@azure/arm-machinelearning package

Classes

AzureMachineLearningServicesManagementClient

Interfaces

AADAuthTypeWorkspaceConnectionProperties	This connection type covers the AAD auth for any applicable Azure service
AKS	A Machine Learning compute based on AKS.
AKSSchemaProperties	AKS properties
AccessKeyAuthTypeWorkspaceConnectionProperties	model interface AccessKeyAuthTypeWorkspaceConnectionProperties
AccountApiKeys	model interface AccountApiKeys
AccountKeyAuthTypeWorkspaceConnectionProperties	This connection type covers the account key connection for Azure storage
AccountKeyDatastoreCredentials	Account key datastore credentials configuration.
AccountKeyDatastoreSecrets	Datastore account key secrets.
AcrDetails	Details of ACR account to be used for the Registry
ActualCapacityInfo	model interface ActualCapacityInfo
AksComputeSecrets	Secrets related to a Machine Learning compute based on AKS.
AksNetworkingConfiguration	Advance configuration for AKS networking
AllFeatures	model interface AllFeatures
AllNodes	All nodes means the service will be running on all of the nodes of the job
AmlCompute	An Azure Machine Learning compute.
AmlComputeNodeInformation	Compute node information related to a AmlCompute.
AmlComputeProperties	AML Compute properties
AmlToken	AML Token identity configuration.
AmlTokenComputeIdentity	AML token compute identity definition.
AmlUserFeature	Features enabled for a workspace
AnonymousAccessCredential	Access credential with no credentials
ApiKeyAuthWorkspaceConnectionProperties	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
ArmResourceId	ARM ResourceId of a resource
AssetBase	model interface AssetBase
AssetContainer	model interface AssetContainer
AssetReferenceBase	Base definition for asset references.
AssignedUser	A user that can be assigned to a compute instance.
AutoForecastHorizon	Forecast horizon determined automatically by system.
AutoMLJob	AutoMLJob class. Use this class for executing AutoML tasks like Classification/Regression etc. See TaskType enum for all the tasks supported.
AutoMLVertical	AutoML vertical class. Base class for AutoML verticals - TableVertical/ImageVertical/NLPVertical
AutoNCrossValidations	N-Cross validations determined automatically.
AutoPauseProperties	Auto pause properties
AutoScaleProperties	Auto scale properties
AutoSeasonality	model interface AutoSeasonality
AutoTargetLags	model interface AutoTargetLags
AutoTargetRollingWindowSize	Target lags rolling window determined automatically.
AvailableQuota	model interface AvailableQuota
AvailableQuotaProperties	model interface AvailableQuotaProperties
AzureBlobDatastore	Azure Blob datastore configuration.
AzureDataLakeGen1Datastore	Azure Data Lake Gen1 datastore configuration.
AzureDataLakeGen2Datastore	Azure Data Lake Gen2 datastore configuration.
AzureDevOpsWebhook	Webhook details specific for Azure DevOps
AzureFileDatastore	Azure File datastore configuration.
AzureMachineLearningServicesManagementClientOptionalParams	Optional parameters for the client.
AzureOpenAiFineTuning	model interface AzureOpenAiFineTuning
AzureOpenAiHyperParameters	Azure Open AI hyperparameters for fine tuning.
BanditPolicy	Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation
BatchDeployment	Concrete tracked resource types can be created by aliasing this type using a specific property type.
BatchDeploymentConfiguration	Properties relevant to different deployment types.
BatchDeploymentProperties	Batch inference settings per deployment.
BatchDeploymentsCreateOrUpdateOptionalParams	Optional parameters.
BatchDeploymentsDeleteOptionalParams	Optional parameters.
BatchDeploymentsGetOptionalParams	Optional parameters.
BatchDeploymentsListOptionalParams	Optional parameters.
BatchDeploymentsOperations	Interface representing a BatchDeployments operations.
BatchDeploymentsUpdateOptionalParams	Optional parameters.
BatchEndpoint	Concrete tracked resource types can be created by aliasing this type using a specific property type.
BatchEndpointDefaults	Batch endpoint default values
BatchEndpointProperties	Batch endpoint configuration.
BatchEndpointsCreateOrUpdateOptionalParams	Optional parameters.
BatchEndpointsDeleteOptionalParams	Optional parameters.
BatchEndpointsGetOptionalParams	Optional parameters.
BatchEndpointsListKeysOptionalParams	Optional parameters.
BatchEndpointsListOptionalParams	Optional parameters.
BatchEndpointsOperations	Interface representing a BatchEndpoints operations.
BatchEndpointsUpdateOptionalParams	Optional parameters.
BatchPipelineComponentDeploymentConfiguration	Properties for a Batch Pipeline Component Deployment.
BatchRetrySettings	Retry settings for a batch inference operation.
BayesianSamplingAlgorithm	Defines a Sampling Algorithm that generates values based on previous values
BindOptions	model interface BindOptions
BlobReferenceForConsumptionDto	model interface BlobReferenceForConsumptionDto
BuildContext	Configuration settings for Docker build context
CapabilityHost	Azure Resource Manager resource envelope.
CapabilityHostProperties	model interface CapabilityHostProperties
CapabilityHostsCreateOrUpdateOptionalParams	Optional parameters.
CapabilityHostsDeleteOptionalParams	Optional parameters.
CapabilityHostsGetOptionalParams	Optional parameters.
CapabilityHostsOperations	Interface representing a CapabilityHosts operations.
CategoricalDataDriftMetricThreshold	model interface CategoricalDataDriftMetricThreshold
CategoricalDataQualityMetricThreshold	model interface CategoricalDataQualityMetricThreshold
CategoricalPredictionDriftMetricThreshold	model interface CategoricalPredictionDriftMetricThreshold
CertificateDatastoreCredentials	Certificate datastore credentials configuration.
CertificateDatastoreSecrets	Datastore certificate secrets.
Classification	Classification task in AutoML Table vertical.
ClassificationTrainingSettings	Classification Training related configuration.
ClusterUpdateParameters	AmlCompute update parameters.
ClusterUpdateProperties	The properties of a amlCompute that need to be updated.
CodeConfiguration	Configuration for a scoring code asset.
CodeContainer	Azure Resource Manager resource envelope.
CodeContainerProperties	Container for code asset versions.
CodeContainersCreateOrUpdateOptionalParams	Optional parameters.
CodeContainersDeleteOptionalParams	Optional parameters.
CodeContainersGetOptionalParams	Optional parameters.
CodeContainersListOptionalParams	Optional parameters.
CodeContainersOperations	Interface representing a CodeContainers operations.
CodeVersion	Azure Resource Manager resource envelope.
CodeVersionProperties	Code asset version details.
CodeVersionsCreateOrGetStartPendingUploadOptionalParams	Optional parameters.
CodeVersionsCreateOrUpdateOptionalParams	Optional parameters.
CodeVersionsDeleteOptionalParams	Optional parameters.
CodeVersionsGetOptionalParams	Optional parameters.
CodeVersionsListOptionalParams	Optional parameters.
CodeVersionsOperations	Interface representing a CodeVersions operations.
CodeVersionsPublishOptionalParams	Optional parameters.
CognitiveServicesSku	model interface CognitiveServicesSku
Collection	model interface Collection
ColumnTransformer	Column transformer parameters.
CommandJob	Command job definition.
CommandJobLimits	Command Job limit class.
ComponentContainer	Azure Resource Manager resource envelope.
ComponentContainerProperties	Component container definition. <see href="https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command" />
ComponentContainersCreateOrUpdateOptionalParams	Optional parameters.
ComponentContainersDeleteOptionalParams	Optional parameters.
ComponentContainersGetOptionalParams	Optional parameters.
ComponentContainersListOptionalParams	Optional parameters.
ComponentContainersOperations	Interface representing a ComponentContainers operations.
ComponentVersion	Azure Resource Manager resource envelope.
ComponentVersionProperties	Definition of a component version: defines resources that span component types.
ComponentVersionsCreateOrUpdateOptionalParams	Optional parameters.
ComponentVersionsDeleteOptionalParams	Optional parameters.
ComponentVersionsGetOptionalParams	Optional parameters.
ComponentVersionsListOptionalParams	Optional parameters.
ComponentVersionsOperations	Interface representing a ComponentVersions operations.
ComponentVersionsPublishOptionalParams	Optional parameters.
Compute	Machine Learning compute object.
ComputeInstance	An Azure Machine Learning compute instance.
ComputeInstanceApplication	Defines an Aml Instance application and its connectivity endpoint URI.
ComputeInstanceAutologgerSettings	Specifies settings for autologger.
ComputeInstanceConnectivityEndpoints	Defines all connectivity endpoints and properties for an ComputeInstance.
ComputeInstanceContainer	Defines an Aml Instance container.
ComputeInstanceCreatedBy	Describes information on user who created this ComputeInstance.
ComputeInstanceDataDisk	Defines an Aml Instance DataDisk.
ComputeInstanceDataMount	Defines an Aml Instance DataMount.
ComputeInstanceEnvironmentInfo	Environment information
ComputeInstanceLastOperation	The last operation on ComputeInstance.
ComputeInstanceProperties	Compute Instance properties
ComputeInstanceSshSettings	Specifies policy and settings for SSH access.
ComputeInstanceVersion	Version of computeInstance.
ComputeOperationsCreateOrUpdateOptionalParams	Optional parameters.
ComputeOperationsDeleteOptionalParams	Optional parameters.
ComputeOperationsGetAllowedResizeSizesOptionalParams	Optional parameters.
ComputeOperationsGetOptionalParams	Optional parameters.
ComputeOperationsListKeysOptionalParams	Optional parameters.
ComputeOperationsListNodesOptionalParams	Optional parameters.
ComputeOperationsListOptionalParams	Optional parameters.
ComputeOperationsOperations	Interface representing a ComputeOperations operations.
ComputeOperationsResizeOptionalParams	Optional parameters.
ComputeOperationsRestartOptionalParams	Optional parameters.
ComputeOperationsStartOptionalParams	Optional parameters.
ComputeOperationsStopOptionalParams	Optional parameters.
ComputeOperationsUpdateCustomServicesOptionalParams	Optional parameters.
ComputeOperationsUpdateDataMountsOptionalParams	Optional parameters.
ComputeOperationsUpdateIdleShutdownSettingOptionalParams	Optional parameters.
ComputeOperationsUpdateOptionalParams	Optional parameters.
ComputeRecurrenceSchedule	model interface ComputeRecurrenceSchedule
ComputeResource	Machine Learning compute object wrapped into ARM resource envelope.
ComputeRuntimeDto	model interface ComputeRuntimeDto
ComputeSchedules	The list of schedules to be applied on the computes
ComputeSecrets	Secrets related to a Machine Learning compute. Might differ for every type of compute.
ComputeStartStopSchedule	Compute start stop schedule properties
ConnectionCreateOrUpdateDeploymentOptionalParams	Optional parameters.
ConnectionDeleteDeploymentOptionalParams	Optional parameters.
ConnectionGetAllModelsOptionalParams	Optional parameters.
ConnectionGetDeploymentOptionalParams	Optional parameters.
ConnectionGetModelsOptionalParams	Optional parameters.
ConnectionListDeploymentsOptionalParams	Optional parameters.
ConnectionOperations	Interface representing a Connection operations.
ConnectionRaiBlocklistCreateOptionalParams	Optional parameters.
ConnectionRaiBlocklistDeleteOptionalParams	Optional parameters.
ConnectionRaiBlocklistGetOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemAddBulkOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemCreateOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemDeleteBulkOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemDeleteOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemGetOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemOperations	Interface representing a ConnectionRaiBlocklistItem operations.
ConnectionRaiBlocklistItemsListOptionalParams	Optional parameters.
ConnectionRaiBlocklistItemsOperations	Interface representing a ConnectionRaiBlocklistItems operations.
ConnectionRaiBlocklistOperations	Interface representing a ConnectionRaiBlocklist operations.
ConnectionRaiBlocklistsListOptionalParams	Optional parameters.
ConnectionRaiBlocklistsOperations	Interface representing a ConnectionRaiBlocklists operations.
ConnectionRaiPoliciesListOptionalParams	Optional parameters.
ConnectionRaiPoliciesOperations	Interface representing a ConnectionRaiPolicies operations.
ConnectionRaiPolicyCreateOptionalParams	Optional parameters.
ConnectionRaiPolicyDeleteOptionalParams	Optional parameters.
ConnectionRaiPolicyGetOptionalParams	Optional parameters.
ConnectionRaiPolicyOperations	Interface representing a ConnectionRaiPolicy operations.
ContainerResourceRequirements	Resource requirements for each container instance within an online deployment.
ContainerResourceSettings	model interface ContainerResourceSettings
ContentSafety	model interface ContentSafety
ContentSafetyEndpointDeploymentResourceProperties	model interface ContentSafetyEndpointDeploymentResourceProperties
ContentSafetyEndpointResourceProperties	model interface ContentSafetyEndpointResourceProperties
CosmosDbSettings	model interface CosmosDbSettings
CreateMonitorAction	model interface CreateMonitorAction
Cron	The workflow trigger cron for ComputeStartStop schedule type.
CronTrigger	model interface CronTrigger
CustomForecastHorizon	The desired maximum forecast horizon in units of time-series frequency.
CustomKeys	Custom Keys credential object
CustomKeysWorkspaceConnectionProperties	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
CustomMetricThreshold	model interface CustomMetricThreshold
CustomModelFineTuning	model interface CustomModelFineTuning
CustomModelJobInput	model interface CustomModelJobInput
CustomModelJobOutput	model interface CustomModelJobOutput
CustomMonitoringSignal	model interface CustomMonitoringSignal
CustomNCrossValidations	N-Cross validations are specified by user.
CustomSeasonality	model interface CustomSeasonality
CustomService	Specifies the custom service configuration
CustomTargetLags	model interface CustomTargetLags
CustomTargetRollingWindowSize	model interface CustomTargetRollingWindowSize
DataCollector	model interface DataCollector
DataContainer	Azure Resource Manager resource envelope.
DataContainerProperties	Container for data asset versions.
DataContainersCreateOrUpdateOptionalParams	Optional parameters.
DataContainersDeleteOptionalParams	Optional parameters.
DataContainersGetOptionalParams	Optional parameters.
DataContainersListOptionalParams	Optional parameters.
DataContainersOperations	Interface representing a DataContainers operations.
DataDriftMetricThresholdBase	model interface DataDriftMetricThresholdBase
DataDriftMonitoringSignal	model interface DataDriftMonitoringSignal
DataFactory	A DataFactory compute.
DataGenerationVertical	model interface DataGenerationVertical
DataLakeAnalytics	A DataLakeAnalytics compute.
DataLakeAnalyticsSchemaProperties	model interface DataLakeAnalyticsSchemaProperties
DataPathAssetReference	Reference to an asset via its path in a datastore.
DataQualityMetricThresholdBase	model interface DataQualityMetricThresholdBase
DataQualityMonitoringSignal	model interface DataQualityMonitoringSignal
DataReferenceCredential	DataReferenceCredential base class
DataVersionBase	Azure Resource Manager resource envelope.
DataVersionBaseProperties	Data version base definition
DataVersionsCreateOrUpdateOptionalParams	Optional parameters.
DataVersionsDeleteOptionalParams	Optional parameters.
DataVersionsGetOptionalParams	Optional parameters.
DataVersionsListOptionalParams	Optional parameters.
DataVersionsOperations	Interface representing a DataVersions operations.
DataVersionsPublishOptionalParams	Optional parameters.
Databricks	A DataFactory compute.
DatabricksComputeSecrets	Secrets related to a Machine Learning compute based on Databricks.
DatabricksProperties	Properties of Databricks
