Visual Studio Code: Extension for Azure Machine Learning generally available
The VS Code extension for Azure Machine Learning enables the creation, training and management of ML models directly in Microsoft's code editor.
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The Visual Studio Code (VS Code) extension for Azure Machine Learning is now generally available. It enables users to use their favorite VS Code environment – whether desktop or web – to create, train, deploy and manage machine learning models. It also offers features such as virtual network (VNET) support and interactive debugging to improve productivity and collaboration.
What is Azure Machine Learning?
Azure Machine Learning is a cloud-based service from Microsoft that supports the creation, training, deployment and management of machine learning models. Users can use well-known open source tools such as TensorFlow, PyTorch or Jupyter, experiment locally and then scale to large GPU clusters in the cloud. The VS Code extension provides a user interface to manage Azure ML resources and supports the new Azure ML 2.0 CLI.
To use the VS Code extension, users can connect to their preferred compute instance via Azure Machine Learning Studio. After logging in, the machine learning models can be developed directly in VS Code.
(Image: Microsoft DevBlogs)
More information about the extension can be found in the blog post. Tutorials and documentation are also available to help you get started. The extension is available via the Visual Studio Marketplace.
(mdo)