Azure Machine Learning Python SDK notebooks

With the introduction of AzureML SDK v2, this samples repository for the v1 SDK is now deprecated and will not be monitored or updated. Users are encouraged to visit the v2 SDK samples repository instead for up-to-date and enhanced examples of how to build, train, and deploy machine learning models with AzureML's newest features.

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Welcome to the Azure Machine Learning Python SDK notebooks repository!

a community-driven repository of examples using mlflow for tracking can be found at https://github.com/Azure/azureml-examples

Getting started

These notebooks are recommended for use in an Azure Machine Learning Compute Instance, where you can run them without any additional set up.

However, the notebooks can be run in any development environment with the correct azureml packages installed.

Install the azureml.core Python package:

pip install azureml-core

Install additional packages as needed:

pip install azureml-mlflow
pip install azureml-dataset-runtime
pip install azureml-automl-runtime
pip install azureml-pipeline
pip install azureml-pipeline-steps
...

We recommend starting with one of the quickstarts.

Contributing

This repository is a push-only mirror. Pull requests are ignored.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.

Reference

• Documentation