Azure Machine Learning Services

Collaborative and visual infrastructure as design for Azure Machine Learning Services

Components ( 4 )

The Meshery model for Azure Machine Learning Services supports the following components.

registry

registry

workspace

workspace

workspaces-compute

workspaces-compute

workspaces-connection

workspaces-connection

What are Meshery Models and Components?

Meshery Models and Components represent the fundamental building blocks of your infrastructure. Use them to define the structure and configuration of your infrastructure and deployments by incorporating their use into a Design. Think of Designs as blueprints or templates that encapsulate everything from network configurations to service definitions.

Learn more about Models, Components, Relationships, and Designs

What is the Meshery Registry

The Meshery Registry is a vital component within Meshery, serving as a centralized repository for managing a diverse range of cloud and cloud native resources. It stores and organizes crucial information such as models, categories, components, and relationships, enabling efficient interaction and utilization of these resources within the Meshery ecosystem. You can conveniently access and manage registry data through Meshery UI, and through Meshery CLI (mesheryctl registry).
Learn more about the Registry

Related Models in Machine Learning