@azure/arm-machinelearning package

Classes

AzureMachineLearningWorkspaces

Interfaces

AKSSchema
AKSSchemaProperties	AKS properties
AccountKeyDatastoreCredentials	Account key datastore credentials configuration.
AccountKeyDatastoreSecrets	Datastore account key secrets.
Aks	A Machine Learning compute based on AKS.
AksComputeSecrets	Secrets related to a Machine Learning compute based on AKS.
AksComputeSecretsProperties	Properties of AksComputeSecrets
AksNetworkingConfiguration	Advance configuration for AKS networking
AmlCompute	An Azure Machine Learning compute.
AmlComputeNodeInformation	Compute node information related to a AmlCompute.
AmlComputeNodesInformation	Result of AmlCompute Nodes
AmlComputeProperties	AML Compute properties
AmlComputeSchema	Properties(top level) of AmlCompute
AmlOperation	Azure Machine Learning workspace REST API operation
AmlOperationDisplay	Display name of operation
AmlOperationListResult	An array of operations supported by the resource provider.
AmlToken	AML Token identity configuration.
AmlUserFeature	Features enabled for a workspace
AssetBase
AssetContainer
AssetJobInput	Asset input type.
AssetJobOutput	Asset output type.
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	Forecasting seasonality.
AutoTargetLags	The number of past periods to lag from the target column.
AutoTargetRollingWindowSize	Target lags rolling window determined automatically.
AzureBlobDatastore	Azure Blob datastore configuration.
AzureDataLakeGen1Datastore	Azure Data Lake Gen1 datastore configuration.
AzureDataLakeGen2Datastore	Azure Data Lake Gen2 datastore configuration.
AzureFileDatastore	Azure File datastore configuration.
AzureMachineLearningWorkspacesOptionalParams	Optional parameters.
BanditPolicy	Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation
BatchDeployment	The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'
BatchDeploymentProperties	Batch inference settings per deployment.
BatchDeploymentTrackedResourceArmPaginatedResult	A paginated list of BatchDeployment entities.
BatchDeployments	Interface representing a BatchDeployments.
BatchDeploymentsCreateOrUpdateHeaders	Defines headers for BatchDeployments_createOrUpdate operation.
BatchDeploymentsCreateOrUpdateOptionalParams	Optional parameters.
BatchDeploymentsDeleteHeaders	Defines headers for BatchDeployments_delete operation.
BatchDeploymentsDeleteOptionalParams	Optional parameters.
BatchDeploymentsGetOptionalParams	Optional parameters.
BatchDeploymentsListNextOptionalParams	Optional parameters.
BatchDeploymentsListOptionalParams	Optional parameters.
BatchDeploymentsUpdateHeaders	Defines headers for BatchDeployments_update operation.
BatchDeploymentsUpdateOptionalParams	Optional parameters.
BatchEndpoint	The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'
BatchEndpointDefaults	Batch endpoint default values
BatchEndpointProperties	Batch endpoint configuration.
BatchEndpointTrackedResourceArmPaginatedResult	A paginated list of BatchEndpoint entities.
BatchEndpoints	Interface representing a BatchEndpoints.
BatchEndpointsCreateOrUpdateHeaders	Defines headers for BatchEndpoints_createOrUpdate operation.
BatchEndpointsCreateOrUpdateOptionalParams	Optional parameters.
BatchEndpointsDeleteHeaders	Defines headers for BatchEndpoints_delete operation.
BatchEndpointsDeleteOptionalParams	Optional parameters.
BatchEndpointsGetOptionalParams	Optional parameters.
BatchEndpointsListKeysOptionalParams	Optional parameters.
BatchEndpointsListNextOptionalParams	Optional parameters.
BatchEndpointsListOptionalParams	Optional parameters.
BatchEndpointsUpdateHeaders	Defines headers for BatchEndpoints_update operation.
BatchEndpointsUpdateOptionalParams	Optional parameters.
BatchRetrySettings	Retry settings for a batch inference operation.
BayesianSamplingAlgorithm	Defines a Sampling Algorithm that generates values based on previous values
BuildContext	Configuration settings for Docker build context
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.
CodeConfiguration	Configuration for a scoring code asset.
CodeContainer	Azure Resource Manager resource envelope.
CodeContainerProperties	Container for code asset versions.
CodeContainerResourceArmPaginatedResult	A paginated list of CodeContainer entities.
CodeContainers	Interface representing a CodeContainers.
CodeContainersCreateOrUpdateOptionalParams	Optional parameters.
CodeContainersDeleteOptionalParams	Optional parameters.
CodeContainersGetOptionalParams	Optional parameters.
CodeContainersListNextOptionalParams	Optional parameters.
CodeContainersListOptionalParams	Optional parameters.
CodeVersion	Azure Resource Manager resource envelope.
CodeVersionProperties	Code asset version details.
CodeVersionResourceArmPaginatedResult	A paginated list of CodeVersion entities.
CodeVersions	Interface representing a CodeVersions.
CodeVersionsCreateOrUpdateOptionalParams	Optional parameters.
CodeVersionsDeleteOptionalParams	Optional parameters.
CodeVersionsGetOptionalParams	Optional parameters.
CodeVersionsListNextOptionalParams	Optional parameters.
CodeVersionsListOptionalParams	Optional parameters.
