven't already - see Lab 1B) and open the 05A - Working with Environments.ipynb notebook. Confirm that the notebook is using the Python 3.10 - SDK v2 kernel, then read the notes and run each code cell in turn.

Note: If you intend to continue straight to the next exercise, leave your compute instance running. If you're taking a break, you might want to close all Jupyter tabs and Stop your compute instance to avoid incurring unnecessary costs.