Package-level declarations
Types
Account key datastore credentials configuration.
Cognitive Services account Model.
Details of ACR account to be used for the Registry
Advance configuration for AKS networking
A Machine Learning compute based on AKS.
AKS properties
All nodes means the service will be running on all of the nodes of the job
AML Compute properties
An Azure Machine Learning compute.
AML Token identity configuration.
This connection type covers the generic ApiKey auth connection categories, for examples: AzureOpenAI: Category:= AzureOpenAI AuthType:= ApiKey (as type discriminator) Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {ApiBase} CognitiveService: Category:= CognitiveService AuthType:= ApiKey (as type discriminator) Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= ServiceRegion={serviceRegion} CognitiveSearch: Category:= CognitiveSearch AuthType:= ApiKey (as type discriminator) Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {Endpoint} Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields
ARM ResourceId of a resource
A user that can be assigned to a compute instance.
Forecast horizon determined automatically by system.
AutoMLJob class. Use this class for executing AutoML tasks like Classification/Regression etc. See TaskType enum for all the tasks supported.
N-Cross validations determined automatically.
Auto pause properties
Auto scale properties
Target lags rolling window determined automatically.
Azure Blob datastore configuration.
Azure Data Lake Gen1 datastore configuration.
Azure Data Lake Gen2 datastore configuration.
Webhook details specific for Azure DevOps
Azure File datastore configuration.
Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation
Batch inference settings per deployment.
Batch endpoint default values
Batch endpoint configuration.
Retry settings for a batch inference operation.
Defines a Sampling Algorithm that generates values based on previous values
Describes the bind options for the container
Configuration settings for Docker build context
The call rate limit Cognitive Services account.
Classification task in AutoML Table vertical.
Classification Training related configuration.
Configuration for a scoring code asset.
Code asset version details.
Column transformer parameters.
Command Job limit class.
Command job definition.
Component container definition.
Definition of a component version: defines resources that span component types.
Defines an Aml Instance application and its connectivity endpoint URI.
Defines all connectivity endpoints and properties for an ComputeInstance.
Defines an Aml Instance container.
Describes information on user who created this ComputeInstance.
Defines an Aml Instance DataDisk.
Defines an Aml Instance DataMount.
Environment information
The last operation on ComputeInstance.
Compute Instance properties
An Azure Machine Learning compute instance.
Specifies policy and settings for SSH access.
Version of computeInstance.
The list of schedules to be applied on the computes
Compute start stop schedule properties
Resource requirements for each container instance within an online deployment.
The workflow trigger cron for ComputeStartStop schedule type.
The desired maximum forecast horizon in units of time-series frequency.
Custom Keys credential object
Category:= CustomKeys AuthType:= CustomKeys (as type discriminator) Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys Target:= {any value} Use Metadata property bag for ApiVersion and other metadata fields
N-Cross validations are specified by user.
Specifies the custom service configuration
Properties of Databricks
A DataFactory compute.
A DataFactory compute.
A DataLakeAnalytics compute.
Reference to an asset via its path in a datastore.
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.
Contract for DeltaModelCurrentState.
Properties of Cognitive Services account deployment model.
Class to represent configuration settings for Docker Build
Class to represent configuration settings for Docker Build
Docker container configuration
Endpoint Model properties.
Container for environment specification versions.
Environment specification version details.
Environment Variables for the container
Environment version details.
The resource management error additional info.
The error detail.
Common error response for all Azure Resource Manager APIs to return error details for failed operations. (This also follows the OData error response format.).
The estimated price info for using a VM of a particular OS type, tier, etc.
The estimated price info for using a VM.
Dto object representing feature set
Dto object representing the feature set job
Dto object representing specification
Dto object representing feature set version
Dto object representing feature entity
Dto object representing feature entity version
Specifies the feature window
Forecasting task in AutoML Table vertical.
Forecasting specific parameters.
Forecasting Training related configuration.
FQDN Outbound Rule for the managed network of a machine learning workspace.
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.
The List Virtual Machine size operation response.
Machine Learning compute object wrapped into ARM resource envelope.
Azure OpenAI Content Filters resource.
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.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Contract returning to user the delta models.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Linked service.
Linked workspace.
Machine Learning dataset object wrapped into ARM resource envelope.
Machine Learning datastore object wrapped into ARM resource envelope.
Outbound Rule Basic Resource for the managed network of a machine learning workspace.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Azure Resource Manager resource envelope.
Service Token
The Private Endpoint Connection resource.