ColumnTransformer	Column transformer parameters.
CommandJob	Command job definition.
CommandJobLimits	Command Job limit class.
ComponentContainer	Azure Resource Manager resource envelope.
ComponentContainerProperties	Component container definition.
ComponentContainerResourceArmPaginatedResult	A paginated list of ComponentContainer entities.
ComponentContainers	Interface representing a ComponentContainers.
ComponentContainersCreateOrUpdateOptionalParams	Optional parameters.
ComponentContainersDeleteOptionalParams	Optional parameters.
ComponentContainersGetOptionalParams	Optional parameters.
ComponentContainersListNextOptionalParams	Optional parameters.
ComponentContainersListOptionalParams	Optional parameters.
ComponentVersion	Azure Resource Manager resource envelope.
ComponentVersionProperties	Definition of a component version: defines resources that span component types.
ComponentVersionResourceArmPaginatedResult	A paginated list of ComponentVersion entities.
ComponentVersions	Interface representing a ComponentVersions.
ComponentVersionsCreateOrUpdateOptionalParams	Optional parameters.
ComponentVersionsDeleteOptionalParams	Optional parameters.
ComponentVersionsGetOptionalParams	Optional parameters.
ComponentVersionsListNextOptionalParams	Optional parameters.
ComponentVersionsListOptionalParams	Optional parameters.
Compute	Machine Learning compute object.
ComputeCreateOrUpdateHeaders	Defines headers for Compute_createOrUpdate operation.
ComputeCreateOrUpdateOptionalParams	Optional parameters.
ComputeDeleteHeaders	Defines headers for Compute_delete operation.
ComputeDeleteOptionalParams	Optional parameters.
ComputeGetOptionalParams	Optional parameters.
ComputeInstance	An Azure Machine Learning compute instance.
ComputeInstanceApplication	Defines an Aml Instance application and its connectivity endpoint URI.
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
ComputeInstanceSchema	Properties(top level) of ComputeInstance
ComputeInstanceSshSettings	Specifies policy and settings for SSH access.
ComputeInstanceVersion	Version of computeInstance.
ComputeListKeysOptionalParams	Optional parameters.
ComputeListNextOptionalParams	Optional parameters.
ComputeListNodesNextOptionalParams	Optional parameters.
ComputeListNodesOptionalParams	Optional parameters.
ComputeListOptionalParams	Optional parameters.
ComputeOperations	Interface representing a ComputeOperations.
ComputeResource	Machine Learning compute object wrapped into ARM resource envelope.
ComputeResourceSchema
ComputeRestartOptionalParams	Optional parameters.
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.
ComputeStartOptionalParams	Optional parameters.
ComputeStartStopSchedule	Compute start stop schedule properties
ComputeStopOptionalParams	Optional parameters.
ComputeUpdateOptionalParams	Optional parameters.
ContainerResourceRequirements	Resource requirements for each container instance within an online deployment.
ContainerResourceSettings
CosmosDbSettings
CronTrigger
CustomForecastHorizon	The desired maximum forecast horizon in units of time-series frequency.
CustomModelJobInput	Asset input type.
CustomModelJobOutput	Asset output type.
CustomNCrossValidations	N-Cross validations are specified by user.
CustomSeasonality	Forecasting seasonality.
CustomTargetLags	The number of past periods to lag from the target column.
CustomTargetRollingWindowSize	Forecasting target rolling window size.
DataContainer	Azure Resource Manager resource envelope.
DataContainerProperties	Container for data asset versions.
DataContainerResourceArmPaginatedResult	A paginated list of DataContainer entities.
DataContainers	Interface representing a DataContainers.
DataContainersCreateOrUpdateOptionalParams	Optional parameters.
DataContainersDeleteOptionalParams	Optional parameters.
DataContainersGetOptionalParams	Optional parameters.
DataContainersListNextOptionalParams	Optional parameters.
DataContainersListOptionalParams	Optional parameters.
DataFactory	A DataFactory compute.
DataLakeAnalytics	A DataLakeAnalytics compute.
DataLakeAnalyticsSchema
DataLakeAnalyticsSchemaProperties
DataPathAssetReference	Reference to an asset via its path in a datastore.
DataVersionBase	Azure Resource Manager resource envelope.
DataVersionBaseProperties	Data version base definition
DataVersionBaseResourceArmPaginatedResult	A paginated list of DataVersionBase entities.
DataVersions	Interface representing a DataVersions.
DataVersionsCreateOrUpdateOptionalParams	Optional parameters.
DataVersionsDeleteOptionalParams	Optional parameters.
DataVersionsGetOptionalParams	Optional parameters.
DataVersionsListNextOptionalParams	Optional parameters.
DataVersionsListOptionalParams	Optional parameters.
Databricks	A DataFactory compute.
DatabricksComputeSecrets	Secrets related to a Machine Learning compute based on Databricks.
DatabricksComputeSecretsProperties	Properties of Databricks Compute Secrets
DatabricksProperties	Properties of Databricks
DatabricksSchema
Datastore	Azure Resource Manager resource envelope.
DatastoreCredentials	Base definition for datastore credentials.
DatastoreProperties	Base definition for datastore contents configuration.
DatastoreResourceArmPaginatedResult	A paginated list of Datastore entities.
DatastoreSecrets	Base definition for datastore secrets.
Datastores	Interface representing a Datastores.
