Azure.ResourceManager.MachineLearningCompute.Models Namespace

Information about the container service backing the cluster.

AppInsights credentials.

Model factory for models.

AutoScale configuration properties.

Information about updates available for system services in a cluster.

Information about the Azure Container Registry which contains the images deployed to the cluster.

Information about the Azure Container Registry which contains the images deployed to the cluster.

Error detail information.

Error response information.

Wrapper for error response to follow ARM guidelines.

Global configuration for services in the cluster.

Credentials to resources in the cluster.

Parameters for PATCH operation on an operationalization cluster.

Resource operation.

Display of the operation.

Global service auth configuration properties. These are the data-plane authorization keys and are used if a service doesn't define it's own.

The Azure service principal used by Kubernetes for configuring load balancers.

SSL configuration. If configured data-plane calls to user services will be exposed over SSL only.

Access information for the storage account.

Information about a system service deployed in the cluster.

Response of the update system services API.

The Azure VM size of the agent VM nodes. This cannot be changed once the cluster is created. This list is non exhaustive; refer to https://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes for the possible VM sizes.

The cluster type.

The provision state of the cluster. Valid values are Unknown, Updating, Provisioning, Succeeded, and Failed.

Type of orchestrator. It cannot be changed once the cluster is created.

SSL status. Allowed values are Enabled and Disabled.

The system service type.

Yes if updates are available for the system services, No if not.