The extension also offers several commands that can be accessed through the Command Palette. Users can customize the extension through various VS Code settings available for the extension. The extension is integrated with Microsoft's Python extension and can connect to Studio, a collaboration platform for Machine Learning teams. The extension collects usage data and sends it to Azure to help improve products and services, but respects the 'telemetry.enableTelemetry' setting. Users are encouraged to contribute to the development of the extension and can find guidelines in the CONTRIBUTING.md file.
Key takeaways:
- The DVC Extension for Visual Studio Code allows users to run, compare, visualize, and track machine learning experiments right in VS Code, using DVC, an open-source data versioning and ML experiment management tool.
- The extension provides features such as experiment tracking, visualization, live tracking, reproducibility, and data management, all within the VS Code environment.
- No external servers, databases, or subscriptions are required to use the extension, and it allows data versioning on top of your favorite cloud storage, such as Amazon S3, Azure Blob Storage, Google Cloud Storage, NFS, etc.
- The extension collects usage data and sends it to Azure to help improve products and services, but respects the 'telemetry.enableTelemetry' setting for those who prefer to disable this feature.