DatastoresCreateOrUpdateOptionalParams	Optional parameters.
DatastoresDeleteOptionalParams	Optional parameters.
DatastoresGetOptionalParams	Optional parameters.
DatastoresListNextOptionalParams	Optional parameters.
DatastoresListOptionalParams	Optional parameters.
DatastoresListSecretsOptionalParams	Optional parameters.
DefaultScaleSettings	Online deployment scaling configuration.
DeploymentLogs
DeploymentLogsRequest
DeploymentResourceConfiguration
DiagnoseRequestProperties
DiagnoseResponseResult
DiagnoseResponseResultValue
DiagnoseResult	Result of Diagnose
DiagnoseWorkspaceParameters	Parameters to diagnose a workspace
DistributionConfiguration	Base definition for job distribution configuration.
EarlyTerminationPolicy	Early termination policies enable canceling poor-performing runs before they complete
EncryptionKeyVaultProperties
EncryptionProperty
EndpointAuthKeys	Keys for endpoint authentication.
EndpointAuthToken	Service Token
EndpointDeploymentPropertiesBase	Base definition for endpoint deployment.
EndpointPropertiesBase	Inference Endpoint base definition
EndpointScheduleAction
EnvironmentContainer	Azure Resource Manager resource envelope.
EnvironmentContainerProperties	Container for environment specification versions.
EnvironmentContainerResourceArmPaginatedResult	A paginated list of EnvironmentContainer entities.
EnvironmentContainers	Interface representing a EnvironmentContainers.
EnvironmentContainersCreateOrUpdateOptionalParams	Optional parameters.
EnvironmentContainersDeleteOptionalParams	Optional parameters.
EnvironmentContainersGetOptionalParams	Optional parameters.
EnvironmentContainersListNextOptionalParams	Optional parameters.
EnvironmentContainersListOptionalParams	Optional parameters.
EnvironmentVersion	Azure Resource Manager resource envelope.
EnvironmentVersionProperties	Environment version details.
EnvironmentVersionResourceArmPaginatedResult	A paginated list of EnvironmentVersion entities.
EnvironmentVersions	Interface representing a EnvironmentVersions.
EnvironmentVersionsCreateOrUpdateOptionalParams	Optional parameters.
EnvironmentVersionsDeleteOptionalParams	Optional parameters.
EnvironmentVersionsGetOptionalParams	Optional parameters.
EnvironmentVersionsListNextOptionalParams	Optional parameters.
EnvironmentVersionsListOptionalParams	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. (This also follows the OData error response format.).
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
FeaturizationSettings	Featurization Configuration.
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
FqdnEndpointDetail
FqdnEndpoints
FqdnEndpointsProperties
GridSamplingAlgorithm	Defines a Sampling Algorithm that exhaustively generates every value combination in the space
HDInsight	A HDInsight compute.
HDInsightProperties	HDInsight compute properties
HDInsightSchema
IdAssetReference	Reference to an asset via its ARM resource ID.
IdentityConfiguration	Base definition for identity configuration.
IdentityForCmk	Identity that will be used to access key vault for encryption at rest
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'.
ImageClassificationBase	Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
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'.
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.
ImageModelDistributionSettings	Distribution expressions to sweep over values of model settings. Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; 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. Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; 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. Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; 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.
ImageObjectDetectionBase	Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
ImageSweepSettings	Model sweeping and hyperparameter sweeping related settings.
ImageVertical	Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
InferenceContainerProperties
InstanceTypeSchema	Instance type schema.
InstanceTypeSchemaResources	Resource requests/limits for this instance type
JobBase	Azure Resource Manager resource envelope.
JobBaseProperties	Base definition for a job.
JobBaseResourceArmPaginatedResult	A paginated list of JobBase entities.
JobInput	Command job definition.
JobLimits
JobOutput	Job output definition container information on where to find job output/logs.
JobResourceConfiguration
JobScheduleAction
JobService	Job endpoint definition
Jobs	Interface representing a Jobs.
JobsCancelHeaders	Defines headers for Jobs_cancel operation.
JobsCancelOptionalParams	Optional parameters.
JobsCreateOrUpdateOptionalParams	Optional parameters.
JobsDeleteHeaders	Defines headers for Jobs_delete operation.
JobsDeleteOptionalParams	Optional parameters.
JobsGetOptionalParams	Optional parameters.
JobsListNextOptionalParams	Optional parameters.
JobsListOptionalParams	Optional parameters.
Kubernetes	A Machine Learning compute based on Kubernetes Compute.
KubernetesOnlineDeployment	Properties specific to a KubernetesOnlineDeployment.
KubernetesProperties	Kubernetes properties
KubernetesSchema	Kubernetes Compute Schema
ListAmlUserFeatureResult	The List Aml user feature operation response.
ListNotebookKeysResult
ListStorageAccountKeysResult
ListUsagesResult	The List Usages operation response.
ListWorkspaceKeysResult
ListWorkspaceQuotas	The List WorkspaceQuotasByVMFamily operation response.
LiteralJobInput	Literal input type.
MLFlowModelJobInput	Asset input type.
MLFlowModelJobOutput	Asset output type.
MLTableData	MLTable data definition
MLTableJobInput	Asset input type.
MLTableJobOutput	Asset output type.
ManagedIdentity	Managed identity configuration.
