Azure.ResourceManager.WeightsAndBiases

Microsoft Azure Weights & Biases management client library for .NET

Weights & Biases (W&B) is designed to help you track, visualize, and optimize your models. With W&B on Azure, you can leverage the robust infrastructure of Microsoft's cloud computing platform to enhance your machine learning projects.

This library supports managing Microsoft Azure Weights&Biases resources.

This library follows the new Azure SDK guidelines, and provides many core capabilities:

- Support MSAL.NET, Azure.Identity is out of box for supporting MSAL.NET.
- Support [OpenTelemetry](https://opentelemetry.io/) for distributed tracing.
- HTTP pipeline with custom policies.
- Better error-handling.
- Support uniform telemetry across all languages.

Getting started

Install the package

Install the Microsoft Azure Weights & Biases management library for .NET with NuGet:

dotnet add package Azure.ResourceManager.WeightsAndBiases

Prerequisites

• You must have an Microsoft Azure subscription.

Authenticate the Client

To create an authenticated client and start interacting with Microsoft Azure resources, see the quickstart guide here.

Key concepts

Key concepts of the Microsoft Azure SDK for .NET can be found here

Documentation

Documentation is available to help you learn how to use this package:

• Quickstart.
• API References.
• Authentication.

Examples

Code samples for using the management library for .NET can be found in the following locations

• .NET Management Library Code Samples

Troubleshooting

• File an issue via GitHub Issues.
• Check previous questions or ask new ones on Stack Overflow using Azure and .NET tags.

Next steps

For more information about Microsoft Azure SDK, see this website.

Contributing

For details on contributing to this repository, see the contributing guide.

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (for example, label, comment). Follow the instructions provided by the bot. You'll only need to do this action once across all repositories using our CLA.

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 other questions or comments.