Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI**, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
With Azure Machine Learning service, you can:
- Build and train machine learning models faster, and easily deploy to the cloud or the edge.
- Use the latest open source technologies such as TensorFlow, PyTorch, or Jupyter.
- Experiment locally and then quickly scale up or out with large GPU-enabled clusters in the cloud.
- Speed up data science with automated machine learning and hyper-parameter tuning.
- Track your experiments, manage models, and easily deploy with integrated CI/CD tooling.
** Previous documentation and vsix installer have been moved to the archive folder.
Currently this extension supports the following 64-bit operating systems:
- Windows
- macOS
- Linux Ubuntu
- Release notes
- Installation
- Getting started with Azure Machine Learning
- Create and manage Azure compute targets
- Train and tune models
- Deploy and manage models
Support for this extension is provided on our GitHub Issue Tracker. You can submit a bug report, a feature suggestion or participate in discussions.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [[email protected]] with any additional questions or comments.
The Microsoft Enterprise and Developer Privacy Statement describes the privacy statement of this software.
This extension is subject to the terms of the End User License Agreement.