DatasetReference	Dataset reference object.
Datastore	Azure Resource Manager resource envelope.
DatastoreCredentials	Base definition for datastore credentials.
DatastoreProperties	Base definition for datastore contents configuration.
DatastoreSecrets	Base definition for datastore secrets.
DatastoresCreateOrUpdateOptionalParams	Optional parameters.
DatastoresDeleteOptionalParams	Optional parameters.
DatastoresGetOptionalParams	Optional parameters.
DatastoresListOptionalParams	Optional parameters.
DatastoresListSecretsOptionalParams	Optional parameters.
DatastoresOperations	Interface representing a Datastores operations.
DefaultScaleSettings	model interface DefaultScaleSettings
DeltaModelCurrentState	Contract for DeltaModelCurrentState.
DeltaModelListRequest	model interface DeltaModelListRequest
DeltaModelModifyRequest	Contract base for DeltaModelChangeRequest. Used for adding or removing.
DeltaModelStatusRequest	model interface DeltaModelStatusRequest
DeltaModelStatusResponse	Contract returning to user the delta models.
DeploymentLogs	model interface DeploymentLogs
DeploymentLogsRequest	model interface DeploymentLogsRequest
DeploymentResourceConfiguration	model interface DeploymentResourceConfiguration
DestinationAsset	Publishing destination registry asset information
DiagnoseRequestProperties	model interface DiagnoseRequestProperties
DiagnoseResponseResult	model interface DiagnoseResponseResult
DiagnoseResponseResultValue	model interface DiagnoseResponseResultValue
DiagnoseResult	Result of Diagnose
DiagnoseWorkspaceParameters	Parameters to diagnose a workspace
DistillationJob	Distillation Job definition.
DistributionConfiguration	Base definition for job distribution configuration.
Docker	model interface Docker
DockerCredential	Credential for docker with username and password
EarlyTerminationPolicy	Early termination policies enable canceling poor-performing runs before they complete
EncryptionKeyVaultUpdateProperties	model interface EncryptionKeyVaultUpdateProperties
EncryptionProperty	model interface EncryptionProperty
EncryptionUpdateProperties	model interface EncryptionUpdateProperties
Endpoint	model interface Endpoint
EndpointAuthKeys	Keys for endpoint authentication.
EndpointAuthToken	Service Token
EndpointCreateOrUpdateOptionalParams	Optional parameters.
EndpointDeploymentCreateOrUpdateOptionalParams	Optional parameters.
EndpointDeploymentDeleteOptionalParams	Optional parameters.
EndpointDeploymentGetInWorkspaceOptionalParams	Optional parameters.
EndpointDeploymentGetOptionalParams	Optional parameters.
EndpointDeploymentListOptionalParams	Optional parameters.
EndpointDeploymentModel	model interface EndpointDeploymentModel
EndpointDeploymentOperations	Interface representing a EndpointDeployment operations.
EndpointDeploymentPropertiesBase	Base definition for endpoint deployment.
EndpointDeploymentResourceProperties	model interface EndpointDeploymentResourceProperties
EndpointDeploymentResourcePropertiesBasicResource	EndpointDeploymentResourcePropertiesBasicResource is preview-only.
EndpointGetModelsOptionalParams	Optional parameters.
EndpointGetOptionalParams	Optional parameters.
EndpointKeys	model interface EndpointKeys
EndpointListKeysOptionalParams	Optional parameters.
EndpointListOptionalParams	Optional parameters.
EndpointModelDeprecationProperties	model interface EndpointModelDeprecationProperties
EndpointModelProperties	Endpoint Model properties.
EndpointModelSkuCapacityProperties	model interface EndpointModelSkuCapacityProperties
EndpointModelSkuProperties	model interface EndpointModelSkuProperties
EndpointModelSkuRateLimitProperties	model interface EndpointModelSkuRateLimitProperties
EndpointModelSkuRateLimitRulePatternProperties	model interface EndpointModelSkuRateLimitRulePatternProperties
EndpointModelSkuRateLimitRuleProperties	model interface EndpointModelSkuRateLimitRuleProperties
EndpointModels	Paged collection of EndpointModelProperties items
EndpointOperations	Interface representing a Endpoint operations.
EndpointPropertiesBase	Inference Endpoint base definition
EndpointRegenerateKeysOptionalParams	Optional parameters.
EndpointResourceProperties	model interface EndpointResourceProperties
EndpointResourcePropertiesBasicResource	EndpointResourcePropertiesBasicResource is a preview-only resource.
EndpointScheduleAction	model interface EndpointScheduleAction
EnvironmentContainer	Azure Resource Manager resource envelope.
EnvironmentContainerProperties	Container for environment specification versions.
EnvironmentContainersCreateOrUpdateOptionalParams	Optional parameters.
EnvironmentContainersDeleteOptionalParams	Optional parameters.
EnvironmentContainersGetOptionalParams	Optional parameters.
EnvironmentContainersListOptionalParams	Optional parameters.
EnvironmentContainersOperations	Interface representing a EnvironmentContainers operations.
EnvironmentVariable	model interface EnvironmentVariable
EnvironmentVersion	Azure Resource Manager resource envelope.
EnvironmentVersionProperties	Environment version details.
EnvironmentVersionsCreateOrUpdateOptionalParams	Optional parameters.
EnvironmentVersionsDeleteOptionalParams	Optional parameters.
EnvironmentVersionsGetOptionalParams	Optional parameters.
EnvironmentVersionsListOptionalParams	Optional parameters.
EnvironmentVersionsOperations	Interface representing a EnvironmentVersions operations.
EnvironmentVersionsPublishOptionalParams	Optional parameters.
ErrorAdditionalInfo	The resource management error additional info.
ErrorDetail	The error detail.
ErrorResponse	Common error response for all Azure Resource Manager APIs to return error details for failed operations.
EstimatedVMPrice	The estimated price info for using a VM of a particular OS type, tier, etc.
EstimatedVMPrices	The estimated price info for using a VM.
ExternalFqdnResponse	model interface ExternalFqdnResponse
Feature	Azure Resource Manager resource envelope.
FeatureAttributionDriftMonitoringSignal	model interface FeatureAttributionDriftMonitoringSignal
FeatureAttributionMetricThreshold	model interface FeatureAttributionMetricThreshold
FeatureImportanceSettings	model interface FeatureImportanceSettings
FeatureProperties	DTO object representing feature
FeatureStoreSettings	model interface FeatureStoreSettings
FeatureSubset	model interface FeatureSubset
FeatureWindow	Specifies the feature window
FeaturesGetOptionalParams	Optional parameters.
FeaturesListOptionalParams	Optional parameters.
FeaturesOperations	Interface representing a Features operations.
FeaturesetContainer	Azure Resource Manager resource envelope.
FeaturesetContainerProperties	DTO object representing feature set
FeaturesetContainersCreateOrUpdateOptionalParams	Optional parameters.
FeaturesetContainersDeleteOptionalParams	Optional parameters.
FeaturesetContainersGetEntityOptionalParams	Optional parameters.
FeaturesetContainersListOptionalParams	Optional parameters.
FeaturesetContainersOperations	Interface representing a FeaturesetContainers operations.
FeaturesetSpecification	DTO object representing specification
FeaturesetVersion	Azure Resource Manager resource envelope.
FeaturesetVersionBackfillRequest	Request payload for creating a backfill request for a given feature set version
FeaturesetVersionBackfillResponse	Response payload for creating a backfill request for a given feature set version
FeaturesetVersionProperties	DTO object representing feature set version
FeaturesetVersionsBackfillOptionalParams	Optional parameters.
FeaturesetVersionsCreateOrUpdateOptionalParams	Optional parameters.
FeaturesetVersionsDeleteOptionalParams	Optional parameters.
FeaturesetVersionsGetOptionalParams	Optional parameters.
FeaturesetVersionsListOptionalParams	Optional parameters.
FeaturesetVersionsOperations	Interface representing a FeaturesetVersions operations.
FeaturestoreEntityContainer	Azure Resource Manager resource envelope.
FeaturestoreEntityContainerProperties	DTO object representing feature entity
FeaturestoreEntityContainersCreateOrUpdateOptionalParams	Optional parameters.
FeaturestoreEntityContainersDeleteOptionalParams	Optional parameters.
FeaturestoreEntityContainersGetEntityOptionalParams	Optional parameters.
FeaturestoreEntityContainersListOptionalParams	Optional parameters.
FeaturestoreEntityContainersOperations	Interface representing a FeaturestoreEntityContainers operations.
FeaturestoreEntityVersion	Azure Resource Manager resource envelope.
FeaturestoreEntityVersionProperties	DTO object representing feature entity version
FeaturestoreEntityVersionsCreateOrUpdateOptionalParams	Optional parameters.
FeaturestoreEntityVersionsDeleteOptionalParams	Optional parameters.
FeaturestoreEntityVersionsGetOptionalParams	Optional parameters.
FeaturestoreEntityVersionsListOptionalParams	Optional parameters.
FeaturestoreEntityVersionsOperations	Interface representing a FeaturestoreEntityVersions operations.
FeaturizationSettings	Featurization Configuration.
FineTuningJob	FineTuning Job definition.
FineTuningVertical	model interface FineTuningVertical
FinetuningDetails	model interface FinetuningDetails
FixedInputData	Fixed input data definition.
FlavorData	model interface FlavorData
ForecastHorizon	The desired maximum forecast horizon in units of time-series frequency.
Forecasting	Forecasting task in AutoML Table vertical.
ForecastingSettings	Forecasting specific parameters.
ForecastingTrainingSettings	Forecasting Training related configuration.
FqdnEndpoint	model interface FqdnEndpoint
FqdnEndpointDetail	model interface FqdnEndpointDetail
FqdnEndpoints	model interface FqdnEndpoints
FqdnEndpointsPropertyBag	Property bag for FQDN endpoints result
FqdnOutboundRule	FQDN Outbound Rule for the managed network of a machine learning workspace.
GetBlobReferenceForConsumptionDto	model interface GetBlobReferenceForConsumptionDto
GetBlobReferenceSASRequestDto	BlobReferenceSASRequest for getBlobReferenceSAS API
GetBlobReferenceSASResponseDto	BlobReferenceSASResponse for getBlobReferenceSAS API
GridSamplingAlgorithm	Defines a Sampling Algorithm that exhaustively generates every value combination in the space
GroupEnvironmentConfiguration	Environment configuration options.
GroupModelConfiguration	Model configuration options.
GroupStatus	model interface GroupStatus
HDInsight	A HDInsight compute.
HDInsightProperties	HDInsight compute properties
IPRule	Contains an IPv4 address range in CIDR notation, such as '124.56.78.91' (simple IP address) or '124.56.78.0/24' (all addresses that start with 124.56.78). Value could be 'Allow' or 'Deny'.
IdAssetReference	Reference to an asset via its ARM resource ID.
IdentityConfiguration	Base definition for identity configuration.
IdentityForCmk	Identity object used for encryption.
IdleShutdownSetting	Stops compute instance after user defined period of inactivity.
Image	model interface Image
ImageClassification	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'.
ImageClassificationMultilabel	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'.
ImageDetails	model interface ImageDetails
ImageInfo	model interface ImageInfo
ImageInstanceSegmentation	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.
ImageLimitSettings	Limit settings for the AutoML job.
ImageMetadata	Returns metadata about the operating system image for this compute instance.
ImageModelDistributionSettings	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```</example> All distributions can be specified as distribution_name(min, max) or choice(val1, val2, ..., valn) where distribution name can be: uniform, quniform, loguniform, etc For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters 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.
ImageModelDistributionSettingsClassification	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```</example> For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters 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.
ImageModelDistributionSettingsObjectDetection	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```</example> For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters 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.
ImageModelSettings	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.
ImageModelSettingsClassification	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.
ImageModelSettingsObjectDetection	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.
ImageObjectDetection	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.
ImageSweepSettings	Model sweeping and hyperparameter sweeping related settings.
IndexColumn	DTO object representing index column
InferenceContainerProperties	model interface InferenceContainerProperties
InferenceEndpoint	InferenceEndpoint is a preview-only resource.
InferenceEndpointProperties	InferenceEndpoint configuration
InferenceEndpointsCreateOrUpdateOptionalParams	Optional parameters.
InferenceEndpointsDeleteOptionalParams	Optional parameters.
InferenceEndpointsGetOptionalParams	Optional parameters.
InferenceEndpointsListOptionalParams	Optional parameters.
InferenceEndpointsOperations	Interface representing a InferenceEndpoints operations.
InferenceEndpointsUpdateOptionalParams	Optional parameters.
InferenceGroup	InferenceGroup is a preview-only resource.
InferenceGroupProperties	Inference group configuration
InferenceGroupsCreateOrUpdateOptionalParams	Optional parameters.
InferenceGroupsDeleteOptionalParams	Optional parameters.
InferenceGroupsGetDeltaModelsStatusAsyncOptionalParams	Optional parameters.
InferenceGroupsGetOptionalParams	Optional parameters.
InferenceGroupsGetStatusOptionalParams	Optional parameters.
InferenceGroupsListDeltaModelsAsyncOptionalParams	Optional parameters.
InferenceGroupsListOptionalParams	Optional parameters.
InferenceGroupsListSkusOptionalParams	Optional parameters.
InferenceGroupsModifyDeltaModelsAsyncOptionalParams	Optional parameters.
InferenceGroupsOperations	Interface representing a InferenceGroups operations.
InferenceGroupsUpdateOptionalParams	Optional parameters.
InferencePool	InferencePool is a preview-only resource.
InferencePoolProperties	Inference pool configuration
InferencePoolsCreateOrUpdateOptionalParams	Optional parameters.
InferencePoolsDeleteOptionalParams	Optional parameters.
InferencePoolsGetOptionalParams	Optional parameters.
InferencePoolsListOptionalParams	Optional parameters.
InferencePoolsOperations	Interface representing a InferencePools operations.
InferencePoolsUpdateOptionalParams	Optional parameters.
InstanceTypeSchema	Instance type schema.
InstanceTypeSchemaResources	Resource requests/limits for this instance type
JobBase	Azure Resource Manager resource envelope.
JobBaseProperties	Base definition for a job.
JobInput	Command job definition.
JobLimits	model interface JobLimits
JobOutput	Job output definition container information on where to find job output/logs.
JobResourceConfiguration	model interface JobResourceConfiguration
JobResources	model interface JobResources
JobScheduleAction	model interface JobScheduleAction
JobService	Job endpoint definition
JobsCancelOptionalParams	Optional parameters.
JobsCreateOrUpdateOptionalParams	Optional parameters.
JobsDeleteOptionalParams	Optional parameters.
JobsGetOptionalParams	Optional parameters.
JobsListOptionalParams	Optional parameters.
JobsOperations	Interface representing a Jobs operations.
JupyterKernelConfig	Jupyter kernel configuration.
KeyVaultProperties	Customer Key vault properties.
Kubernetes	A Machine Learning compute based on Kubernetes Compute.
KubernetesOnlineDeployment	Properties specific to a KubernetesOnlineDeployment.
KubernetesProperties	Kubernetes properties
LabelGeneration	model interface LabelGeneration
LakeHouseArtifact	model interface LakeHouseArtifact
ListNotebookKeysResult	model interface ListNotebookKeysResult
ListStorageAccountKeysResult	model interface ListStorageAccountKeysResult
ListWorkspaceKeysResult	model interface ListWorkspaceKeysResult
