Package-level declarations
Types
The response for an ACI service.
Details of the data collection options specified.
The encryption properties.
The Environment, models and assets used for inferencing.
The virtual network configuration.
Advance configuration for AKS networking
The error details.
A Machine Learning compute based on AKS.
AKS properties
The response for an AKS service.
Details of the data collection options specified.
The deployment status.
The Environment, models and assets used for inferencing.
The response for an AKS variant.
An Azure Machine Learning compute.
AML Compute properties
AML Token identity configuration.
A user that can be assigned to a compute instance.
Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.
Batch inference settings per deployment.
Batch inference output configuration.
Retry settings for a batch inference operation.
Configuration for a scoring code asset.
Command job definition.
Definition of a component version: defines resources that span component types.
Compute binding definition.
Defines an Aml Instance application and its connectivity endpoint URI.
Defines all connectivity endpoints and properties for an ComputeInstance.
Describes information on user who created this ComputeInstance.
The last operation on ComputeInstance.
An Azure Machine Learning compute instance.
Compute Instance properties
Specifies policy and settings for SSH access.
A DataFactory compute.
A DataFactory compute.
A DataLakeAnalytics compute.
Reference to an asset via its path in a datastore.
The dataset reference object.
Machine Learning dataset object.
Datastore and reference to location of data such as relativePath, Sql Query and etc.
Last created Dataset definition.
Sql Query/Table/Stored Procedure details.
Dataset state
Reference to better Dataset or a Definition
Machine Learning datastore object.
Class to represent configuration settings for Docker Build
Class to represent configuration settings for Docker Build
The details of the AZURE ML environment.
The unique identifying details of the AZURE ML environment.
Environment specification version details.
Error detail information.
Error response information.
Machine Learning service object wrapped into ARM resource envelope.
Machine Learning service object wrapped into ARM resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Machine Learning service object wrapped into ARM resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Machine Learning labeling job object wrapped into ARM resource envelope.
Linked service.
Linked workspace.
Machine Learning compute object wrapped into ARM resource envelope.
Machine Learning dataset object wrapped into ARM resource envelope.
Machine Learning datastore object wrapped into ARM resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Service Token
The Private Endpoint Connection resource.
An object that represents a machine learning workspace.
Data specific to GlusterFS.
A HDInsight compute.
Reference to an asset via its ARM resource ID.
Identity that will be used to access key vault for encryption at rest
Identity for the resource.
An Image asset.
Job output definition container information on where to find job output/logs.
Represents a category of labels in a labeling job.
Represents a label or a category of labels in a labeling job.
Represents configuration of dataset used in a labeling job.
Instructions for a labeling job.
Definition of a labeling job.
Info about origin if it is linked.
LinkedService specific properties.
LinkedWorkspace specific properties.
Keys for endpoint authentication.
Base definition for datastore secrets.
Secrets related to a Machine Learning compute. Might differ for every type of compute.
Compute node information related to a AmlCompute.
Keys for endpoint authentication.
Wrapper for error response to follow ARM guidelines.
Managed identity configuration.
Defines an early termination policy based on running averages of the primary metric of all runs.
Represents configuration for machine learning assisted features in a labeling job.
Image registry that contains the base image.
The definition of a Docker container.
Settings for a Python environment.
Settings for a R environment.
The configuration for a Spark environment.
An Azure Machine Learning Model.
Model asset version details.
MPI distribution configuration.
Optimization objective.
Online endpoint configuration
Online deployment scoring requests configuration.
Reference to an asset via its path in a job output.
Settings for a personal compute instance.
The Private Endpoint Connection resource.
The Private Endpoint resource.
A collection of information about the state of the connection between service consumer and provider.
Progress metrics for a labeling job.
PyTorch distribution configuration.
Service identity associated with a resource.
Represents a resource ID. For example, for a subnet, it is the resource URL for the subnet.
scale settings for AML Compute
Script reference
Customized setup scripts
The error details.
Details of customized scripts to execute for setting up the cluster.
Sku of the resource
The ssl configuration for scoring
Active message associated with project.
Sweep job definition.
A system service running on a compute.
TensorFlow distribution configuration.
Trial component definition.
Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
Settings for user account that gets created on each on the nodes of a compute.
User assigned identities associated with a resource.
User Assigned Identity
Virtual Machine image for Windows AML Compute
A Machine Learning compute based on Azure Virtual Machines.
Admin credentials for virtual machine