ManagedIdentityAuthTypeWorkspaceConnectionProperties
ManagedOnlineDeployment	Properties specific to a ManagedOnlineDeployment.
ManagedServiceIdentity	Managed service identity (system assigned and/or user assigned identities)
MedianStoppingPolicy	Defines an early termination policy based on running averages of the primary metric of all runs
ModelContainer	Azure Resource Manager resource envelope.
ModelContainerProperties
ModelContainerResourceArmPaginatedResult	A paginated list of ModelContainer entities.
ModelContainers	Interface representing a ModelContainers.
ModelContainersCreateOrUpdateOptionalParams	Optional parameters.
ModelContainersDeleteOptionalParams	Optional parameters.
ModelContainersGetOptionalParams	Optional parameters.
ModelContainersListNextOptionalParams	Optional parameters.
ModelContainersListOptionalParams	Optional parameters.
ModelVersion	Azure Resource Manager resource envelope.
ModelVersionProperties	Model asset version details.
ModelVersionResourceArmPaginatedResult	A paginated list of ModelVersion entities.
ModelVersions	Interface representing a ModelVersions.
ModelVersionsCreateOrUpdateOptionalParams	Optional parameters.
ModelVersionsDeleteOptionalParams	Optional parameters.
ModelVersionsGetOptionalParams	Optional parameters.
ModelVersionsListNextOptionalParams	Optional parameters.
ModelVersionsListOptionalParams	Optional parameters.
Mpi	MPI distribution configuration.
NCrossValidations	N-Cross validations value.
NlpVertical	Abstract class for NLP related AutoML tasks. NLP - Natural Language Processing.
NlpVerticalFeaturizationSettings	Featurization Configuration.
NlpVerticalLimitSettings	Job execution constraints.
NodeStateCounts	Counts of various compute node states on the amlCompute.
NoneAuthTypeWorkspaceConnectionProperties
NoneDatastoreCredentials	Empty/none datastore credentials.
NotebookAccessTokenResult
NotebookPreparationError
NotebookResourceInfo
Objective	Optimization objective.
OnlineDeployment	The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'
OnlineDeploymentProperties	Base definition for endpoint deployment.
OnlineDeploymentTrackedResourceArmPaginatedResult	A paginated list of OnlineDeployment entities.
OnlineDeployments	Interface representing a OnlineDeployments.
OnlineDeploymentsCreateOrUpdateHeaders	Defines headers for OnlineDeployments_createOrUpdate operation.
OnlineDeploymentsCreateOrUpdateOptionalParams	Optional parameters.
OnlineDeploymentsDeleteHeaders	Defines headers for OnlineDeployments_delete operation.
OnlineDeploymentsDeleteOptionalParams	Optional parameters.
OnlineDeploymentsGetLogsOptionalParams	Optional parameters.
OnlineDeploymentsGetOptionalParams	Optional parameters.
OnlineDeploymentsListNextOptionalParams	Optional parameters.
OnlineDeploymentsListOptionalParams	Optional parameters.
OnlineDeploymentsListSkusNextOptionalParams	Optional parameters.
OnlineDeploymentsListSkusOptionalParams	Optional parameters.
OnlineDeploymentsUpdateHeaders	Defines headers for OnlineDeployments_update operation.
OnlineDeploymentsUpdateOptionalParams	Optional parameters.
OnlineEndpoint	The resource model definition for an Azure Resource Manager tracked top level resource which has 'tags' and a 'location'
OnlineEndpointProperties	Online endpoint configuration
OnlineEndpointTrackedResourceArmPaginatedResult	A paginated list of OnlineEndpoint entities.
OnlineEndpoints	Interface representing a OnlineEndpoints.
OnlineEndpointsCreateOrUpdateHeaders	Defines headers for OnlineEndpoints_createOrUpdate operation.
OnlineEndpointsCreateOrUpdateOptionalParams	Optional parameters.
OnlineEndpointsDeleteHeaders	Defines headers for OnlineEndpoints_delete operation.
OnlineEndpointsDeleteOptionalParams	Optional parameters.
OnlineEndpointsGetOptionalParams	Optional parameters.
OnlineEndpointsGetTokenOptionalParams	Optional parameters.
OnlineEndpointsListKeysOptionalParams	Optional parameters.
OnlineEndpointsListNextOptionalParams	Optional parameters.
OnlineEndpointsListOptionalParams	Optional parameters.
OnlineEndpointsRegenerateKeysHeaders	Defines headers for OnlineEndpoints_regenerateKeys operation.
OnlineEndpointsRegenerateKeysOptionalParams	Optional parameters.
OnlineEndpointsUpdateHeaders	Defines headers for OnlineEndpoints_update operation.
OnlineEndpointsUpdateOptionalParams	Optional parameters.
OnlineRequestSettings	Online deployment scoring requests configuration.
OnlineScaleSettings	Online deployment scaling configuration.
Operations	Interface representing a Operations.
OperationsListOptionalParams	Optional parameters.
OutputPathAssetReference	Reference to an asset via its path in a job output.
PATAuthTypeWorkspaceConnectionProperties
PaginatedComputeResourcesList	Paginated list of Machine Learning compute objects wrapped in ARM resource envelope.
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.
PartialSku	Common SKU definition.
Password
PersonalComputeInstanceSettings	Settings for a personal compute instance.