LiteralJobInput	Literal input type.
MLFlowModelJobInput	model interface MLFlowModelJobInput
MLFlowModelJobOutput	model interface MLFlowModelJobOutput
MLTableData	MLTable data definition
MLTableJobInput	model interface MLTableJobInput
MLTableJobOutput	model interface MLTableJobOutput
ManagedComputeIdentity	Managed compute identity definition.
ManagedIdentity	Managed identity configuration.
ManagedIdentityAuthTypeWorkspaceConnectionProperties	model interface ManagedIdentityAuthTypeWorkspaceConnectionProperties
ManagedIdentityCredential	Credential for user managed identity
ManagedNetworkProvisionOptions	Managed Network Provisioning options for managed network of a machine learning workspace.
ManagedNetworkProvisionStatus	Status of the Provisioning for the managed network of a machine learning workspace.
ManagedNetworkProvisionsOperations	Interface representing a ManagedNetworkProvisions operations.
ManagedNetworkProvisionsProvisionManagedNetworkOptionalParams	Optional parameters.
ManagedNetworkSettings	Managed Network settings for a machine learning workspace.
ManagedNetworkSettingsBasicResource	model interface ManagedNetworkSettingsBasicResource
ManagedNetworkSettingsEx	model interface ManagedNetworkSettingsEx
ManagedNetworkSettingsGetOptionalParams	Optional parameters.
ManagedNetworkSettingsListOptionalParams	Optional parameters.
ManagedNetworkSettingsOperations	Interface representing a ManagedNetworkSettings operations.
ManagedNetworkSettingsPatchOptionalParams	Optional parameters.
ManagedNetworkSettingsProperties	The properties of the managed network settings of a machine learning workspace.
ManagedNetworkSettingsPropertiesBasicResource	ManagedNetworkSettingsPropertiesBasicResource is a preview-only resource.
ManagedNetworkSettingsPutOptionalParams	Optional parameters.
ManagedNetworkSettingsRuleCreateOrUpdateOptionalParams	Optional parameters.
ManagedNetworkSettingsRuleDeleteOptionalParams	Optional parameters.
ManagedNetworkSettingsRuleGetOptionalParams	Optional parameters.
ManagedNetworkSettingsRuleListOptionalParams	Optional parameters.
ManagedNetworkSettingsRuleOperations	Interface representing a ManagedNetworkSettingsRule operations.
ManagedOnlineDeployment	Properties specific to a ManagedOnlineDeployment.
ManagedOnlineEndpointDeploymentResourceProperties	model interface ManagedOnlineEndpointDeploymentResourceProperties
ManagedOnlineEndpointResourceProperties	model interface ManagedOnlineEndpointResourceProperties
ManagedResourceGroupAssignedIdentities	Details for managed resource group assigned identities.
ManagedResourceGroupSettings	Managed resource group settings
ManagedServiceIdentity	Managed service identity (system assigned and/or user assigned identities)
MarketplacePlan	model interface MarketplacePlan
MarketplaceSubscription	Azure Resource Manager resource envelope.
MarketplaceSubscriptionProperties	model interface MarketplaceSubscriptionProperties
MarketplaceSubscriptionsCreateOrUpdateOptionalParams	Optional parameters.
MarketplaceSubscriptionsDeleteOptionalParams	Optional parameters.
MarketplaceSubscriptionsGetOptionalParams	Optional parameters.
MarketplaceSubscriptionsListOptionalParams	Optional parameters.
MarketplaceSubscriptionsOperations	Interface representing a MarketplaceSubscriptions operations.
MaterializationComputeResource	DTO object representing compute resource
MaterializationSettings	model interface MaterializationSettings
MedianStoppingPolicy	Defines an early termination policy based on running averages of the primary metric of all runs
ModelContainer	Azure Resource Manager resource envelope.
ModelContainerProperties	model interface ModelContainerProperties
ModelContainersCreateOrUpdateOptionalParams	Optional parameters.
ModelContainersDeleteOptionalParams	Optional parameters.
ModelContainersGetOptionalParams	Optional parameters.
ModelContainersListOptionalParams	Optional parameters.
ModelContainersOperations	Interface representing a ModelContainers operations.
ModelSettings	model interface ModelSettings
ModelVersion	Azure Resource Manager resource envelope.
ModelVersionProperties	Model asset version details.
ModelVersionsCreateOrUpdateOptionalParams	Optional parameters.
ModelVersionsDeleteOptionalParams	Optional parameters.
ModelVersionsGetOptionalParams	Optional parameters.
ModelVersionsListOptionalParams	Optional parameters.
ModelVersionsOperations	Interface representing a ModelVersions operations.
ModelVersionsPublishOptionalParams	Optional parameters.
MonitorComputeConfigurationBase	Monitor compute configuration base definition.
MonitorComputeIdentityBase	Monitor compute identity base definition.
MonitorDefinition	model interface MonitorDefinition
MonitorEmailNotificationSettings	model interface MonitorEmailNotificationSettings
MonitorNotificationSettings	model interface MonitorNotificationSettings
MonitorServerlessSparkCompute	Monitor serverless spark compute definition.
MonitoringFeatureFilterBase	model interface MonitoringFeatureFilterBase
MonitoringInputDataBase	Monitoring input data base definition.
MonitoringSignalBase	model interface MonitoringSignalBase
MonitoringTarget	Monitoring target definition.
MonitoringThreshold	model interface MonitoringThreshold
Mpi	MPI distribution configuration.
NCrossValidations	N-Cross validations value.
NetworkAcls	model interface NetworkAcls
NlpVerticalFeaturizationSettings	model interface NlpVerticalFeaturizationSettings
NlpVerticalLimitSettings	Job execution constraints.
NodeStateCounts	Counts of various compute node states on the amlCompute.
Nodes	Abstract Nodes definition
NoneAuthTypeWorkspaceConnectionProperties	model interface NoneAuthTypeWorkspaceConnectionProperties
NoneDatastoreCredentials	Empty/none datastore credentials.
NotebookAccessTokenResult	model interface NotebookAccessTokenResult
NotebookPreparationError	model interface NotebookPreparationError
NotebookResourceInfo	model interface NotebookResourceInfo
NotificationSetting	Configuration for notification.
NumericalDataDriftMetricThreshold	model interface NumericalDataDriftMetricThreshold
NumericalDataQualityMetricThreshold	model interface NumericalDataQualityMetricThreshold
NumericalPredictionDriftMetricThreshold	model interface NumericalPredictionDriftMetricThreshold
OAuth2AuthTypeWorkspaceConnectionProperties	model interface OAuth2AuthTypeWorkspaceConnectionProperties
Objective	Optimization objective.
OneLakeArtifact	OneLake artifact (data source) configuration.
OneLakeDatastore	OneLake (Trident) datastore configuration.
OnlineDeployment	Concrete tracked resource types can be created by aliasing this type using a specific property type.
OnlineDeploymentProperties	model interface OnlineDeploymentProperties
OnlineDeploymentsCreateOrUpdateOptionalParams	Optional parameters.
OnlineDeploymentsDeleteOptionalParams	Optional parameters.
OnlineDeploymentsGetLogsOptionalParams	Optional parameters.
OnlineDeploymentsGetOptionalParams	Optional parameters.
OnlineDeploymentsListOptionalParams	Optional parameters.
OnlineDeploymentsListSkusOptionalParams	Optional parameters.
OnlineDeploymentsOperations	Interface representing a OnlineDeployments operations.
OnlineDeploymentsUpdateOptionalParams	Optional parameters.
OnlineEndpoint	Concrete tracked resource types can be created by aliasing this type using a specific property type.
OnlineEndpointProperties	Online endpoint configuration
OnlineEndpointsCreateOrUpdateOptionalParams	Optional parameters.
OnlineEndpointsDeleteOptionalParams	Optional parameters.
OnlineEndpointsGetOptionalParams	Optional parameters.
OnlineEndpointsGetTokenOptionalParams	Optional parameters.
OnlineEndpointsListKeysOptionalParams	Optional parameters.
OnlineEndpointsListOptionalParams	Optional parameters.
OnlineEndpointsOperations	Interface representing a OnlineEndpoints operations.
OnlineEndpointsRegenerateKeysOptionalParams	Optional parameters.
OnlineEndpointsUpdateOptionalParams	Optional parameters.
OnlineRequestSettings	Online deployment scoring requests configuration.
OnlineScaleSettings	Online deployment scaling configuration.
OpenAIEndpointDeploymentResourceProperties	model interface OpenAIEndpointDeploymentResourceProperties
OpenAIEndpointResourceProperties	model interface OpenAIEndpointResourceProperties
Operation	Details of a REST API operation, returned from the Resource Provider Operations API
OperationDisplay	Localized display information for an operation.
OperationsListOptionalParams	Optional parameters.
OperationsOperations	Interface representing a Operations operations.
OsPatchingStatus	Returns metadata about the os patching.
OutboundRule	Outbound Rule for the managed network of a machine learning workspace.
OutboundRuleBasicResource	Concrete proxy resource types can be created by aliasing this type using a specific property type.
OutboundRuleCreateOrUpdateOptionalParams	Optional parameters.
OutboundRuleDeleteOptionalParams	Optional parameters.
OutboundRuleGetOptionalParams	Optional parameters.
OutboundRuleListOptionalParams	Optional parameters.
OutboundRuleOperations	Interface representing a OutboundRule operations.
OutboundRulesOperations	Interface representing a OutboundRules operations.
OutboundRulesPostOptionalParams	Optional parameters.
OutputPathAssetReference	Reference to an asset via its path in a job output.
PATAuthTypeWorkspaceConnectionProperties	model interface PATAuthTypeWorkspaceConnectionProperties
PTUDeploymentUsage	model interface PTUDeploymentUsage
PTUQuotaGetAvailableOptionalParams	Optional parameters.
PTUQuotaListAvailableOptionalParams	Optional parameters.
PTUQuotaListOptionalParams	Optional parameters.
PTUQuotaOperations	Interface representing a PTUQuota operations.
PackageDetails	model interface PackageDetails
PageSettings	Options for the byPage method
PagedAsyncIterableIterator	An interface that allows async iterable iteration both to completion and by page.
PartialBatchDeployment	Mutable batch inference settings per deployment.
PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties	Strictly used in update requests.
PartialManagedServiceIdentity	Managed service identity (system assigned and/or user assigned identities)
PartialMinimalTrackedResource	Strictly used in update requests.
PartialMinimalTrackedResourceWithIdentity	Strictly used in update requests.
PartialMinimalTrackedResourceWithSku	Strictly used in update requests.
PartialMinimalTrackedResourceWithSkuAndIdentity	Strictly used in update requests.
PartialRegistryPartialTrackedResource	Strictly used in update requests.
PartialSku	Common SKU definition.
Password	model interface Password
PendingUploadCredentialDto	model interface PendingUploadCredentialDto
PendingUploadRequestDto	model interface PendingUploadRequestDto
PendingUploadResponseDto	model interface PendingUploadResponseDto
PersonalComputeInstanceSettings	Settings for a personal compute instance.
PipelineJob	Pipeline Job definition: defines generic to MFE attributes.
PredictionDriftMetricThresholdBase	model interface PredictionDriftMetricThresholdBase
PredictionDriftMonitoringSignal	model interface PredictionDriftMonitoringSignal
PrivateEndpoint	The private endpoint resource.
PrivateEndpointConnection	The Private Endpoint Connection resource.
PrivateEndpointConnectionProperties	Private endpoint connection properties.
PrivateEndpointConnectionsCreateOrUpdateOptionalParams	Optional parameters.
PrivateEndpointConnectionsDeleteOptionalParams	Optional parameters.
PrivateEndpointConnectionsGetOptionalParams	Optional parameters.
PrivateEndpointConnectionsListOptionalParams	Optional parameters.
PrivateEndpointConnectionsOperations	Interface representing a PrivateEndpointConnections operations.
PrivateEndpointDestination	Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PrivateEndpointOutboundRule	Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PrivateEndpointResource	The PE network resource that is linked to this PE connection.
PrivateLinkResource	A private link resource
PrivateLinkResourceProperties	Properties of a private link resource.
PrivateLinkResourcesListOptionalParams	Optional parameters.
PrivateLinkResourcesOperations	Interface representing a PrivateLinkResources operations.
PrivateLinkServiceConnectionState	A collection of information about the state of the connection between service consumer and provider.
ProbeSettings	Deployment container liveness/readiness probe configuration.
PromptSettings	model interface PromptSettings
PropertiesBase	Base definition for pool resources.
ProxyResource	The resource model definition for a Azure Resource Manager proxy resource. It will not have tags and a location
PyTorch	PyTorch distribution configuration.
QueueSettings	model interface QueueSettings
QuotaBaseProperties	The properties for Quota update or retrieval.
QuotaUpdateParameters	Quota update parameters.
QuotasListOptionalParams	Optional parameters.
QuotasOperations	Interface representing a Quotas operations.
QuotasUpdateOptionalParams	Optional parameters.
RaiBlocklistConfig	Azure OpenAI blocklist config.
RaiBlocklistItemBulkRequest	The Cognitive Services RaiBlocklist Item request body.
RaiBlocklistItemProperties	RAI Custom Blocklist Item properties.
RaiBlocklistItemPropertiesBasicResource	RaiBlocklistItemPropertiesBasicResource is a preview-only resource.
RaiBlocklistProperties	RAI Custom Blocklist properties.
RaiBlocklistPropertiesBasicResource	RaiBlocklistPropertiesBasicResource is a preview-only resource.
RaiPoliciesListOptionalParams	Optional parameters.
RaiPoliciesOperations	Interface representing a RaiPolicies operations.
RaiPolicyContentFilter	Azure OpenAI Content Filter.
RaiPolicyCreateOptionalParams	Optional parameters.
RaiPolicyDeleteOptionalParams	Optional parameters.
RaiPolicyGetOptionalParams	Optional parameters.
RaiPolicyOperations	Interface representing a RaiPolicy operations.
RaiPolicyProperties	Azure OpenAI Content Filters properties.
RaiPolicyPropertiesBasicResource	Azure OpenAI Content Filters resource.
RandomSamplingAlgorithm	Defines a Sampling Algorithm that generates values randomly
Ray	Ray distribution configuration. A class for managing the configuration for a distributed Ray job.
Recurrence	The workflow trigger recurrence for ComputeStartStop schedule type.
RecurrenceSchedule	model interface RecurrenceSchedule
RecurrenceTrigger	model interface RecurrenceTrigger
RegenerateEndpointKeysRequest	model interface RegenerateEndpointKeysRequest
RegenerateServiceAccountKeyContent	model interface RegenerateServiceAccountKeyContent
RegistriesCreateOrUpdateOptionalParams	Optional parameters.
RegistriesDeleteOptionalParams	Optional parameters.
RegistriesGetOptionalParams	Optional parameters.
RegistriesListBySubscriptionOptionalParams	Optional parameters.
RegistriesListOptionalParams	Optional parameters.
RegistriesOperations	Interface representing a Registries operations.
RegistriesRemoveRegionsOptionalParams	Optional parameters.
RegistriesUpdateOptionalParams	Optional parameters.
Registry	Concrete tracked resource types can be created by aliasing this type using a specific property type.
RegistryCodeContainersCreateOrUpdateOptionalParams	Optional parameters.
RegistryCodeContainersDeleteOptionalParams	Optional parameters.
RegistryCodeContainersGetOptionalParams	Optional parameters.
RegistryCodeContainersListOptionalParams	Optional parameters.
RegistryCodeContainersOperations	Interface representing a RegistryCodeContainers operations.
RegistryCodeVersionsCreateOrGetStartPendingUploadOptionalParams	Optional parameters.
RegistryCodeVersionsCreateOrUpdateOptionalParams	Optional parameters.
RegistryCodeVersionsDeleteOptionalParams	Optional parameters.
RegistryCodeVersionsGetOptionalParams	Optional parameters.
RegistryCodeVersionsListOptionalParams	Optional parameters.
RegistryCodeVersionsOperations	Interface representing a RegistryCodeVersions operations.
RegistryComponentContainersCreateOrUpdateOptionalParams	Optional parameters.
