Security Sentinel
Security Sentinel is an autonomous security audit skill designed to proactively identify and address potential security ...
The Azure Weights & Biases SDK for .NET allows you to manage your ML experiment tracking and model management through Azure Marketplace. This skill provides the ability to create W&B instances, manage SSO, integrate with the marketplace, and ensure ML observability. It leverages the Azure Resource Manager SDK to deploy and manage Weights & Biases instances via Azure Marketplace.
Key workflows include creating, retrieving, listing, updating, and deleting W&B instances. It also supports configuring Single Sign-On (SSO) and checking resource name availability. The SDK provides detailed types for interacting with W&B resources and properties, ensuring robust configuration and management of your ML experiments.
Integration with the W&B Python SDK allows for seamless experiment tracking once the Azure resource is created, enabling you to log metrics, manage runs, and leverage the full W&B ecosystem.
Enables the creation, management, and deletion of Weights & Biases (W&B) instances within Azure through the .NET SDK. It supports SSO configuration, marketplace integration, and provides access to W&B-specific settings.
Use this skill to automate the deployment and management of Weights & Biases instances in Azure, integrate with Azure Marketplace for billing, configure SSO for secure access, and programmatically manage ML experiment tracking resources.
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