PipelineJob	Pipeline Job definition: defines generic to MFE attributes.
PrivateEndpoint	The Private Endpoint resource.
PrivateEndpointConnection	The Private Endpoint Connection resource.
PrivateEndpointConnectionListResult	List of private endpoint connection associated with the specified workspace
PrivateEndpointConnections	Interface representing a PrivateEndpointConnections.
PrivateEndpointConnectionsCreateOrUpdateOptionalParams	Optional parameters.
PrivateEndpointConnectionsDeleteOptionalParams	Optional parameters.
PrivateEndpointConnectionsGetOptionalParams	Optional parameters.
PrivateEndpointConnectionsListOptionalParams	Optional parameters.
PrivateLinkResource	A private link resource
PrivateLinkResourceListResult	A list of private link resources
PrivateLinkResources	Interface representing a PrivateLinkResources.
PrivateLinkResourcesListOptionalParams	Optional parameters.
PrivateLinkServiceConnectionState	A collection of information about the state of the connection between service consumer and provider.
ProbeSettings	Deployment container liveness/readiness probe configuration.
PyTorch	PyTorch distribution configuration.
QuotaBaseProperties	The properties for Quota update or retrieval.
QuotaUpdateParameters	Quota update parameters.
Quotas	Interface representing a Quotas.
QuotasListNextOptionalParams	Optional parameters.
QuotasListOptionalParams	Optional parameters.
QuotasUpdateOptionalParams	Optional parameters.
RandomSamplingAlgorithm	Defines a Sampling Algorithm that generates values randomly
RecurrenceSchedule
RecurrenceTrigger
RegenerateEndpointKeysRequest
RegistryListCredentialsResult
Regression	Regression task in AutoML Table vertical.
RegressionTrainingSettings	Regression Training related configuration.
Resource	Common fields that are returned in the response for all Azure Resource Manager resources
ResourceBase
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.
Route
SASAuthTypeWorkspaceConnectionProperties
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.
Schedule	Azure Resource Manager resource envelope.
ScheduleActionBase
ScheduleBase
ScheduleProperties	Base definition of a schedule
ScheduleResourceArmPaginatedResult	A paginated list of Schedule entities.
Schedules	Interface representing a Schedules.
SchedulesCreateOrUpdateHeaders	Defines headers for Schedules_createOrUpdate operation.
SchedulesCreateOrUpdateOptionalParams	Optional parameters.
SchedulesDeleteHeaders	Defines headers for Schedules_delete operation.
SchedulesDeleteOptionalParams	Optional parameters.
SchedulesGetOptionalParams	Optional parameters.
SchedulesListNextOptionalParams	Optional parameters.
SchedulesListOptionalParams	Optional parameters.
ScriptReference	Script reference
ScriptsToExecute	Customized setup scripts
Seasonality	Forecasting seasonality.
ServiceManagedResourcesSettings
ServicePrincipalDatastoreCredentials	Service Principal datastore credentials configuration.
ServicePrincipalDatastoreSecrets	Datastore Service Principal secrets.
SetupScripts	Details of customized scripts to execute for setting up the cluster.
SharedPrivateLinkResource
Sku	The resource model definition representing SKU
SkuCapacity	SKU capacity information
SkuResource	Fulfills ARM Contract requirement to list all available SKUS for a resource.
SkuResourceArmPaginatedResult	A paginated list of SkuResource entities.
SkuSetting	SkuSetting fulfills the need for stripped down SKU info in ARM contract.
SslConfiguration	The ssl configuration for scoring
StackEnsembleSettings	Advances setting to customize StackEnsemble run.
SweepJob	Sweep job definition.
SweepJobLimits	Sweep Job limit class.
SynapseSpark	A SynapseSpark compute.
SynapseSparkProperties
SystemData	Metadata pertaining to creation and last modification of the resource.
SystemService	A system service running on a compute.
TableVertical	Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.
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	Online deployment scaling configuration.
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.
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
TritonModelJobInput	Asset input type.
TritonModelJobOutput	Asset output type.
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	Asset input type.
UriFileJobOutput	Asset output type.
UriFolderDataVersion	uri-folder data version entity
UriFolderJobInput	Asset input type.
UriFolderJobOutput	Asset output type.
Usage	Describes AML Resource Usage.
UsageName	The Usage Names.
Usages	Interface representing a Usages.
UsagesListNextOptionalParams	Optional parameters.
UsagesListOptionalParams	Optional parameters.
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
VirtualMachine	A Machine Learning compute based on Azure Virtual Machines.
VirtualMachineImage	Virtual Machine image for Windows AML Compute
VirtualMachineSchema
VirtualMachineSchemaProperties
VirtualMachineSecrets	Secrets related to a Machine Learning compute based on AKS.
VirtualMachineSecretsSchema
VirtualMachineSize	Describes the properties of a VM size.
VirtualMachineSizeListResult	The List Virtual Machine size operation response.
VirtualMachineSizes	Interface representing a VirtualMachineSizes.
VirtualMachineSizesListOptionalParams	Optional parameters.
VirtualMachineSshCredentials	Admin credentials for virtual machine
Workspace	An object that represents a machine learning workspace.