RegistryComponentContainersDeleteOptionalParams	Optional parameters.
RegistryComponentContainersGetOptionalParams	Optional parameters.
RegistryComponentContainersListOptionalParams	Optional parameters.
RegistryComponentContainersOperations	Interface representing a RegistryComponentContainers operations.
RegistryComponentVersionsCreateOrUpdateOptionalParams	Optional parameters.
RegistryComponentVersionsDeleteOptionalParams	Optional parameters.
RegistryComponentVersionsGetOptionalParams	Optional parameters.
RegistryComponentVersionsListOptionalParams	Optional parameters.
RegistryComponentVersionsOperations	Interface representing a RegistryComponentVersions operations.
RegistryDataContainersCreateOrUpdateOptionalParams	Optional parameters.
RegistryDataContainersDeleteOptionalParams	Optional parameters.
RegistryDataContainersGetOptionalParams	Optional parameters.
RegistryDataContainersListOptionalParams	Optional parameters.
RegistryDataContainersOperations	Interface representing a RegistryDataContainers operations.
RegistryDataReferencesGetBlobReferenceSASOptionalParams	Optional parameters.
RegistryDataReferencesOperations	Interface representing a RegistryDataReferences operations.
RegistryDataVersionsCreateOrGetStartPendingUploadOptionalParams	Optional parameters.
RegistryDataVersionsCreateOrUpdateOptionalParams	Optional parameters.
RegistryDataVersionsDeleteOptionalParams	Optional parameters.
RegistryDataVersionsGetOptionalParams	Optional parameters.
RegistryDataVersionsListOptionalParams	Optional parameters.
RegistryDataVersionsOperations	Interface representing a RegistryDataVersions operations.
RegistryEnvironmentContainersCreateOrUpdateOptionalParams	Optional parameters.
RegistryEnvironmentContainersDeleteOptionalParams	Optional parameters.
RegistryEnvironmentContainersGetOptionalParams	Optional parameters.
RegistryEnvironmentContainersListOptionalParams	Optional parameters.
RegistryEnvironmentContainersOperations	Interface representing a RegistryEnvironmentContainers operations.
RegistryEnvironmentVersionsCreateOrUpdateOptionalParams	Optional parameters.
RegistryEnvironmentVersionsDeleteOptionalParams	Optional parameters.
RegistryEnvironmentVersionsGetOptionalParams	Optional parameters.
RegistryEnvironmentVersionsListOptionalParams	Optional parameters.
RegistryEnvironmentVersionsOperations	Interface representing a RegistryEnvironmentVersions operations.
RegistryListCredentialsResult	model interface RegistryListCredentialsResult
RegistryModelContainersCreateOrUpdateOptionalParams	Optional parameters.
RegistryModelContainersDeleteOptionalParams	Optional parameters.
RegistryModelContainersGetOptionalParams	Optional parameters.
RegistryModelContainersListOptionalParams	Optional parameters.
RegistryModelContainersOperations	Interface representing a RegistryModelContainers operations.
RegistryModelVersionsCreateOrGetStartPendingUploadOptionalParams	Optional parameters.
RegistryModelVersionsCreateOrUpdateOptionalParams	Optional parameters.
RegistryModelVersionsDeleteOptionalParams	Optional parameters.
RegistryModelVersionsGetOptionalParams	Optional parameters.
RegistryModelVersionsListOptionalParams	Optional parameters.
RegistryModelVersionsOperations	Interface representing a RegistryModelVersions operations.
RegistryPartialManagedServiceIdentity	Managed service identity (system assigned and/or user assigned identities)
RegistryPrivateEndpointConnection	Private endpoint connection definition.
RegistryPrivateEndpointConnectionProperties	Properties of the Private Endpoint Connection
RegistryPrivateLinkServiceConnectionState	The connection state.
RegistryProperties	Details of the Registry
RegistryRegionArmDetails	Details for each region the registry is in
Regression	Regression task in AutoML Table vertical.
RegressionTrainingSettings	Regression Training related configuration.
RequestConfiguration	Scoring requests configuration.
RequestLogging	model interface RequestLogging
ResizeSchema	Schema for Compute Instance resize.
Resource	Common fields that are returned in the response for all Azure Resource Manager resources
ResourceBase	model interface ResourceBase
ResourceConfiguration	model interface ResourceConfiguration
ResourceId	Represents a resource ID. For example, for a subnet, it is the resource URL for the subnet.
ResourceName	The Resource Name.
ResourceQuota	The quota assigned to a resource.
RestorePollerOptions
RollingInputData	Rolling input data definition.
Route	model interface Route
SASAuthTypeWorkspaceConnectionProperties	model interface SASAuthTypeWorkspaceConnectionProperties
SASCredential	Access with full SAS uri
SASCredentialDto	model interface SASCredentialDto
SamplingAlgorithm	The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm
SasDatastoreCredentials	SAS datastore credentials configuration.
SasDatastoreSecrets	Datastore SAS secrets.
ScaleSettings	scale settings for AML Compute
ScaleSettingsInformation	Desired scale settings for the amlCompute.
ScaleUnitConfiguration	Configuration for ScaleUnit pool.
Schedule	Azure Resource Manager resource envelope.
ScheduleActionBase	model interface ScheduleActionBase
ScheduleBase	model interface ScheduleBase
ScheduleProperties	Base definition of a schedule
SchedulesCreateOrUpdateOptionalParams	Optional parameters.
SchedulesDeleteOptionalParams	Optional parameters.
SchedulesGetOptionalParams	Optional parameters.
SchedulesListOptionalParams	Optional parameters.
SchedulesOperations	Interface representing a Schedules operations.
ScriptReference	Script reference
ScriptsToExecute	Customized setup scripts
Seasonality	Forecasting seasonality.
SecretExpiry	Secret expiration configuration.
ServerlessComputeSettings	model interface ServerlessComputeSettings
ServerlessEndpoint	Concrete tracked resource types can be created by aliasing this type using a specific property type.
ServerlessEndpointCapacityReservation	model interface ServerlessEndpointCapacityReservation
ServerlessEndpointContentSafety	model interface ServerlessEndpointContentSafety
ServerlessEndpointInferenceEndpoint	model interface ServerlessEndpointInferenceEndpoint
ServerlessEndpointModelSettings	model interface ServerlessEndpointModelSettings
ServerlessEndpointProperties	model interface ServerlessEndpointProperties
ServerlessEndpointResourceProperties	model interface ServerlessEndpointResourceProperties
ServerlessEndpointsCreateOrUpdateOptionalParams	Optional parameters.
ServerlessEndpointsDeleteOptionalParams	Optional parameters.
ServerlessEndpointsGetOptionalParams	Optional parameters.
ServerlessEndpointsListKeysOptionalParams	Optional parameters.
ServerlessEndpointsListOptionalParams	Optional parameters.
ServerlessEndpointsOperations	Interface representing a ServerlessEndpoints operations.
ServerlessEndpointsRegenerateKeysOptionalParams	Optional parameters.
ServerlessEndpointsUpdateOptionalParams	Optional parameters.
ServerlessInferenceEndpoint	model interface ServerlessInferenceEndpoint
ServerlessOffer	model interface ServerlessOffer
ServiceManagedResourcesSettings	model interface ServiceManagedResourcesSettings
ServicePrincipalAuthTypeWorkspaceConnectionProperties	model interface ServicePrincipalAuthTypeWorkspaceConnectionProperties
ServicePrincipalDatastoreCredentials	Service Principal datastore credentials configuration.
ServicePrincipalDatastoreSecrets	Datastore Service Principal secrets.
ServiceTagDestination	Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
ServiceTagOutboundRule	Service Tag Outbound Rule for the managed network of a machine learning workspace.
SetupScripts	Details of customized scripts to execute for setting up the cluster.
SharedPrivateLinkResource	model interface SharedPrivateLinkResource
SharedPrivateLinkResourceProperty	Properties of a shared private link resource.
SimplePollerLike	A simple poller that can be used to poll a long running operation.
Sku	The resource model definition representing SKU
SkuCapacity	SKU capacity information
SkuResource	Fulfills ARM Contract requirement to list all available SKUS for a resource.
SkuSetting	SkuSetting fulfills the need for stripped down SKU info in ARM contract.
SparkJob	Spark job definition.
SparkJobEntry	Spark job entry point definition.
SparkJobPythonEntry	model interface SparkJobPythonEntry
SparkJobScalaEntry	model interface SparkJobScalaEntry
SparkResourceConfiguration	model interface SparkResourceConfiguration
SpeechEndpointDeploymentResourceProperties	model interface SpeechEndpointDeploymentResourceProperties
SpeechEndpointResourceProperties	model interface SpeechEndpointResourceProperties
SslConfiguration	The ssl configuration for scoring
StackEnsembleSettings	Advances setting to customize StackEnsemble run.
StaticInputData	Static input data definition.
StorageAccountDetails	Details of storage account to be used for the Registry
StringStringKeyValuePair	model interface StringStringKeyValuePair
SweepJob	Sweep job definition.
SweepJobLimits	Sweep Job limit class.
SynapseSpark	A SynapseSpark compute.
SynapseSparkProperties	model interface SynapseSparkProperties
SystemCreatedAcrAccount	model interface SystemCreatedAcrAccount
SystemCreatedStorageAccount	model interface SystemCreatedStorageAccount
SystemData	Metadata pertaining to creation and last modification of the resource.
SystemService	A system service running on a compute.
TableVerticalFeaturizationSettings	Featurization Configuration.
TableVerticalLimitSettings	Job execution constraints.
TargetLags	The number of past periods to lag from the target column.
TargetRollingWindowSize	Forecasting target rolling window size.
TargetUtilizationScaleSettings	model interface TargetUtilizationScaleSettings
TeacherModelEndpoint	model interface TeacherModelEndpoint
TeacherModelEndpointRequestSettings	model interface TeacherModelEndpointRequestSettings
TeacherModelSettings	model interface TeacherModelSettings
TensorFlow	TensorFlow distribution configuration.
TextClassification	Text Classification task in AutoML NLP vertical. NLP - Natural Language Processing.
TextClassificationMultilabel	Text Classification Multilabel task in AutoML NLP vertical. NLP - Natural Language Processing.
TextNer	Text-NER task in AutoML NLP vertical. NER - Named Entity Recognition. NLP - Natural Language Processing.
TmpfsOptions	model interface TmpfsOptions
TopNFeaturesByAttribution	model interface TopNFeaturesByAttribution
TrackedResource	The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'
TrainingSettings	Training related configuration.
TrialComponent	Trial component definition.
TriggerBase	model interface TriggerBase
TritonModelJobInput	model interface TritonModelJobInput
TritonModelJobOutput	model interface TritonModelJobOutput
TruncationSelectionPolicy	Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
UpdateWorkspaceQuotas	The properties for update Quota response.
UpdateWorkspaceQuotasResult	The result of update workspace quota.
UriFileDataVersion	uri-file data version entity
UriFileJobInput	model interface UriFileJobInput
UriFileJobOutput	model interface UriFileJobOutput
UriFolderDataVersion	uri-folder data version entity
UriFolderJobInput	model interface UriFolderJobInput
UriFolderJobOutput	model interface UriFolderJobOutput
Usage	Describes AML Resource Usage.
UsageAndQuotaDetails	model interface UsageAndQuotaDetails
UsageName	The Usage Names.
UsagesListOptionalParams	Optional parameters.
UsagesOperations	Interface representing a Usages operations.
UserAccountCredentials	Settings for user account that gets created on each on the nodes of a compute.
UserAssignedIdentity	User assigned identity properties
UserIdentity	User identity configuration.
UsernamePasswordAuthTypeWorkspaceConnectionProperties	model interface UsernamePasswordAuthTypeWorkspaceConnectionProperties
VirtualMachine	A Machine Learning compute based on Azure Virtual Machines.
VirtualMachineImage	Virtual Machine image for Windows AML Compute
VirtualMachineSchemaProperties	model interface VirtualMachineSchemaProperties
VirtualMachineSecrets	Secrets related to a Machine Learning compute based on AKS.
VirtualMachineSize	Describes the properties of a VM size.
VirtualMachineSizeListResult	The List Virtual Machine size operation response.
VirtualMachineSizesListOptionalParams	Optional parameters.
VirtualMachineSizesOperations	Interface representing a VirtualMachineSizes operations.
VirtualMachineSshCredentials	Admin credentials for virtual machine
VolumeDefinition	model interface VolumeDefinition
VolumeOptions	model interface VolumeOptions
VulnerabilityDetails	model interface VulnerabilityDetails
VulnerabilityFindings	model interface VulnerabilityFindings
Webhook	Webhook base
Workspace	An object that represents a machine learning workspace.
WorkspaceConnectionAccessKey	model interface WorkspaceConnectionAccessKey
WorkspaceConnectionAccountKey	Account key object for workspace connection credential.
WorkspaceConnectionApiKey	Api key object for workspace connection credential.
WorkspaceConnectionManagedIdentity	model interface WorkspaceConnectionManagedIdentity
WorkspaceConnectionOAuth2	ClientId and ClientSecret are required. Other properties are optional depending on each OAuth2 provider's implementation.
WorkspaceConnectionPersonalAccessToken	model interface WorkspaceConnectionPersonalAccessToken
WorkspaceConnectionPropertiesV2	model interface WorkspaceConnectionPropertiesV2
WorkspaceConnectionPropertiesV2BasicResource	Concrete proxy resource types can be created by aliasing this type using a specific property type.
WorkspaceConnectionServicePrincipal	model interface WorkspaceConnectionServicePrincipal
WorkspaceConnectionSharedAccessSignature	model interface WorkspaceConnectionSharedAccessSignature
WorkspaceConnectionUpdateParameter	The properties that the machine learning workspace connection will be updated with.
WorkspaceConnectionUsernamePassword	model interface WorkspaceConnectionUsernamePassword
WorkspaceConnectionsCreateOptionalParams	Optional parameters.
WorkspaceConnectionsDeleteOptionalParams	Optional parameters.
WorkspaceConnectionsGetOptionalParams	Optional parameters.
WorkspaceConnectionsListOptionalParams	Optional parameters.
WorkspaceConnectionsListSecretsOptionalParams	Optional parameters.
WorkspaceConnectionsOperations	Interface representing a WorkspaceConnections operations.
WorkspaceConnectionsTestConnectionOptionalParams	Optional parameters.
WorkspaceConnectionsUpdateOptionalParams	Optional parameters.
WorkspaceFeaturesListOptionalParams	Optional parameters.
WorkspaceFeaturesOperations	Interface representing a WorkspaceFeatures operations.
WorkspaceHubConfig	WorkspaceHub's configuration object.
WorkspacePrivateEndpointResource	The Private Endpoint resource.
WorkspaceProperties	The properties of a machine learning workspace.
WorkspacePropertiesUpdateParameters	The parameters for updating a machine learning workspace.
WorkspaceUpdateParameters	The parameters for updating a machine learning workspace.
WorkspacesCreateOrUpdateOptionalParams	Optional parameters.
WorkspacesDeleteOptionalParams	Optional parameters.
WorkspacesDiagnoseOptionalParams	Optional parameters.
WorkspacesGetOptionalParams	Optional parameters.
WorkspacesListByResourceGroupOptionalParams	Optional parameters.
WorkspacesListBySubscriptionOptionalParams	Optional parameters.
WorkspacesListKeysOptionalParams	Optional parameters.
WorkspacesListNotebookAccessTokenOptionalParams	Optional parameters.
WorkspacesListNotebookKeysOptionalParams	Optional parameters.
WorkspacesListOutboundNetworkDependenciesEndpointsOptionalParams	Optional parameters.
WorkspacesListStorageAccountKeysOptionalParams	Optional parameters.
WorkspacesOperations	Interface representing a Workspaces operations.
WorkspacesPrepareNotebookOptionalParams	Optional parameters.
WorkspacesResyncKeysOptionalParams	Optional parameters.
WorkspacesUpdateOptionalParams	Optional parameters.