Azure OpenAI Content Filters resource.
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.
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.
An object that represents a machine learning workspace.
Data specific to GlusterFS.
Defines a Sampling Algorithm that exhaustively generates every value combination in the space
HDInsight compute properties
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.
Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.
Image Classification. Multi-class image classification is used when an image is classified with only a single label from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.
Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level, drawing a polygon around each object in the image.
Limit settings for the AutoML job.
Returns metadata about the operating system image for this compute instance.
Distribution expressions to sweep over values of model settings.
Distribution expressions to sweep over values of model settings.
Settings used for training the model. For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
Settings used for training the model. For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
Image Object Detection. Object detection is used to identify objects in an image and locate each object with a bounding box e.g. locate all dogs and cats in an image and draw a bounding box around each.
Describes the Image Specifications
Model sweeping and hyperparameter sweeping related settings.
Dto object representing index column
Inference pool configuration
Instance type schema.
Job endpoint definition
Properties specific to a KubernetesOnlineDeployment.
Kubernetes properties
A Machine Learning compute based on Kubernetes Compute.
Label category definition
Label class definition
Labeling data configuration definition
Properties of a labeling job for image data
Instructions for labeling job
Labeling job definition
Properties of a labeling job for text data
Info about origin if it is linked.
LinkedService specific properties.
LinkedWorkspace specific properties.
Keys for endpoint authentication.
Secrets related to a Machine Learning compute. Might differ for every type of compute.
Result of AmlCompute Nodes
Base definition for datastore secrets.
A paginated list of Feature entities.
A paginated list of FeaturesetJob entities.
A paginated list of String entities.
Keys for endpoint authentication.
Keys for endpoint authentication.
Literal input type.
Managed identity configuration.
Properties specific to a ManagedOnlineDeployment.
Managed service identity (system assigned and/or user assigned identities)
Dto object representing compute resource
Defines an early termination policy based on running averages of the primary metric of all runs
Labeling MLAssist configuration definition when MLAssist is disabled
Labeling MLAssist configuration definition when MLAssist is enabled
MLTable data definition
Cognitive Services account ModelDeprecationInfo.
Describes an available Cognitive Services Model SKU.
Model asset version details.
MPI distribution configuration.
Job execution constraints.
Empty/none datastore credentials.
Configuration for notification.
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.
Pipeline Job definition: defines generic to MFE attributes.
Environment configuration options.
Model configuration options.
The Private Endpoint Connection resource.
Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
The PE network resource that is linked to this PE connection.
The Private Endpoint resource.
A collection of information about the state of the connection between service consumer and provider.
Progress metrics definition
PyTorch distribution configuration.
Azure OpenAI blocklist config.
RAI Custom Blocklist Item properties.
RAI Custom Blocklist properties.
Azure OpenAI Content Filters properties.
Defines a Sampling Algorithm that generates values randomly
The workflow trigger recurrence for ComputeStartStop schedule type.
Properties of the Private Endpoint Connection
Private endpoint connection definition.
The connection state.
Details for each region the registry is in
Details of the Registry
Regression task in AutoML Table vertical.
Regression Training related configuration.
Scoring requests configuration.
Represents a resource ID. For example, for a subnet, it is the resource URL for the subnet.
SAS datastore credentials configuration.
scale settings for AML Compute
Base definition of a schedule
Script reference
Customized setup scripts
Secret Configuration definition.
Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
Service Tag Outbound Rule for the managed network of a machine learning workspace.
Details of customized scripts to execute for setting up the cluster.
Advances setting to customize StackEnsemble run.
Active message associated with project
Details of storage account to be used for the Registry
Sweep job definition.
A SynapseSpark compute.
Metadata pertaining to creation and last modification of the resource.
A system service running on a compute.
Featurization Configuration.
Job execution constraints.
TensorFlow distribution configuration.
Text Classification Multilabel task in AutoML NLP vertical. NLP - Natural Language Processing.
Text Classification task in AutoML NLP vertical. NLP - Natural Language Processing.
Text-NER task in AutoML NLP vertical. NER - Named Entity Recognition. NLP - Natural Language Processing.
Describes the tmpfs options for the container
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 identity properties
User identity configuration.
Virtual Machine image for Windows AML Compute
A Machine Learning compute based on Azure Virtual Machines.
Describes the properties of a VM size.
Admin credentials for virtual machine
Describes the volume configuration for the container
Describes the volume options for the container
Api key object for workspace connection credential.