WorkspaceConnectionManagedIdentity
WorkspaceConnectionPersonalAccessToken
WorkspaceConnectionPropertiesV2
WorkspaceConnectionPropertiesV2BasicResource	Common fields that are returned in the response for all Azure Resource Manager resources
WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult
WorkspaceConnectionSharedAccessSignature
WorkspaceConnectionUsernamePassword
WorkspaceConnections	Interface representing a WorkspaceConnections.
WorkspaceConnectionsCreateOptionalParams	Optional parameters.
WorkspaceConnectionsDeleteOptionalParams	Optional parameters.
WorkspaceConnectionsGetOptionalParams	Optional parameters.
WorkspaceConnectionsListNextOptionalParams	Optional parameters.
WorkspaceConnectionsListOptionalParams	Optional parameters.
WorkspaceFeatures	Interface representing a WorkspaceFeatures.
WorkspaceFeaturesListNextOptionalParams	Optional parameters.
WorkspaceFeaturesListOptionalParams	Optional parameters.
WorkspaceListResult	The result of a request to list machine learning workspaces.
WorkspaceUpdateParameters	The parameters for updating a machine learning workspace.
Workspaces	Interface representing a Workspaces.
WorkspacesCreateOrUpdateOptionalParams	Optional parameters.
WorkspacesDeleteOptionalParams	Optional parameters.
WorkspacesDiagnoseHeaders	Defines headers for Workspaces_diagnose operation.
WorkspacesDiagnoseOptionalParams	Optional parameters.
WorkspacesGetOptionalParams	Optional parameters.
WorkspacesListByResourceGroupNextOptionalParams	Optional parameters.
WorkspacesListByResourceGroupOptionalParams	Optional parameters.
WorkspacesListBySubscriptionNextOptionalParams	Optional parameters.
WorkspacesListBySubscriptionOptionalParams	Optional parameters.
WorkspacesListKeysOptionalParams	Optional parameters.
WorkspacesListNotebookAccessTokenOptionalParams	Optional parameters.
WorkspacesListNotebookKeysOptionalParams	Optional parameters.
WorkspacesListOutboundNetworkDependenciesEndpointsOptionalParams	Optional parameters.
WorkspacesListStorageAccountKeysOptionalParams	Optional parameters.
WorkspacesPrepareNotebookOptionalParams	Optional parameters.
WorkspacesResyncKeysOptionalParams	Optional parameters.
WorkspacesUpdateOptionalParams	Optional parameters.

Type Aliases

AllocationState	Defines values for AllocationState. 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
ApplicationSharingPolicy	Defines values for ApplicationSharingPolicy. 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
AssetReferenceBaseUnion
AutoMLVerticalUnion
AutoRebuildSetting	Defines values for AutoRebuildSetting. 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	Defines values for Autosave. 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
BatchDeploymentsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
BatchDeploymentsGetResponse	Contains response data for the get operation.
BatchDeploymentsListNextResponse	Contains response data for the listNext operation.
BatchDeploymentsListResponse	Contains response data for the list operation.
BatchDeploymentsUpdateResponse	Contains response data for the update operation.
BatchEndpointsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
BatchEndpointsGetResponse	Contains response data for the get operation.
BatchEndpointsListKeysResponse	Contains response data for the listKeys operation.
BatchEndpointsListNextResponse	Contains response data for the listNext operation.
BatchEndpointsListResponse	Contains response data for the list operation.
BatchEndpointsUpdateResponse	Contains response data for the update operation.
BatchLoggingLevel	Defines values for BatchLoggingLevel. 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	Defines values for BatchOutputAction. 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	Defines values for BillingCurrency. 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	Defines values for BlockedTransformers. 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	Defines values for Caching. 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
ClassificationModels	Defines values for ClassificationModels. 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	Defines values for ClassificationMultilabelPrimaryMetrics. 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	Defines values for ClassificationPrimaryMetrics. 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	Defines values for ClusterPurpose. 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
CodeContainersCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
CodeContainersGetResponse	Contains response data for the get operation.
CodeContainersListNextResponse	Contains response data for the listNext operation.
CodeContainersListResponse	Contains response data for the list operation.
CodeVersionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
CodeVersionsGetResponse	Contains response data for the get operation.
CodeVersionsListNextResponse	Contains response data for the listNext operation.
CodeVersionsListResponse	Contains response data for the list operation.
ComponentContainersCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
ComponentContainersGetResponse	Contains response data for the get operation.
ComponentContainersListNextResponse	Contains response data for the listNext operation.
ComponentContainersListResponse	Contains response data for the list operation.
ComponentVersionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
ComponentVersionsGetResponse	Contains response data for the get operation.
ComponentVersionsListNextResponse	Contains response data for the listNext operation.
ComponentVersionsListResponse	Contains response data for the list operation.
ComputeCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
ComputeGetResponse	Contains response data for the get operation.
ComputeInstanceAuthorizationType	Defines values for ComputeInstanceAuthorizationType. 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	Defines values for ComputeInstanceState. 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 JobRunning SettingUp SetupFailed Starting Stopped Stopping UserSettingUp UserSetupFailed Unknown Unusable
ComputeListKeysResponse	Contains response data for the listKeys operation.
ComputeListNextResponse	Contains response data for the listNext operation.
ComputeListNodesNextResponse	Contains response data for the listNodesNext operation.
ComputeListNodesResponse	Contains response data for the listNodes operation.
ComputeListResponse	Contains response data for the list operation.