Type Aliases

ActionType	Extensible enum. Indicates the action type. "Internal" refers to actions that are for internal only APIs. KnownActionType can be used interchangeably with ActionType, this enum contains the known values that the service supports. Known values supported by the service Internal: Actions are for internal-only APIs.
AllocationState	Allocation state of the compute. Possible values are: steady - Indicates that the compute is not resizing. There are no changes to the number of compute nodes in the compute in progress. A compute enters this state when it is created and when no operations are being performed on the compute to change the number of compute nodes. resizing - Indicates that the compute is resizing; that is, compute nodes are being added to or removed from the compute. KnownAllocationState can be used interchangeably with AllocationState, this enum contains the known values that the service supports. Known values supported by the service Steady Resizing
AllowedContentLevel	Level at which content is filtered. KnownAllowedContentLevel can be used interchangeably with AllowedContentLevel, this enum contains the known values that the service supports. Known values supported by the service Low Medium High
ApplicationSharingPolicy	Policy for sharing applications on this compute instance among users of parent workspace. If Personal, only the creator can access applications on this compute instance. When Shared, any workspace user can access applications on this instance depending on his/her assigned role. KnownApplicationSharingPolicy can be used interchangeably with ApplicationSharingPolicy, this enum contains the known values that the service supports. Known values supported by the service Personal Shared
AssetProvisioningState	Provisioning state of registry asset. KnownAssetProvisioningState can be used interchangeably with AssetProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Succeeded Failed Canceled Creating Updating Deleting
AssetReferenceBaseUnion	Alias for AssetReferenceBaseUnion
AuthMode	Enum to determine endpoint authentication mode. KnownAuthMode can be used interchangeably with AuthMode, this enum contains the known values that the service supports. Known values supported by the service AAD
AutoMLVerticalUnion	Alias for AutoMLVerticalUnion
AutoRebuildSetting	AutoRebuild setting for the derived image KnownAutoRebuildSetting can be used interchangeably with AutoRebuildSetting, this enum contains the known values that the service supports. Known values supported by the service Disabled OnBaseImageUpdate
Autosave	Auto save settings. KnownAutosave can be used interchangeably with Autosave, this enum contains the known values that the service supports. Known values supported by the service None Local Remote
AzureSupportedClouds	The supported values for cloud setting as a string literal type
BatchDeploymentConfigurationType	The enumerated property types for batch deployments. KnownBatchDeploymentConfigurationType can be used interchangeably with BatchDeploymentConfigurationType, this enum contains the known values that the service supports. Known values supported by the service Model PipelineComponent
BatchDeploymentConfigurationUnion	Alias for BatchDeploymentConfigurationUnion
BatchLoggingLevel	Log verbosity for batch inferencing. Increasing verbosity order for logging is : Warning, Info and Debug. The default value is Info. KnownBatchLoggingLevel can be used interchangeably with BatchLoggingLevel, this enum contains the known values that the service supports. Known values supported by the service Info Warning Debug
BatchOutputAction	Enum to determine how batch inferencing will handle output KnownBatchOutputAction can be used interchangeably with BatchOutputAction, this enum contains the known values that the service supports. Known values supported by the service SummaryOnly AppendRow
BillingCurrency	Three lettered code specifying the currency of the VM price. Example: USD KnownBillingCurrency can be used interchangeably with BillingCurrency, this enum contains the known values that the service supports. Known values supported by the service USD
BlockedTransformers	Enum for all classification models supported by AutoML. KnownBlockedTransformers can be used interchangeably with BlockedTransformers, this enum contains the known values that the service supports. Known values supported by the service TextTargetEncoder: Target encoding for text data. OneHotEncoder: Ohe hot encoding creates a binary feature transformation. CatTargetEncoder: Target encoding for categorical data. TfIdf: Tf-Idf stands for, term-frequency times inverse document-frequency. This is a common term weighting scheme for identifying information from documents. WoETargetEncoder: Weight of Evidence encoding is a technique used to encode categorical variables. It uses the natural log of the P(1)/P(0) to create weights. LabelEncoder: Label encoder converts labels/categorical variables in a numerical form. WordEmbedding: Word embedding helps represents words or phrases as a vector, or a series of numbers. NaiveBayes: Naive Bayes is a classified that is used for classification of discrete features that are categorically distributed. CountVectorizer: Count Vectorizer converts a collection of text documents to a matrix of token counts. HashOneHotEncoder: Hashing One Hot Encoder can turn categorical variables into a limited number of new features. This is often used for high-cardinality categorical features.
Caching	Caching type of Data Disk. KnownCaching can be used interchangeably with Caching, this enum contains the known values that the service supports. Known values supported by the service None ReadOnly ReadWrite
CapabilityHostKind	Type of CapabilityHostKind
CapabilityHostProvisioningState	Provisioning state of capability host. KnownCapabilityHostProvisioningState can be used interchangeably with CapabilityHostProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Succeeded Failed Canceled Creating Updating Deleting
CategoricalDataDriftMetric	Type of CategoricalDataDriftMetric
CategoricalDataQualityMetric	Type of CategoricalDataQualityMetric
CategoricalPredictionDriftMetric	Type of CategoricalPredictionDriftMetric
ClassificationModels	Enum for all classification models supported by AutoML. KnownClassificationModels can be used interchangeably with ClassificationModels, this enum contains the known values that the service supports. Known values supported by the service LogisticRegression: Logistic regression is a fundamental classification technique. It belongs to the group of linear classifiers and is somewhat similar to polynomial and linear regression. Logistic regression is fast and relatively uncomplicated, and it's convenient for you to interpret the results. Although it's essentially a method for binary classification, it can also be applied to multiclass problems. SGD: SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs. MultinomialNaiveBayes: The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification). The multinomial distribution normally requires integer feature counts. However, in practice, fractional counts such as tf-idf may also work. BernoulliNaiveBayes: Naive Bayes classifier for multivariate Bernoulli models. SVM: A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems. After giving an SVM model sets of labeled training data for each category, they're able to categorize new text. LinearSVM: A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems. After giving an SVM model sets of labeled training data for each category, they're able to categorize new text. Linear SVM performs best when input data is linear, i.e., data can be easily classified by drawing the straight line between classified values on a plotted graph. KNN: K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set. DecisionTree: Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. RandomForest: Random forest is a supervised learning algorithm. The "forest" it builds, is an ensemble of decision trees, usually trained with the "bagging" method. The general idea of the bagging method is that a combination of learning models increases the overall result. ExtremeRandomTrees: Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm. LightGBM: LightGBM is a gradient boosting framework that uses tree based learning algorithms. GradientBoosting: The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution. XGBoostClassifier: XGBoost: Extreme Gradient Boosting Algorithm. This algorithm is used for structured data where target column values can be divided into distinct class values.
ClassificationMultilabelPrimaryMetrics	Primary metrics for classification multilabel tasks. KnownClassificationMultilabelPrimaryMetrics can be used interchangeably with ClassificationMultilabelPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service AUCWeighted: AUC is the Area under the curve. This metric represents arithmetic mean of the score for each class, weighted by the number of true instances in each class. Accuracy: Accuracy is the ratio of predictions that exactly match the true class labels. NormMacroRecall: Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1. AveragePrecisionScoreWeighted: The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class. PrecisionScoreWeighted: The arithmetic mean of precision for each class, weighted by number of true instances in each class. IOU: Intersection Over Union. Intersection of predictions divided by union of predictions.
ClassificationPrimaryMetrics	Primary metrics for classification tasks. KnownClassificationPrimaryMetrics can be used interchangeably with ClassificationPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service AUCWeighted: AUC is the Area under the curve. This metric represents arithmetic mean of the score for each class, weighted by the number of true instances in each class. Accuracy: Accuracy is the ratio of predictions that exactly match the true class labels. NormMacroRecall: Normalized macro recall is recall macro-averaged and normalized, so that random performance has a score of 0, and perfect performance has a score of 1. AveragePrecisionScoreWeighted: The arithmetic mean of the average precision score for each class, weighted by the number of true instances in each class. PrecisionScoreWeighted: The arithmetic mean of precision for each class, weighted by number of true instances in each class.
ClusterPurpose	Intended usage of the cluster KnownClusterPurpose can be used interchangeably with ClusterPurpose, this enum contains the known values that the service supports. Known values supported by the service FastProd DenseProd DevTest
ComputeInstanceAuthorizationType	The Compute Instance Authorization type. Available values are personal (default). KnownComputeInstanceAuthorizationType can be used interchangeably with ComputeInstanceAuthorizationType, this enum contains the known values that the service supports. Known values supported by the service personal
ComputeInstanceState	Current state of an ComputeInstance. KnownComputeInstanceState can be used interchangeably with ComputeInstanceState, this enum contains the known values that the service supports. Known values supported by the service Creating CreateFailed Deleting Running Restarting Resizing JobRunning SettingUp SetupFailed Starting Stopped Stopping UserSettingUp UserSetupFailed Unknown Unusable
ComputePowerAction	[Required] The compute power action. KnownComputePowerAction can be used interchangeably with ComputePowerAction, this enum contains the known values that the service supports. Known values supported by the service Start Stop
ComputeRecurrenceFrequency	Enum to describe the frequency of a compute recurrence schedule KnownComputeRecurrenceFrequency can be used interchangeably with ComputeRecurrenceFrequency, this enum contains the known values that the service supports. Known values supported by the service Minute: Minute frequency Hour: Hour frequency Day: Day frequency Week: Week frequency Month: Month frequency
ComputeSecretsUnion	Alias for ComputeSecretsUnion
ComputeTriggerType	Type of ComputeTriggerType
ComputeType	The type of compute KnownComputeType can be used interchangeably with ComputeType, this enum contains the known values that the service supports. Known values supported by the service AKS Kubernetes AmlCompute ComputeInstance DataFactory VirtualMachine HDInsight Databricks DataLakeAnalytics SynapseSpark
ComputeUnion	Alias for ComputeUnion
ComputeWeekDay	Enum of weekday KnownComputeWeekDay can be used interchangeably with ComputeWeekDay, this enum contains the known values that the service supports. Known values supported by the service Monday: Monday weekday Tuesday: Tuesday weekday Wednesday: Wednesday weekday Thursday: Thursday weekday Friday: Friday weekday Saturday: Saturday weekday Sunday: Sunday weekday
ConnectionAuthType	Authentication type of the connection target KnownConnectionAuthType can be used interchangeably with ConnectionAuthType, this enum contains the known values that the service supports. Known values supported by the service PAT ManagedIdentity UsernamePassword None SAS AccountKey ServicePrincipal AccessKey ApiKey CustomKeys OAuth2 AAD DelegatedSAS ProjectManagedIdentity AccountManagedIdentity UserEntraToken AgentUserImpersonation AgenticIdentityToken AgenticUser
ConnectionCategory	Category of the connection KnownConnectionCategory can be used interchangeably with ConnectionCategory, this enum contains the known values that the service supports. Known values supported by the service PythonFeed ContainerRegistry Git S3 Snowflake AzureKeyVault AzureSqlDb AzureSynapseAnalytics AzureMySqlDb AzurePostgresDb ADLSGen2 AzureContainerAppEnvironment Redis ApiKey AzureOpenAI AIServices CognitiveSearch CognitiveService CustomKeys AzureBlob AzureStorageAccount AzureOneLake CosmosDb CosmosDbMongoDbApi AzureDataExplorer AzureMariaDb AzureDatabricksDeltaLake AzureSqlMi AzureTableStorage AmazonRdsForOracle AmazonRdsForSqlServer AmazonRedshift Db2 Drill GoogleBigQuery Greenplum Hbase Hive Impala Informix MariaDb MicrosoftAccess MySql Netezza Oracle Phoenix PostgreSql Presto SapOpenHub SapBw SapHana SapTable Spark SqlServer Sybase Teradata Vertica Pinecone Databricks Cassandra Couchbase MongoDbV2 MongoDbAtlas AmazonS3Compatible FileServer FtpServer GoogleCloudStorage Hdfs OracleCloudStorage Sftp GenericHttp ODataRest Odbc GenericRest RemoteTool AmazonMws Concur Dynamics DynamicsAx DynamicsCrm GoogleAdWords Hubspot Jira Magento Marketo Office365 Eloqua Responsys OracleServiceCloud PayPal QuickBooks Salesforce SalesforceServiceCloud SalesforceMarketingCloud SapCloudForCustomer SapEcc ServiceNow SharePointOnlineList Shopify Square WebTable Xero Zoho GenericContainerRegistry Elasticsearch AppInsights AppConfig OpenAI Serp BingLLMSearch Serverless ManagedOnlineEndpoint ApiManagement ModelGateway GroundingWithBingSearch GroundingWithCustomSearch Sharepoint MicrosoftFabric PowerPlatformEnvironment RemoteA2A
ConnectionGroup	Group based on connection category KnownConnectionGroup can be used interchangeably with ConnectionGroup, this enum contains the known values that the service supports. Known values supported by the service Azure AzureAI Database NoSQL File GenericProtocol ServicesAndApps
ContainerType	Type of ContainerType
ContentSafetyLevel	Specifies the current safety level for content safety. KnownContentSafetyLevel can be used interchangeably with ContentSafetyLevel, this enum contains the known values that the service supports. Known values supported by the service Blocking Deferred
ContentSafetyStatus	Specifies the status of content safety. KnownContentSafetyStatus can be used interchangeably with ContentSafetyStatus, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
ContinuablePage	An interface that describes a page of results.
CreatedByType	The kind of entity that created the resource. KnownCreatedByType can be used interchangeably with CreatedByType, this enum contains the known values that the service supports. Known values supported by the service User: The entity was created by a user. Application: The entity was created by an application. ManagedIdentity: The entity was created by a managed identity. Key: The entity was created by a key.
CredentialsType	Enum to determine the datastore credentials type. KnownCredentialsType can be used interchangeably with CredentialsType, this enum contains the known values that the service supports. Known values supported by the service AccountKey Certificate None Sas ServicePrincipal
DataAvailabilityStatus	Type of DataAvailabilityStatus
DataCollectionMode	Type of DataCollectionMode
DataDriftMetricThresholdBaseUnion	Alias for DataDriftMetricThresholdBaseUnion
DataGenerationTaskType	Enum to determine the type of Data Generation Task. KnownDataGenerationTaskType can be used interchangeably with DataGenerationTaskType, this enum contains the known values that the service supports. Known values supported by the service Conversation: Generate conversational data (multi/single turn) Math: Generate Math data for numerical responses Nli: Generate Natural Language Inference data NluQa: Generate Natural Language Understanding data for Question Answering data Summarization: Generate Key Summary for an Article
DataGenerationType	Enum to determine the type of Data Generation. KnownDataGenerationType can be used interchangeably with DataGenerationType, this enum contains the known values that the service supports. Known values supported by the service LabelGeneration: Label Generation by Teacher Model Inferencing DataGeneration: Synthetic Data Generation
DataGenerationVerticalUnion	Alias for DataGenerationVerticalUnion
DataQualityMetricThresholdBaseUnion	Alias for DataQualityMetricThresholdBaseUnion
DataReferenceCredentialType	Enum to determine the DataReference credentials type. KnownDataReferenceCredentialType can be used interchangeably with DataReferenceCredentialType, this enum contains the known values that the service supports. Known values supported by the service SAS DockerCredentials ManagedIdentity NoCredentials
DataReferenceCredentialUnion	Alias for DataReferenceCredentialUnion
DataType	Enum to determine the type of data. KnownDataType can be used interchangeably with DataType, this enum contains the known values that the service supports. Known values supported by the service uri_file uri_folder mltable
DataVersionBasePropertiesUnion	Alias for DataVersionBasePropertiesUnion
DatastoreCredentialsUnion	Alias for DatastoreCredentialsUnion
DatastorePropertiesUnion	Alias for DatastorePropertiesUnion
DatastoreSecretsUnion	Alias for DatastoreSecretsUnion
DatastoreType	Enum to determine the datastore contents type. KnownDatastoreType can be used interchangeably with DatastoreType, this enum contains the known values that the service supports. Known values supported by the service AzureBlob AzureDataLakeGen1 AzureDataLakeGen2 AzureFile OneLake
DefaultActionType	Type of DefaultActionType
DefaultResourceProvisioningState	Type of DefaultResourceProvisioningState
DeploymentModelVersionUpgradeOption	Deployment model version upgrade option. KnownDeploymentModelVersionUpgradeOption can be used interchangeably with DeploymentModelVersionUpgradeOption, this enum contains the known values that the service supports. Known values supported by the service OnceNewDefaultVersionAvailable OnceCurrentVersionExpired NoAutoUpgrade
DeploymentProvisioningState	Possible values for DeploymentProvisioningState. KnownDeploymentProvisioningState can be used interchangeably with DeploymentProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Creating Deleting Scaling Updating Succeeded Failed Canceled
DiagnoseResultLevel	Level of workspace setup error KnownDiagnoseResultLevel can be used interchangeably with DiagnoseResultLevel, this enum contains the known values that the service supports. Known values supported by the service Warning Error Information
DistributionConfigurationUnion	Alias for DistributionConfigurationUnion
DistributionType	Enum to determine the job distribution type. KnownDistributionType can be used interchangeably with DistributionType, this enum contains the known values that the service supports. Known values supported by the service PyTorch TensorFlow Mpi Ray: Ray distribution type.
EarlyTerminationPolicyType	Type of EarlyTerminationPolicyType
EarlyTerminationPolicyUnion	Alias for EarlyTerminationPolicyUnion
EgressPublicNetworkAccessType	Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment. KnownEgressPublicNetworkAccessType can be used interchangeably with EgressPublicNetworkAccessType, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
EmailNotificationEnableType	Enum to determine the email notification type. KnownEmailNotificationEnableType can be used interchangeably with EmailNotificationEnableType, this enum contains the known values that the service supports. Known values supported by the service JobCompleted JobFailed JobCancelled
