Azure Machine Learning for Visual Studio Code
With the Azure Machine Learning for Visual Studio Code extension you can easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service from the Visual Studio Code interface. Earlier versions of this extension were released under the name Visual Studio Code Tools for AI.
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.
With this extension installed, you can accomplish much of this workflow directly from Visual Studio Code.
Supported Operating Systems
Currently this extension supports the following 64-bit operating systems:
- Windows
- macOS
- Linux Ubuntu (other distros may also work)
Learn more
** Previous documentation and vsix installer have been moved to the archive.zip file.
Support
Support for this extension is provided on our GitHub Issue Tracker. You can submit a bug report, a feature suggestion or participate in discussions.
Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [pyaiteam@microsoft.com] with any additional questions or comments.
Privacy Statement
The Microsoft Enterprise and Developer Privacy Statement describes the privacy statement of this software.
License
This extension is subject to the terms of the End User License Agreement.