ComputePowerAction	Defines values for ComputePowerAction. 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
ComputeSecretsUnion
ComputeType	Defines values for ComputeType. 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
ComputeUpdateResponse	Contains response data for the update operation.
ConnectionAuthType	Defines values for ConnectionAuthType. 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
ConnectionCategory	Defines values for ConnectionCategory. 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
ContainerType	Defines values for ContainerType. KnownContainerType can be used interchangeably with ContainerType, this enum contains the known values that the service supports. Known values supported by the service StorageInitializer InferenceServer
CreatedByType	Defines values for CreatedByType. KnownCreatedByType can be used interchangeably with CreatedByType, this enum contains the known values that the service supports. Known values supported by the service User Application ManagedIdentity Key
CredentialsType	Defines values for CredentialsType. 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
DataContainersCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
DataContainersGetResponse	Contains response data for the get operation.
DataContainersListNextResponse	Contains response data for the listNext operation.
DataContainersListResponse	Contains response data for the list operation.
DataType	Defines values for DataType. 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
DataVersionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
DataVersionsGetResponse	Contains response data for the get operation.
DataVersionsListNextResponse	Contains response data for the listNext operation.
DataVersionsListResponse	Contains response data for the list operation.
DatastoreCredentialsUnion
DatastorePropertiesUnion
DatastoreSecretsUnion
DatastoreType	Defines values for DatastoreType. 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
DatastoresCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
DatastoresGetResponse	Contains response data for the get operation.
DatastoresListNextResponse	Contains response data for the listNext operation.
DatastoresListResponse	Contains response data for the list operation.
DatastoresListSecretsResponse	Contains response data for the listSecrets operation.
DeploymentProvisioningState	Defines 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	Defines values for DiagnoseResultLevel. 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
DistributionType	Defines values for DistributionType. 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
EarlyTerminationPolicyType	Defines values for EarlyTerminationPolicyType. KnownEarlyTerminationPolicyType can be used interchangeably with EarlyTerminationPolicyType, this enum contains the known values that the service supports. Known values supported by the service Bandit MedianStopping TruncationSelection
EarlyTerminationPolicyUnion
EgressPublicNetworkAccessType	Defines values for EgressPublicNetworkAccessType. 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
EncryptionStatus	Defines values for EncryptionStatus. 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	Defines values for EndpointAuthMode. 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	Defines values for EndpointComputeType. 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
EndpointProvisioningState	Defines values for EndpointProvisioningState. 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
EnvironmentContainersCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
EnvironmentContainersGetResponse	Contains response data for the get operation.
EnvironmentContainersListNextResponse	Contains response data for the listNext operation.
EnvironmentContainersListResponse	Contains response data for the list operation.
EnvironmentType	Defines values for EnvironmentType. 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
EnvironmentVersionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
EnvironmentVersionsGetResponse	Contains response data for the get operation.
EnvironmentVersionsListNextResponse	Contains response data for the listNext operation.
EnvironmentVersionsListResponse	Contains response data for the list operation.
FeatureLags	Defines values for FeatureLags. 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	Defines values for FeaturizationMode. 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.
ForecastHorizonMode	Defines values for ForecastHorizonMode. 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
ForecastingModels	Defines values for ForecastingModels. 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	Defines values for ForecastingPrimaryMetrics. 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 values for Goal. 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	Defines values for IdentityConfigurationType. 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
InputDeliveryMode	Defines values for InputDeliveryMode. 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	Defines values for InstanceSegmentationPrimaryMetrics. 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.
JobBasePropertiesUnion
JobInputType	Defines values for JobInputType. 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
JobLimitsType	Defines values for JobLimitsType. KnownJobLimitsType can be used interchangeably with JobLimitsType, this enum contains the known values that the service supports. Known values supported by the service Command Sweep
JobLimitsUnion
JobOutputType	Defines values for JobOutputType. 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
JobStatus	Defines values for JobStatus. 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
JobType	Defines values for JobType. 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
JobsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
JobsGetResponse	Contains response data for the get operation.
JobsListNextResponse	Contains response data for the listNext operation.
JobsListResponse	Contains response data for the list operation.
KeyType	Defines values for KeyType. KnownKeyType can be used interchangeably with KeyType, this enum contains the known values that the service supports. Known values supported by the service Primary Secondary
LearningRateScheduler	Defines values for LearningRateScheduler. 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	Defines values for ListViewType. KnownListViewType can be used interchangeably with ListViewType, this enum contains the known values that the service supports. Known values supported by the service ActiveOnly ArchivedOnly All
LoadBalancerType	Defines values for LoadBalancerType. 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	Defines values for LogVerbosity. 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.
ManagedServiceIdentityType	Defines values for ManagedServiceIdentityType. KnownManagedServiceIdentityType can be used interchangeably with ManagedServiceIdentityType, this enum contains the known values that the service supports. Known values supported by the service None SystemAssigned UserAssigned SystemAssigned,UserAssigned
ModelContainersCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
ModelContainersGetResponse	Contains response data for the get operation.
ModelContainersListNextResponse	Contains response data for the listNext operation.
ModelContainersListResponse	Contains response data for the list operation.
ModelSize	Defines values for ModelSize. 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.
ModelVersionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
ModelVersionsGetResponse	Contains response data for the get operation.
ModelVersionsListNextResponse	Contains response data for the listNext operation.