EncryptionStatus	Indicates whether or not the encryption is enabled for the workspace. KnownEncryptionStatus can be used interchangeably with EncryptionStatus, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
EndpointAuthMode	Enum to determine endpoint authentication mode. KnownEndpointAuthMode can be used interchangeably with EndpointAuthMode, this enum contains the known values that the service supports. Known values supported by the service AMLToken Key AADToken
EndpointComputeType	Enum to determine endpoint compute type. KnownEndpointComputeType can be used interchangeably with EndpointComputeType, this enum contains the known values that the service supports. Known values supported by the service Managed Kubernetes AzureMLCompute
EndpointDeploymentResourcePropertiesUnion	Alias for EndpointDeploymentResourcePropertiesUnion
EndpointProvisioningState	State of endpoint provisioning. KnownEndpointProvisioningState can be used interchangeably with EndpointProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Creating Deleting Succeeded Failed Updating Canceled
EndpointResourcePropertiesUnion	Alias for EndpointResourcePropertiesUnion
EndpointType	Type of the endpoint. KnownEndpointType can be used interchangeably with EndpointType, this enum contains the known values that the service supports. Known values supported by the service Azure.OpenAI Azure.Speech Azure.ContentSafety Azure.Llama managedOnlineEndpoint serverlessEndpoint
EnvironmentType	Environment type is either user created or curated by Azure ML service KnownEnvironmentType can be used interchangeably with EnvironmentType, this enum contains the known values that the service supports. Known values supported by the service Curated UserCreated
EnvironmentVariableType	Type of the Environment Variable. Possible values are: local - For local variable KnownEnvironmentVariableType can be used interchangeably with EnvironmentVariableType, this enum contains the known values that the service supports. Known values supported by the service local
FeatureAttributionMetric	Type of FeatureAttributionMetric
FeatureDataType	Type of FeatureDataType
FeatureImportanceMode	The mode of operation for computing feature importance. KnownFeatureImportanceMode can be used interchangeably with FeatureImportanceMode, this enum contains the known values that the service supports. Known values supported by the service Disabled: Disables computing feature importance within a signal. Enabled: Enables computing feature importance within a signal.
FeatureLags	Flag for generating lags for the numeric features. KnownFeatureLags can be used interchangeably with FeatureLags, this enum contains the known values that the service supports. Known values supported by the service None: No feature lags generated. Auto: System auto-generates feature lags.
FeaturizationMode	Featurization mode - determines data featurization mode. KnownFeaturizationMode can be used interchangeably with FeaturizationMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Auto mode, system performs featurization without any custom featurization inputs. Custom: Custom featurization. Off: Featurization off. 'Forecasting' task cannot use this value.
FineTuningTaskType	Type of FineTuningTaskType
FineTuningVerticalUnion	Alias for FineTuningVerticalUnion
FirewallSku	Firewall Sku used for FQDN Rules KnownFirewallSku can be used interchangeably with FirewallSku, this enum contains the known values that the service supports. Known values supported by the service Standard Basic
ForecastHorizonMode	Enum to determine forecast horizon selection mode. KnownForecastHorizonMode can be used interchangeably with ForecastHorizonMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Forecast horizon to be determined automatically. Custom: Use the custom forecast horizon.
ForecastHorizonUnion	Alias for ForecastHorizonUnion
ForecastingModels	Enum for all forecasting models supported by AutoML. KnownForecastingModels can be used interchangeably with ForecastingModels, this enum contains the known values that the service supports. Known values supported by the service AutoArima: Auto-Autoregressive Integrated Moving Average (ARIMA) model uses time-series data and statistical analysis to interpret the data and make future predictions. This model aims to explain data by using time series data on its past values and uses linear regression to make predictions. Prophet: Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Naive: The Naive forecasting model makes predictions by carrying forward the latest target value for each time-series in the training data. SeasonalNaive: The Seasonal Naive forecasting model makes predictions by carrying forward the latest season of target values for each time-series in the training data. Average: The Average forecasting model makes predictions by carrying forward the average of the target values for each time-series in the training data. SeasonalAverage: The Seasonal Average forecasting model makes predictions by carrying forward the average value of the latest season of data for each time-series in the training data. ExponentialSmoothing: Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component. Arimax: An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms. This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. TCNForecaster: TCNForecaster: Temporal Convolutional Networks Forecaster. //TODO: Ask forecasting team for brief intro. ElasticNet: Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions. GradientBoosting: The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution. DecisionTree: Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. KNN: K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set. LassoLars: Lasso model fit with Least Angle Regression a.k.a. Lars. It is a Linear Model trained with an L1 prior as regularizer. SGD: SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs. It's an inexact but powerful technique. RandomForest: Random forest is a supervised learning algorithm. The "forest" it builds, is an ensemble of decision trees, usually trained with the "bagging" method. The general idea of the bagging method is that a combination of learning models increases the overall result. ExtremeRandomTrees: Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm. LightGBM: LightGBM is a gradient boosting framework that uses tree based learning algorithms. XGBoostRegressor: XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners.
ForecastingPrimaryMetrics	Primary metrics for Forecasting task. KnownForecastingPrimaryMetrics can be used interchangeably with ForecastingPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service SpearmanCorrelation: The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation. NormalizedRootMeanSquaredError: The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales. R2Score: The R2 score is one of the performance evaluation measures for forecasting-based machine learning models. NormalizedMeanAbsoluteError: The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
Goal	Defines supported metric goals for hyperparameter tuning KnownGoal can be used interchangeably with Goal, this enum contains the known values that the service supports. Known values supported by the service Minimize Maximize
IdentityConfigurationType	Enum to determine identity framework. KnownIdentityConfigurationType can be used interchangeably with IdentityConfigurationType, this enum contains the known values that the service supports. Known values supported by the service Managed AMLToken UserIdentity
IdentityConfigurationUnion	Alias for IdentityConfigurationUnion
ImageType	Type of the image. Possible values are: docker - For docker images. azureml - For AzureML Environment images (custom and curated) KnownImageType can be used interchangeably with ImageType, this enum contains the known values that the service supports. Known values supported by the service docker azureml
InputDeliveryMode	Enum to determine the input data delivery mode. KnownInputDeliveryMode can be used interchangeably with InputDeliveryMode, this enum contains the known values that the service supports. Known values supported by the service ReadOnlyMount ReadWriteMount Download Direct EvalMount EvalDownload
InstanceSegmentationPrimaryMetrics	Primary metrics for InstanceSegmentation tasks. KnownInstanceSegmentationPrimaryMetrics can be used interchangeably with InstanceSegmentationPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service MeanAveragePrecision: Mean Average Precision (MAP) is the average of AP (Average Precision). AP is calculated for each class and averaged to get the MAP.
IsolationMode	Isolation mode for the managed network of a machine learning workspace. KnownIsolationMode can be used interchangeably with IsolationMode, this enum contains the known values that the service supports. Known values supported by the service Disabled AllowInternetOutbound AllowOnlyApprovedOutbound
JobBasePropertiesUnion	Alias for JobBasePropertiesUnion
JobInputType	Enum to determine the Job Input Type. KnownJobInputType can be used interchangeably with JobInputType, this enum contains the known values that the service supports. Known values supported by the service literal uri_file uri_folder mltable custom_model mlflow_model triton_model
JobInputUnion	Alias for JobInputUnion
JobLimitsType	Type of JobLimitsType
JobLimitsUnion	Alias for JobLimitsUnion
JobOutputType	Enum to determine the Job Output Type. KnownJobOutputType can be used interchangeably with JobOutputType, this enum contains the known values that the service supports. Known values supported by the service uri_file uri_folder mltable custom_model mlflow_model triton_model
JobOutputUnion	Alias for JobOutputUnion
JobStatus	The status of a job. KnownJobStatus can be used interchangeably with JobStatus, this enum contains the known values that the service supports. Known values supported by the service NotStarted: Run hasn't started yet. Starting: Run has started. The user has a run ID. Provisioning: (Not used currently) It will be used if ES is creating the compute target. Preparing: The run environment is being prepared. Queued: The job is queued in the compute target. For example, in BatchAI the job is in queued state, while waiting for all required nodes to be ready. Running: The job started to run in the compute target. Finalizing: Job is completed in the target. It is in output collection state now. CancelRequested: Cancellation has been requested for the job. Completed: Job completed successfully. This reflects that both the job itself and output collection states completed successfully Failed: Job failed. Canceled: Following cancellation request, the job is now successfully canceled. NotResponding: When heartbeat is enabled, if the run isn't updating any information to RunHistory then the run goes to NotResponding state. NotResponding is the only state that is exempt from strict transition orders. A run can go from NotResponding to any of the previous states. Paused: The job is paused by users. Some adjustment to labeling jobs can be made only in paused state. Unknown: Default job status if not mapped to all other statuses
JobTier	Enum to determine the job tier. KnownJobTier can be used interchangeably with JobTier, this enum contains the known values that the service supports. Known values supported by the service Null Spot Basic Standard Premium
JobType	Enum to determine the type of job. KnownJobType can be used interchangeably with JobType, this enum contains the known values that the service supports. Known values supported by the service AutoML Command Sweep Pipeline Spark FineTuning Distillation
KeyType	Type of KeyType
LearningRateScheduler	Learning rate scheduler enum. KnownLearningRateScheduler can be used interchangeably with LearningRateScheduler, this enum contains the known values that the service supports. Known values supported by the service None: No learning rate scheduler selected. WarmupCosine: Cosine Annealing With Warmup. Step: Step learning rate scheduler.
ListViewType	Type of ListViewType
LoadBalancerType	Load Balancer Type KnownLoadBalancerType can be used interchangeably with LoadBalancerType, this enum contains the known values that the service supports. Known values supported by the service PublicIp InternalLoadBalancer
LogVerbosity	Enum for setting log verbosity. KnownLogVerbosity can be used interchangeably with LogVerbosity, this enum contains the known values that the service supports. Known values supported by the service NotSet: No logs emitted. Debug: Debug and above log statements logged. Info: Info and above log statements logged. Warning: Warning and above log statements logged. Error: Error and above log statements logged. Critical: Only critical statements logged.
ManagedNetworkKind	The Kind of the managed network. Users can switch from V1 to V2 for granular access controls, but cannot switch back to V1 once V2 is enabled. KnownManagedNetworkKind can be used interchangeably with ManagedNetworkKind, this enum contains the known values that the service supports. Known values supported by the service V1 V2
ManagedNetworkProvisioningState	Type of ManagedNetworkProvisioningState
ManagedNetworkStatus	Status for the managed network of a machine learning workspace. KnownManagedNetworkStatus can be used interchangeably with ManagedNetworkStatus, this enum contains the known values that the service supports. Known values supported by the service Inactive Active
ManagedPERequirement	Type of ManagedPERequirement
ManagedPEStatus	Type of ManagedPEStatus
ManagedServiceIdentityType	Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). KnownManagedServiceIdentityType can be used interchangeably with ManagedServiceIdentityType, this enum contains the known values that the service supports. Known values supported by the service None: No managed identity. SystemAssigned: System assigned managed identity. UserAssigned: User assigned managed identity. SystemAssigned,UserAssigned: System and user assigned managed identity.
MarketplaceSubscriptionProvisioningState	Type of MarketplaceSubscriptionProvisioningState
MarketplaceSubscriptionStatus	Type of MarketplaceSubscriptionStatus
MaterializationStoreType	Type of MaterializationStoreType
MlflowAutologger	Indicates whether mlflow autologger is enabled for notebooks. KnownMlflowAutologger can be used interchangeably with MlflowAutologger, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
ModelLifecycleStatus	Model lifecycle status. KnownModelLifecycleStatus can be used interchangeably with ModelLifecycleStatus, this enum contains the known values that the service supports. Known values supported by the service GenerallyAvailable Preview
ModelProvider	Enum to determine the type of fine tuning. KnownModelProvider can be used interchangeably with ModelProvider, this enum contains the known values that the service supports. Known values supported by the service AzureOpenAI: Fine tuning using Azure Open AI model. Custom: Fine tuning using custom model.
ModelSize	Image model size. KnownModelSize can be used interchangeably with ModelSize, this enum contains the known values that the service supports. Known values supported by the service None: No value selected. Small: Small size. Medium: Medium size. Large: Large size. ExtraLarge: Extra large size.
ModelTaskType	Model task type enum. KnownModelTaskType can be used interchangeably with ModelTaskType, this enum contains the known values that the service supports. Known values supported by the service Classification Regression
MonitorComputeConfigurationBaseUnion	Alias for MonitorComputeConfigurationBaseUnion
MonitorComputeIdentityBaseUnion	Alias for MonitorComputeIdentityBaseUnion
MonitorComputeIdentityType	Monitor compute identity type enum. KnownMonitorComputeIdentityType can be used interchangeably with MonitorComputeIdentityType, this enum contains the known values that the service supports. Known values supported by the service AmlToken: Authenticates through user's AML token. ManagedIdentity: Authenticates through a user-provided managed identity.
MonitorComputeType	Monitor compute type enum. KnownMonitorComputeType can be used interchangeably with MonitorComputeType, this enum contains the known values that the service supports. Known values supported by the service ServerlessSpark: Serverless Spark compute.
MonitoringFeatureDataType	Type of MonitoringFeatureDataType
MonitoringFeatureFilterBaseUnion	Alias for MonitoringFeatureFilterBaseUnion
MonitoringFeatureFilterType	Type of MonitoringFeatureFilterType
MonitoringInputDataBaseUnion	Alias for MonitoringInputDataBaseUnion
MonitoringInputDataType	Monitoring input data type enum. KnownMonitoringInputDataType can be used interchangeably with MonitoringInputDataType, this enum contains the known values that the service supports. Known values supported by the service Static: An input data with a fixed window size. Rolling: An input data which rolls relatively to the monitor's current run time. Fixed: An input data with tabular format which doesn't require preprocessing.
MonitoringNotificationType	Type of MonitoringNotificationType
MonitoringSignalBaseUnion	Alias for MonitoringSignalBaseUnion
MonitoringSignalType	Type of MonitoringSignalType
MountAction	Mount Action. KnownMountAction can be used interchangeably with MountAction, this enum contains the known values that the service supports. Known values supported by the service Mount Unmount
MountMode	Mount Mode. KnownMountMode can be used interchangeably with MountMode, this enum contains the known values that the service supports. Known values supported by the service ReadOnly ReadWrite
MountState	Mount state. KnownMountState can be used interchangeably with MountState, this enum contains the known values that the service supports. Known values supported by the service MountRequested Mounted MountFailed UnmountRequested UnmountFailed Unmounted
NCrossValidationsMode	Determines how N-Cross validations value is determined. KnownNCrossValidationsMode can be used interchangeably with NCrossValidationsMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Determine N-Cross validations value automatically. Supported only for 'Forecasting' AutoML task. Custom: Use custom N-Cross validations value.
NCrossValidationsUnion	Alias for NCrossValidationsUnion
Network	network of this container. KnownNetwork can be used interchangeably with Network, this enum contains the known values that the service supports. Known values supported by the service Bridge Host
NodeState	State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted. KnownNodeState can be used interchangeably with NodeState, this enum contains the known values that the service supports. Known values supported by the service idle running preparing unusable leaving preempted
NodesUnion	Alias for NodesUnion
NodesValueType	The enumerated types for the nodes value KnownNodesValueType can be used interchangeably with NodesValueType, this enum contains the known values that the service supports. Known values supported by the service All
NumericalDataDriftMetric	Type of NumericalDataDriftMetric
NumericalDataQualityMetric	Type of NumericalDataQualityMetric
NumericalPredictionDriftMetric	Type of NumericalPredictionDriftMetric
ObjectDetectionPrimaryMetrics	Primary metrics for Image ObjectDetection task. KnownObjectDetectionPrimaryMetrics can be used interchangeably with ObjectDetectionPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service MeanAveragePrecision: Mean Average Precision (MAP) is the average of AP (Average Precision). AP is calculated for each class and averaged to get the MAP.
OneLakeArtifactType	Enum to determine OneLake artifact type. KnownOneLakeArtifactType can be used interchangeably with OneLakeArtifactType, this enum contains the known values that the service supports. Known values supported by the service LakeHouse
OneLakeArtifactUnion	Alias for OneLakeArtifactUnion
OnlineDeploymentPropertiesUnion	Alias for OnlineDeploymentPropertiesUnion
OnlineScaleSettingsUnion	Alias for OnlineScaleSettingsUnion
OperatingSystemType	The type of operating system. KnownOperatingSystemType can be used interchangeably with OperatingSystemType, this enum contains the known values that the service supports. Known values supported by the service Linux Windows
OperationName	Name of the last operation. KnownOperationName can be used interchangeably with OperationName, this enum contains the known values that the service supports. Known values supported by the service Create Start Stop Restart Resize Reimage Delete
OperationStatus	Operation status. KnownOperationStatus can be used interchangeably with OperationStatus, this enum contains the known values that the service supports. Known values supported by the service InProgress Succeeded CreateFailed StartFailed StopFailed RestartFailed ResizeFailed ReimageFailed DeleteFailed
OperationTrigger	Trigger of operation. KnownOperationTrigger can be used interchangeably with OperationTrigger, this enum contains the known values that the service supports. Known values supported by the service User Schedule IdleShutdown
