The Azure Machine Learning extension cross-references all values with resources in your default workspace. Use the Azure ML command in the Command Palette ( ⇧⌘P (Windows, Linux Ctrl+Shift+P)) or the Azure Machine Learning View in VS Code to simplify the specification file authoring process. When working with Azure Machine Learning specification files, the VS Code extension provides support for the following features: Its features accelerate scaling data science up and out while tracking the model lifecycle. The Azure Machine Learning 2.0 CLI enables you to train and deploy models from the command line. Azure Machine Learning 2.0 CLI support (preview) For more information, see connect to an Azure Machine Learning compute instance. The Azure Machine Learning VS Code extension makes it easy to connect to and access resources in compute instances in real time. The Azure Machine Learning VS Code extension lets you use the features you're used to in Visual Studio Code for developing your machine learning applications.Ĭompute instances are a managed cloud-based workstation for developing machine learning applications. For more information on Azure Machine Learning, see What is Azure Machine Learning? Configure IntelliSense for cross-compilingĪzure Machine Learning is a cloud-based environment you can use to train, deploy, automate, manage, and track machine learning models.
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