Share via


kubernetescompute Module

Contains functionality for managing Azure Machine Learning compute targets in Azure Machine Learning.

Classes

KubernetesCompute

Note

This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.

KubernetesCompute (Preview) is a customer managed K8s cluster attached to a workspace by cluster admin.

User granted access and quota to the compute can easily specify and submit a one-node or distributed multi-node ML workload to the compute. The compute executes in a containerized environment and packages your model dependencies in a docker container. For more information, see What are compute targets in Azure Machine Learning? /azure/machine-learning/concept-compute-target

Class ComputeTarget constructor.

Retrieve a cloud representation of a Compute object associated with the provided workspace. Returns an instance of a child class corresponding to the specific type of the retrieved Compute object.

KubernetesComputeAttachConfiguration

Represents configuration parameters for attaching arc compute targets.

Use the attach_configuration method of the KubernetesCompute class to specify attach parameters.

Initialize the configuration object.

KubernetesComputeStatus

Represents detailed status information about an KubernetesCompute target.

Use the get_status method of the KubernetesCompute class to return status information.

Initialize a KubernetesComputeStatus object.