OrderString	Type of OrderString
Origin	The intended executor of the operation; as in Resource Based Access Control (RBAC) and audit logs UX. Default value is "user,system" KnownOrigin can be used interchangeably with Origin, this enum contains the known values that the service supports. Known values supported by the service user: Indicates the operation is initiated by a user. system: Indicates the operation is initiated by a system. user,system: Indicates the operation is initiated by a user or system.
OsType	Compute OS Type KnownOsType can be used interchangeably with OsType, this enum contains the known values that the service supports. Known values supported by the service Linux Windows
OutboundRuleUnion	Alias for OutboundRuleUnion
OutputDeliveryMode	Output data delivery mode enums. KnownOutputDeliveryMode can be used interchangeably with OutputDeliveryMode, this enum contains the known values that the service supports. Known values supported by the service ReadWriteMount Upload Direct
PatchStatus	The os patching status. KnownPatchStatus can be used interchangeably with PatchStatus, this enum contains the known values that the service supports. Known values supported by the service CompletedWithWarnings Failed InProgress Succeeded Unknown
PendingUploadCredentialDtoUnion	Alias for PendingUploadCredentialDtoUnion
PendingUploadCredentialType	Enum to determine the PendingUpload credentials type. KnownPendingUploadCredentialType can be used interchangeably with PendingUploadCredentialType, this enum contains the known values that the service supports. Known values supported by the service SAS
PendingUploadType	Type of storage to use for the pending upload location KnownPendingUploadType can be used interchangeably with PendingUploadType, this enum contains the known values that the service supports. Known values supported by the service None TemporaryBlobReference
PoolProvisioningState	State of pool related resources provisioning. KnownPoolProvisioningState can be used interchangeably with PoolProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Creating Deleting Succeeded Failed Updating Canceled
PredictionDriftMetricThresholdBaseUnion	Alias for PredictionDriftMetricThresholdBaseUnion
PrivateEndpointConnectionProvisioningState	The current provisioning state. KnownPrivateEndpointConnectionProvisioningState can be used interchangeably with PrivateEndpointConnectionProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Succeeded Creating Deleting Failed
PrivateEndpointServiceConnectionStatus	Connection status of the service consumer with the service provider KnownPrivateEndpointServiceConnectionStatus can be used interchangeably with PrivateEndpointServiceConnectionStatus, this enum contains the known values that the service supports. Known values supported by the service Approved Pending Rejected Disconnected Timeout
Protocol	Protocol over which communication will happen over this endpoint KnownProtocol can be used interchangeably with Protocol, this enum contains the known values that the service supports. Known values supported by the service tcp udp http
ProvisioningState	The provision state of the cluster. Valid values are Unknown, Updating, Provisioning, Succeeded, and Failed. KnownProvisioningState can be used interchangeably with ProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Unknown Updating Creating Deleting Succeeded Failed Canceled
ProvisioningStatus	The current deployment state of schedule. KnownProvisioningStatus can be used interchangeably with ProvisioningStatus, this enum contains the known values that the service supports. Known values supported by the service Completed Provisioning Failed
PublicNetworkAccess	Enum to determine whether PublicNetworkAccess is Enabled or Disabled. KnownPublicNetworkAccess can be used interchangeably with PublicNetworkAccess, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
QuotaUnit	An enum describing the unit of quota measurement. KnownQuotaUnit can be used interchangeably with QuotaUnit, this enum contains the known values that the service supports. Known values supported by the service Count
RaiPolicyContentSource	Content source to apply the Content Filters. KnownRaiPolicyContentSource can be used interchangeably with RaiPolicyContentSource, this enum contains the known values that the service supports. Known values supported by the service Prompt Completion
RaiPolicyMode	Content Filters mode. KnownRaiPolicyMode can be used interchangeably with RaiPolicyMode, this enum contains the known values that the service supports. Known values supported by the service Default Deferred Blocking
RaiPolicyType	Content Filters policy type. KnownRaiPolicyType can be used interchangeably with RaiPolicyType, this enum contains the known values that the service supports. Known values supported by the service UserManaged SystemManaged
RandomSamplingAlgorithmRule	The specific type of random algorithm KnownRandomSamplingAlgorithmRule can be used interchangeably with RandomSamplingAlgorithmRule, this enum contains the known values that the service supports. Known values supported by the service Random Sobol
RecurrenceFrequency	Enum to describe the frequency of a recurrence schedule KnownRecurrenceFrequency can be used interchangeably with RecurrenceFrequency, this enum contains the known values that the service supports. Known values supported by the service Minute: Minute frequency Hour: Hour frequency Day: Day frequency Week: Week frequency Month: Month frequency
ReferenceType	Enum to determine which reference method to use for an asset. KnownReferenceType can be used interchangeably with ReferenceType, this enum contains the known values that the service supports. Known values supported by the service Id DataPath OutputPath
RegressionModels	Enum for all Regression models supported by AutoML. KnownRegressionModels can be used interchangeably with RegressionModels, this enum contains the known values that the service supports. Known values supported by the service ElasticNet: Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions. GradientBoosting: The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution. DecisionTree: Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. KNN: K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints which further means that the new data point will be assigned a value based on how closely it matches the points in the training set. LassoLars: Lasso model fit with Least Angle Regression a.k.a. Lars. It is a Linear Model trained with an L1 prior as regularizer. SGD: SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs. It's an inexact but powerful technique. RandomForest: Random forest is a supervised learning algorithm. The "forest" it builds, is an ensemble of decision trees, usually trained with the "bagging" method. The general idea of the bagging method is that a combination of learning models increases the overall result. ExtremeRandomTrees: Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm. LightGBM: LightGBM is a gradient boosting framework that uses tree based learning algorithms. XGBoostRegressor: XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners.
RegressionPrimaryMetrics	Primary metrics for Regression task. KnownRegressionPrimaryMetrics can be used interchangeably with RegressionPrimaryMetrics, this enum contains the known values that the service supports. Known values supported by the service SpearmanCorrelation: The Spearman's rank coefficient of correlation is a nonparametric measure of rank correlation. NormalizedRootMeanSquaredError: The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales. R2Score: The R2 score is one of the performance evaluation measures for forecasting-based machine learning models. NormalizedMeanAbsoluteError: The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
RemoteLoginPortPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on all nodes of the cluster. Enabled - Indicates that the public ssh port is open on all nodes of the cluster. NotSpecified - Indicates that the public ssh port is closed on all nodes of the cluster if VNet is defined, else is open all public nodes. It can be default only during cluster creation time, after creation it will be either enabled or disabled. KnownRemoteLoginPortPublicAccess can be used interchangeably with RemoteLoginPortPublicAccess, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled NotSpecified
RollingRateType	Type of RollingRateType
RuleAction	The action enum for networking rule. KnownRuleAction can be used interchangeably with RuleAction, this enum contains the known values that the service supports. Known values supported by the service Allow Deny
RuleCategory	Category of a managed network Outbound Rule of a machine learning workspace. KnownRuleCategory can be used interchangeably with RuleCategory, this enum contains the known values that the service supports. Known values supported by the service Required Recommended UserDefined Dependency
RuleStatus	Type of a managed network Outbound Rule of a machine learning workspace. KnownRuleStatus can be used interchangeably with RuleStatus, this enum contains the known values that the service supports. Known values supported by the service Inactive Active Provisioning Deleting Failed
RuleType	Type of a managed network Outbound Rule of a machine learning workspace. KnownRuleType can be used interchangeably with RuleType, this enum contains the known values that the service supports. Known values supported by the service FQDN PrivateEndpoint ServiceTag
SamplingAlgorithmType	Type of SamplingAlgorithmType
SamplingAlgorithmUnion	Alias for SamplingAlgorithmUnion
ScaleType	Type of ScaleType
ScheduleActionBaseUnion	Alias for ScheduleActionBaseUnion
ScheduleActionType	Type of ScheduleActionType
ScheduleListViewType	Type of ScheduleListViewType
ScheduleProvisioningState	The current deployment state of schedule. KnownScheduleProvisioningState can be used interchangeably with ScheduleProvisioningState, this enum contains the known values that the service supports. Known values supported by the service Completed Provisioning Failed
ScheduleProvisioningStatus	Type of ScheduleProvisioningStatus
ScheduleStatus	Is the schedule enabled or disabled? KnownScheduleStatus can be used interchangeably with ScheduleStatus, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
SeasonalityMode	Forecasting seasonality mode. KnownSeasonalityMode can be used interchangeably with SeasonalityMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Seasonality to be determined automatically. Custom: Use the custom seasonality value.
SeasonalityUnion	Alias for SeasonalityUnion
SecretsType	Enum to determine the datastore secrets type. KnownSecretsType can be used interchangeably with SecretsType, this enum contains the known values that the service supports. Known values supported by the service AccountKey Certificate Sas ServicePrincipal
ServerlessEndpointState	State of the Serverless Endpoint. KnownServerlessEndpointState can be used interchangeably with ServerlessEndpointState, this enum contains the known values that the service supports. Known values supported by the service Unknown Creating Deleting Suspending Reinstating Online Suspended CreationFailed DeletionFailed
ServerlessInferenceEndpointAuthMode	Type of ServerlessInferenceEndpointAuthMode
ServiceAccountKeyName	Type of ServiceAccountKeyName
ServiceDataAccessAuthIdentity	Type of ServiceDataAccessAuthIdentity
ShortSeriesHandlingConfiguration	The parameter defining how if AutoML should handle short time series. KnownShortSeriesHandlingConfiguration can be used interchangeably with ShortSeriesHandlingConfiguration, this enum contains the known values that the service supports. Known values supported by the service None: Represents no/null value. Auto: Short series will be padded if there are no long series, otherwise short series will be dropped. Pad: All the short series will be padded. Drop: All the short series will be dropped.
SkuScaleType	Node scaling setting for the compute sku. KnownSkuScaleType can be used interchangeably with SkuScaleType, this enum contains the known values that the service supports. Known values supported by the service Automatic: Automatically scales node count. Manual: Node count scaled upon user request. None: Fixed set of nodes.
SkuTier	This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
SourceType	Data source type. KnownSourceType can be used interchangeably with SourceType, this enum contains the known values that the service supports. Known values supported by the service Dataset Datastore URI
SparkJobEntryType	Type of SparkJobEntryType
SparkJobEntryUnion	Alias for SparkJobEntryUnion
SshPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on this instance. Enabled - Indicates that the public ssh port is open and accessible according to the VNet/subnet policy if applicable. KnownSshPublicAccess can be used interchangeably with SshPublicAccess, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
SslConfigStatus	Enable or disable ssl for scoring KnownSslConfigStatus can be used interchangeably with SslConfigStatus, this enum contains the known values that the service supports. Known values supported by the service Disabled Enabled Auto
StackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models. Default meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled). This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression KnownStackMetaLearnerType can be used interchangeably with StackMetaLearnerType, this enum contains the known values that the service supports. Known values supported by the service None LogisticRegression: Default meta-learners are LogisticRegression for classification tasks. LogisticRegressionCV: Default meta-learners are LogisticRegression for classification task when CV is on. LightGBMClassifier ElasticNet: Default meta-learners are LogisticRegression for regression task. ElasticNetCV: Default meta-learners are LogisticRegression for regression task when CV is on. LightGBMRegressor LinearRegression
Status	Status of update workspace quota. KnownStatus can be used interchangeably with Status, this enum contains the known values that the service supports. Known values supported by the service Undefined Success Failure InvalidQuotaBelowClusterMinimum InvalidQuotaExceedsSubscriptionLimit InvalidVMFamilyName OperationNotSupportedForSku OperationNotEnabledForRegion
StochasticOptimizer	Stochastic optimizer for image models. KnownStochasticOptimizer can be used interchangeably with StochasticOptimizer, this enum contains the known values that the service supports. Known values supported by the service None: No optimizer selected. Sgd: Stochastic Gradient Descent optimizer. Adam: Adam is algorithm the optimizes stochastic objective functions based on adaptive estimates of moments Adamw: AdamW is a variant of the optimizer Adam that has an improved implementation of weight decay.
StorageAccountType	type of this storage account. KnownStorageAccountType can be used interchangeably with StorageAccountType, this enum contains the known values that the service supports. Known values supported by the service Standard_LRS Premium_LRS
SystemDatastoresAuthMode	The auth mode used for accessing the system datastores of the workspace. KnownSystemDatastoresAuthMode can be used interchangeably with SystemDatastoresAuthMode, this enum contains the known values that the service supports. Known values supported by the service AccessKey Identity UserDelegationSAS
TargetAggregationFunction	Target aggregate function. KnownTargetAggregationFunction can be used interchangeably with TargetAggregationFunction, this enum contains the known values that the service supports. Known values supported by the service None: Represent no value set. Sum Max Min Mean
TargetLagsMode	Target lags selection modes. KnownTargetLagsMode can be used interchangeably with TargetLagsMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Target lags to be determined automatically. Custom: Use the custom target lags.
TargetLagsUnion	Alias for TargetLagsUnion
TargetRollingWindowSizeMode	Target rolling windows size mode. KnownTargetRollingWindowSizeMode can be used interchangeably with TargetRollingWindowSizeMode, this enum contains the known values that the service supports. Known values supported by the service Auto: Determine rolling windows size automatically. Custom: Use the specified rolling window size.
TargetRollingWindowSizeUnion	Alias for TargetRollingWindowSizeUnion
TaskType	AutoMLJob Task type. KnownTaskType can be used interchangeably with TaskType, this enum contains the known values that the service supports. Known values supported by the service Classification: Classification in machine learning and statistics is a supervised learning approach in which the computer program learns from the data given to it and make new observations or classifications. Regression: Regression means to predict the value using the input data. Regression models are used to predict a continuous value. Forecasting: Forecasting is a special kind of regression task that deals with time-series data and creates forecasting model that can be used to predict the near future values based on the inputs. ImageClassification: 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'. ImageClassificationMultilabel: 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'. ImageObjectDetection: 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. ImageInstanceSegmentation: 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. TextClassification: Text classification (also known as text tagging or text categorization) is the process of sorting texts into categories. Categories are mutually exclusive. TextClassificationMultilabel: Multilabel classification task assigns each sample to a group (zero or more) of target labels. TextNER: Text Named Entity Recognition a.k.a. TextNER. Named Entity Recognition (NER) is the ability to take free-form text and identify the occurrences of entities such as people, locations, organizations, and more.
TriggerBaseUnion	Alias for TriggerBaseUnion
TriggerType	Type of TriggerType
UnderlyingResourceAction	Type of UnderlyingResourceAction
UnitOfMeasure	The unit of time measurement for the specified VM price. Example: OneHour KnownUnitOfMeasure can be used interchangeably with UnitOfMeasure, this enum contains the known values that the service supports. Known values supported by the service OneHour
UsageUnit	An enum describing the unit of usage measurement. KnownUsageUnit can be used interchangeably with UsageUnit, this enum contains the known values that the service supports. Known values supported by the service Count
UseStl	Configure STL Decomposition of the time-series target column. KnownUseStl can be used interchangeably with UseStl, this enum contains the known values that the service supports. Known values supported by the service None: No stl decomposition. Season SeasonTrend
VMPriceOSType	Operating system type used by the VM. KnownVMPriceOSType can be used interchangeably with VMPriceOSType, this enum contains the known values that the service supports. Known values supported by the service Linux Windows
VMTier	The type of the VM. KnownVMTier can be used interchangeably with VMTier, this enum contains the known values that the service supports. Known values supported by the service Standard LowPriority Spot
ValidationMetricType	Metric computation method to use for validation metrics in image tasks. KnownValidationMetricType can be used interchangeably with ValidationMetricType, this enum contains the known values that the service supports. Known values supported by the service None: No metric. Coco: Coco metric. Voc: Voc metric. CocoVoc: CocoVoc metric.
VmPriority	Virtual Machine priority KnownVmPriority can be used interchangeably with VmPriority, this enum contains the known values that the service supports. Known values supported by the service Dedicated LowPriority
VolumeDefinitionType	Type of Volume Definition. Possible Values: bind,volume,tmpfs,npipe KnownVolumeDefinitionType can be used interchangeably with VolumeDefinitionType, this enum contains the known values that the service supports. Known values supported by the service bind volume tmpfs npipe
VulnerabilityRisk	Type of VulnerabilityRisk
WebhookType	Enum to determine the webhook callback service type. KnownWebhookType can be used interchangeably with WebhookType, this enum contains the known values that the service supports. Known values supported by the service AzureDevOps
WebhookUnion	Alias for WebhookUnion
WeekDay	Enum of weekday KnownWeekDay can be used interchangeably with WeekDay, this enum contains the known values that the service supports. Known values supported by the service Monday: Monday weekday Tuesday: Tuesday weekday Wednesday: Wednesday weekday Thursday: Thursday weekday Friday: Friday weekday Saturday: Saturday weekday Sunday: Sunday weekday
WorkspaceConnectionPropertiesV2Union	Alias for WorkspaceConnectionPropertiesV2Union

