Tomaz Kastrun continues a series on Azure Machine Learning. Day 9 takes us through a piece of the Python SDK:
Python SDK namespace is
azureml.core.environment
. Environments specify the set of Python packages, environment variables, and software settings around your training and scoring scripts. In addition to Python, you can also configure PySpark, Docker and R for environments.You can use namespace
Environment
(or created object/asset) to make deployment and code reusable for training purposes at given docker images, configurations and compute type.
Day 10 shows us how to work with the Python SDK via VS Code or a local Jupyter notebook:
Let’s continue to explore the power of SDK and the namespaces. And we will look into namespace that will help you connect to Azure ML resources with Python SDK.