Enums

AzureClouds	An enum to describe Azure Cloud environments.
KnownActionType	Extensible enum. Indicates the action type. "Internal" refers to actions that are for internal only APIs.
KnownAllocationState	Allocation state of the compute. Possible values are: steady - Indicates that the compute is not resizing. There are no changes to the number of compute nodes in the compute in progress. A compute enters this state when it is created and when no operations are being performed on the compute to change the number of compute nodes. resizing - Indicates that the compute is resizing; that is, compute nodes are being added to or removed from the compute.
KnownAllowedContentLevel	Level at which content is filtered.
KnownApplicationSharingPolicy	Policy for sharing applications on this compute instance among users of parent workspace. If Personal, only the creator can access applications on this compute instance. When Shared, any workspace user can access applications on this instance depending on his/her assigned role.
KnownAssetProvisioningState	Provisioning state of registry asset.
KnownAuthMode	Enum to determine endpoint authentication mode.
KnownAutoRebuildSetting	AutoRebuild setting for the derived image
KnownAutosave	Auto save settings.
KnownBatchDeploymentConfigurationType	The enumerated property types for batch deployments.
KnownBatchLoggingLevel	Log verbosity for batch inferencing. Increasing verbosity order for logging is : Warning, Info and Debug. The default value is Info.
KnownBatchOutputAction	Enum to determine how batch inferencing will handle output
KnownBillingCurrency	Three lettered code specifying the currency of the VM price. Example: USD
KnownBlockedTransformers	Enum for all classification models supported by AutoML.
KnownCaching	Caching type of Data Disk.
KnownCapabilityHostKind	Known values of CapabilityHostKind that the service accepts.
KnownCapabilityHostProvisioningState	Provisioning state of capability host.
KnownCategoricalDataDriftMetric	Known values of CategoricalDataDriftMetric that the service accepts.
KnownCategoricalDataQualityMetric	Known values of CategoricalDataQualityMetric that the service accepts.
KnownCategoricalPredictionDriftMetric	Known values of CategoricalPredictionDriftMetric that the service accepts.
KnownClassificationModels	Enum for all classification models supported by AutoML.
KnownClassificationMultilabelPrimaryMetrics	Primary metrics for classification multilabel tasks.
KnownClassificationPrimaryMetrics	Primary metrics for classification tasks.
KnownClusterPurpose	Intended usage of the cluster
KnownComputeInstanceAuthorizationType	The Compute Instance Authorization type. Available values are personal (default).
KnownComputeInstanceState	Current state of an ComputeInstance.
KnownComputePowerAction	[Required] The compute power action.
KnownComputeRecurrenceFrequency	Enum to describe the frequency of a compute recurrence schedule
KnownComputeTriggerType	Known values of ComputeTriggerType that the service accepts.
KnownComputeType	The type of compute
KnownComputeWeekDay	Enum of weekday
KnownConnectionAuthType	Authentication type of the connection target
KnownConnectionCategory	Category of the connection
KnownConnectionGroup	Group based on connection category
KnownContainerType	Known values of ContainerType that the service accepts.
KnownContentSafetyLevel	Specifies the current safety level for content safety.
KnownContentSafetyStatus	Specifies the status of content safety.
KnownCreatedByType	The kind of entity that created the resource.
KnownCredentialsType	Enum to determine the datastore credentials type.
KnownDataAvailabilityStatus	Known values of DataAvailabilityStatus that the service accepts.
KnownDataCollectionMode	Known values of DataCollectionMode that the service accepts.
KnownDataGenerationTaskType	Enum to determine the type of Data Generation Task.
KnownDataGenerationType	Enum to determine the type of Data Generation.
KnownDataReferenceCredentialType	Enum to determine the DataReference credentials type.
KnownDatastoreType	Enum to determine the datastore contents type.
KnownDataType	Enum to determine the type of data.
KnownDefaultActionType	Known values of DefaultActionType that the service accepts.
KnownDefaultResourceProvisioningState	Known values of DefaultResourceProvisioningState that the service accepts.
KnownDeploymentModelVersionUpgradeOption	Deployment model version upgrade option.
KnownDeploymentProvisioningState	Possible values for DeploymentProvisioningState.
KnownDiagnoseResultLevel	Level of workspace setup error
KnownDistributionType	Enum to determine the job distribution type.
KnownEarlyTerminationPolicyType	Known values of EarlyTerminationPolicyType that the service accepts.
KnownEgressPublicNetworkAccessType	Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment.
KnownEmailNotificationEnableType	Enum to determine the email notification type.
KnownEncryptionStatus	Indicates whether or not the encryption is enabled for the workspace.
KnownEndpointAuthMode	Enum to determine endpoint authentication mode.
KnownEndpointComputeType	Enum to determine endpoint compute type.
KnownEndpointProvisioningState	State of endpoint provisioning.
KnownEndpointType	Type of the endpoint.
KnownEnvironmentType	Environment type is either user created or curated by Azure ML service
KnownEnvironmentVariableType	Type of the Environment Variable. Possible values are: local - For local variable
KnownFeatureAttributionMetric	Known values of FeatureAttributionMetric that the service accepts.
KnownFeatureDataType	Known values of FeatureDataType that the service accepts.
KnownFeatureImportanceMode	The mode of operation for computing feature importance.
KnownFeatureLags	Flag for generating lags for the numeric features.
KnownFeaturizationMode	Featurization mode - determines data featurization mode.
KnownFineTuningTaskType	Known values of FineTuningTaskType that the service accepts.
KnownFirewallSku	Firewall Sku used for FQDN Rules
KnownForecastHorizonMode	Enum to determine forecast horizon selection mode.
KnownForecastingModels	Enum for all forecasting models supported by AutoML.
KnownForecastingPrimaryMetrics	Primary metrics for Forecasting task.
KnownGoal	Defines supported metric goals for hyperparameter tuning
KnownIdentityConfigurationType	Enum to determine identity framework.
KnownImageType	Type of the image. Possible values are: docker - For docker images. azureml - For AzureML Environment images (custom and curated)
KnownInputDeliveryMode	Enum to determine the input data delivery mode.
KnownInstanceSegmentationPrimaryMetrics	Primary metrics for InstanceSegmentation tasks.
KnownIsolationMode	Isolation mode for the managed network of a machine learning workspace.
KnownJobInputType	Enum to determine the Job Input Type.
KnownJobLimitsType	Known values of JobLimitsType that the service accepts.
KnownJobOutputType	Enum to determine the Job Output Type.
KnownJobStatus	The status of a job.
KnownJobTier	Enum to determine the job tier.
KnownJobType	Enum to determine the type of job.
KnownKeyType	Known values of KeyType that the service accepts.
KnownLearningRateScheduler	Learning rate scheduler enum.
KnownListViewType	Known values of ListViewType that the service accepts.
KnownLoadBalancerType	Load Balancer Type
KnownLogVerbosity	Enum for setting log verbosity.
KnownManagedNetworkKind	The Kind of the managed network. Users can switch from V1 to V2 for granular access controls, but cannot switch back to V1 once V2 is enabled.
KnownManagedNetworkProvisioningState	Known values of ManagedNetworkProvisioningState that the service accepts.
KnownManagedNetworkStatus	Status for the managed network of a machine learning workspace.
KnownManagedPERequirement	Known values of ManagedPERequirement that the service accepts.
KnownManagedPEStatus	Known values of ManagedPEStatus that the service accepts.
KnownManagedServiceIdentityType	Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
KnownMarketplaceSubscriptionProvisioningState	Known values of MarketplaceSubscriptionProvisioningState that the service accepts.
KnownMarketplaceSubscriptionStatus	Known values of MarketplaceSubscriptionStatus that the service accepts.
KnownMaterializationStoreType	Known values of MaterializationStoreType that the service accepts.
KnownMlflowAutologger	Indicates whether mlflow autologger is enabled for notebooks.
KnownModelLifecycleStatus	Model lifecycle status.
KnownModelProvider	Enum to determine the type of fine tuning.
KnownModelSize	Image model size.
KnownModelTaskType	Model task type enum.
KnownMonitorComputeIdentityType	Monitor compute identity type enum.
KnownMonitorComputeType	Monitor compute type enum.
KnownMonitoringFeatureDataType	Known values of MonitoringFeatureDataType that the service accepts.
KnownMonitoringFeatureFilterType	Known values of MonitoringFeatureFilterType that the service accepts.
KnownMonitoringInputDataType	Monitoring input data type enum.
KnownMonitoringNotificationType	Known values of MonitoringNotificationType that the service accepts.
KnownMonitoringSignalType	Known values of MonitoringSignalType that the service accepts.
KnownMountAction	Mount Action.
KnownMountMode	Mount Mode.
KnownMountState	Mount state.
KnownNCrossValidationsMode	Determines how N-Cross validations value is determined.
KnownNetwork	network of this container.
KnownNodeState	State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
KnownNodesValueType	The enumerated types for the nodes value
KnownNumericalDataDriftMetric	Known values of NumericalDataDriftMetric that the service accepts.
KnownNumericalDataQualityMetric	Known values of NumericalDataQualityMetric that the service accepts.
KnownNumericalPredictionDriftMetric	Known values of NumericalPredictionDriftMetric that the service accepts.
KnownObjectDetectionPrimaryMetrics	Primary metrics for Image ObjectDetection task.
KnownOneLakeArtifactType	Enum to determine OneLake artifact type.
KnownOperatingSystemType	The type of operating system.
KnownOperationName	Name of the last operation.
KnownOperationStatus	Operation status.
KnownOperationTrigger	Trigger of operation.
KnownOrderString	Known values of OrderString that the service accepts.
KnownOrigin	The intended executor of the operation; as in Resource Based Access Control (RBAC) and audit logs UX. Default value is "user,system"
KnownOsType	Compute OS Type
KnownOutputDeliveryMode	Output data delivery mode enums.
KnownPatchStatus	The os patching status.
KnownPendingUploadCredentialType	Enum to determine the PendingUpload credentials type.
KnownPendingUploadType	Type of storage to use for the pending upload location
KnownPoolProvisioningState	State of pool related resources provisioning.
KnownPrivateEndpointConnectionProvisioningState	The current provisioning state.
KnownPrivateEndpointServiceConnectionStatus	Connection status of the service consumer with the service provider
KnownProtocol	Protocol over which communication will happen over this endpoint
KnownProvisioningState	The provision state of the cluster. Valid values are Unknown, Updating, Provisioning, Succeeded, and Failed.
KnownProvisioningStatus	The current deployment state of schedule.
KnownPublicNetworkAccess	Enum to determine whether PublicNetworkAccess is Enabled or Disabled.
KnownQuotaUnit	An enum describing the unit of quota measurement.
KnownRaiPolicyContentSource	Content source to apply the Content Filters.
KnownRaiPolicyMode	Content Filters mode.
KnownRaiPolicyType	Content Filters policy type.
KnownRandomSamplingAlgorithmRule	The specific type of random algorithm
KnownRecurrenceFrequency	Enum to describe the frequency of a recurrence schedule
KnownReferenceType	Enum to determine which reference method to use for an asset.
KnownRegressionModels	Enum for all Regression models supported by AutoML.
KnownRegressionPrimaryMetrics	Primary metrics for Regression task.
KnownRemoteLoginPortPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on all nodes of the cluster. Enabled - Indicates that the public ssh port is open on all nodes of the cluster. NotSpecified - Indicates that the public ssh port is closed on all nodes of the cluster if VNet is defined, else is open all public nodes. It can be default only during cluster creation time, after creation it will be either enabled or disabled.
KnownRollingRateType	Known values of RollingRateType that the service accepts.
KnownRuleAction	The action enum for networking rule.
KnownRuleCategory	Category of a managed network Outbound Rule of a machine learning workspace.
KnownRuleStatus	Type of a managed network Outbound Rule of a machine learning workspace.
KnownRuleType	Type of a managed network Outbound Rule of a machine learning workspace.
KnownSamplingAlgorithmType	Known values of SamplingAlgorithmType that the service accepts.
KnownScaleType	Known values of ScaleType that the service accepts.
KnownScheduleActionType	Known values of ScheduleActionType that the service accepts.
KnownScheduleListViewType	Known values of ScheduleListViewType that the service accepts.
KnownScheduleProvisioningState	The current deployment state of schedule.
KnownScheduleProvisioningStatus	Known values of ScheduleProvisioningStatus that the service accepts.
KnownScheduleStatus	Is the schedule enabled or disabled?
KnownSeasonalityMode	Forecasting seasonality mode.
KnownSecretsType	Enum to determine the datastore secrets type.
KnownServerlessEndpointState	State of the Serverless Endpoint.
KnownServerlessInferenceEndpointAuthMode	Known values of ServerlessInferenceEndpointAuthMode that the service accepts.
KnownServiceAccountKeyName	Known values of ServiceAccountKeyName that the service accepts.
KnownServiceDataAccessAuthIdentity	Known values of ServiceDataAccessAuthIdentity that the service accepts.
KnownShortSeriesHandlingConfiguration	The parameter defining how if AutoML should handle short time series.
KnownSkuScaleType	Node scaling setting for the compute sku.
KnownSourceType	Data source type.
KnownSparkJobEntryType	Known values of SparkJobEntryType that the service accepts.
KnownSshPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on this instance. Enabled - Indicates that the public ssh port is open and accessible according to the VNet/subnet policy if applicable.
KnownSslConfigStatus	Enable or disable ssl for scoring
KnownStackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models. Default meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled). This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression
KnownStatus	Status of update workspace quota.
KnownStochasticOptimizer	Stochastic optimizer for image models.
KnownStorageAccountType	type of this storage account.
KnownSystemDatastoresAuthMode	The auth mode used for accessing the system datastores of the workspace.
KnownTargetAggregationFunction	Target aggregate function.
KnownTargetLagsMode	Target lags selection modes.
KnownTargetRollingWindowSizeMode	Target rolling windows size mode.
KnownTaskType	AutoMLJob Task type.
KnownTriggerType	Known values of TriggerType that the service accepts.
KnownUnderlyingResourceAction	Known values of UnderlyingResourceAction that the service accepts.
KnownUnitOfMeasure	The unit of time measurement for the specified VM price. Example: OneHour
KnownUsageUnit	An enum describing the unit of usage measurement.
KnownUseStl	Configure STL Decomposition of the time-series target column.
KnownValidationMetricType	Metric computation method to use for validation metrics in image tasks.
KnownVersions	The available API versions.
KnownVMPriceOSType	Operating system type used by the VM.
KnownVmPriority	Virtual Machine priority
KnownVMTier	The type of the VM.
KnownVolumeDefinitionType	Type of Volume Definition. Possible Values: bind,volume,tmpfs,npipe
KnownVulnerabilityRisk	Known values of VulnerabilityRisk that the service accepts.
KnownWebhookType	Enum to determine the webhook callback service type.
KnownWeekDay	Enum of weekday

Functions

isRestError(unknown)	Typeguard for RestError
restorePoller<TResponse, TResult>(AzureMachineLearningServicesManagementClient, string, (args: any[]) => PollerLike<OperationState<TResult>, TResult>, RestorePollerOptions<TResult, PathUncheckedResponse>)	Creates a poller from the serialized state of another poller. This can be useful when you want to create pollers on a different host or a poller needs to be constructed after the original one is not in scope.

Variables

RestError

A custom error type for failed pipeline requests.

Function Details

isRestError(unknown)

Typeguard for RestError

function isRestError(e: unknown): e is RestError

Parameters

e

unknown

Something caught by a catch clause.

Returns

e is RestError

restorePoller<TResponse, TResult>(AzureMachineLearningServicesManagementClient, string, (args: any[]) => PollerLike<OperationState<TResult>, TResult>, RestorePollerOptions<TResult, PathUncheckedResponse>)

Creates a poller from the serialized state of another poller. This can be useful when you want to create pollers on a different host or a poller needs to be constructed after the original one is not in scope.

function restorePoller<TResponse, TResult>(client: AzureMachineLearningServicesManagementClient, serializedState: string, sourceOperation: (args: any[]) => PollerLike<OperationState<TResult>, TResult>, options?: RestorePollerOptions<TResult, PathUncheckedResponse>): PollerLike<OperationState<TResult>, TResult>

Parameters

client

AzureMachineLearningServicesManagementClient

serializedState

string

sourceOperation

(args: any[]) => PollerLike<OperationState<TResult>, TResult>

options

RestorePollerOptions<TResult, PathUncheckedResponse>

Returns

PollerLike<OperationState<TResult>, TResult>

Variable Details

RestError

A custom error type for failed pipeline requests.

RestError: RestErrorConstructor

Type

RestErrorConstructor