ModelVersionsListResponse	Contains response data for the list operation.
MountAction	Defines values for MountAction. 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
MountState	Defines values for MountState. 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	Defines values for NCrossValidationsMode. 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
Network	Defines values for Network. 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	Defines values for NodeState. 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
ObjectDetectionPrimaryMetrics	Defines values for ObjectDetectionPrimaryMetrics. 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.
OnlineDeploymentPropertiesUnion
OnlineDeploymentsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
OnlineDeploymentsGetLogsResponse	Contains response data for the getLogs operation.
OnlineDeploymentsGetResponse	Contains response data for the get operation.
OnlineDeploymentsListNextResponse	Contains response data for the listNext operation.
OnlineDeploymentsListResponse	Contains response data for the list operation.
OnlineDeploymentsListSkusNextResponse	Contains response data for the listSkusNext operation.
OnlineDeploymentsListSkusResponse	Contains response data for the listSkus operation.
OnlineDeploymentsUpdateResponse	Contains response data for the update operation.
OnlineEndpointsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
OnlineEndpointsGetResponse	Contains response data for the get operation.
OnlineEndpointsGetTokenResponse	Contains response data for the getToken operation.
OnlineEndpointsListKeysResponse	Contains response data for the listKeys operation.
OnlineEndpointsListNextResponse	Contains response data for the listNext operation.
OnlineEndpointsListResponse	Contains response data for the list operation.
OnlineEndpointsUpdateResponse	Contains response data for the update operation.
OnlineScaleSettingsUnion
OperatingSystemType	Defines values for OperatingSystemType. 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	Defines values for OperationName. 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 Reimage Delete
OperationStatus	Defines values for OperationStatus. 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 ReimageFailed DeleteFailed
OperationTrigger	Defines values for OperationTrigger. 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
OperationsListResponse	Contains response data for the list operation.
OrderString	Defines values for OrderString. KnownOrderString can be used interchangeably with OrderString, this enum contains the known values that the service supports. Known values supported by the service CreatedAtDesc CreatedAtAsc UpdatedAtDesc UpdatedAtAsc
OsType	Defines values for OsType. 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
OutputDeliveryMode	Defines values for OutputDeliveryMode. 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
PrivateEndpointConnectionProvisioningState	Defines values for PrivateEndpointConnectionProvisioningState. 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
PrivateEndpointConnectionsCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
PrivateEndpointConnectionsGetResponse	Contains response data for the get operation.
PrivateEndpointConnectionsListResponse	Contains response data for the list operation.
PrivateEndpointServiceConnectionStatus	Defines values for PrivateEndpointServiceConnectionStatus. KnownPrivateEndpointServiceConnectionStatus can be used interchangeably with PrivateEndpointServiceConnectionStatus, this enum contains the known values that the service supports. Known values supported by the service Pending Approved Rejected Disconnected Timeout
PrivateLinkResourcesListResponse	Contains response data for the list operation.
ProvisioningState	Defines values for ProvisioningState. 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	Defines values for ProvisioningStatus. 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	Defines values for PublicNetworkAccess. 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
PublicNetworkAccessType	Defines values for PublicNetworkAccessType. KnownPublicNetworkAccessType can be used interchangeably with PublicNetworkAccessType, this enum contains the known values that the service supports. Known values supported by the service Enabled Disabled
QuotaUnit	Defines values for QuotaUnit. KnownQuotaUnit can be used interchangeably with QuotaUnit, this enum contains the known values that the service supports. Known values supported by the service Count
QuotasListNextResponse	Contains response data for the listNext operation.
QuotasListResponse	Contains response data for the list operation.
QuotasUpdateResponse	Contains response data for the update operation.
RandomSamplingAlgorithmRule	Defines values for RandomSamplingAlgorithmRule. 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	Defines values for RecurrenceFrequency. 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	Defines values for ReferenceType. 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	Defines values for RegressionModels. 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	Defines values for RegressionPrimaryMetrics. 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	Defines values for RemoteLoginPortPublicAccess. 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
SamplingAlgorithmType	Defines values for SamplingAlgorithmType. KnownSamplingAlgorithmType can be used interchangeably with SamplingAlgorithmType, this enum contains the known values that the service supports. Known values supported by the service Grid Random Bayesian
SamplingAlgorithmUnion
ScaleType	Defines values for ScaleType. KnownScaleType can be used interchangeably with ScaleType, this enum contains the known values that the service supports. Known values supported by the service Default TargetUtilization
ScheduleActionBaseUnion
ScheduleActionType	Defines values for ScheduleActionType. KnownScheduleActionType can be used interchangeably with ScheduleActionType, this enum contains the known values that the service supports. Known values supported by the service CreateJob InvokeBatchEndpoint
ScheduleListViewType	Defines values for ScheduleListViewType. KnownScheduleListViewType can be used interchangeably with ScheduleListViewType, this enum contains the known values that the service supports. Known values supported by the service EnabledOnly DisabledOnly All
ScheduleProvisioningState	Defines values for ScheduleProvisioningState. 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	Defines values for ScheduleProvisioningStatus. KnownScheduleProvisioningStatus can be used interchangeably with ScheduleProvisioningStatus, this enum contains the known values that the service supports. Known values supported by the service Creating Updating Deleting Succeeded Failed Canceled
ScheduleStatus	Defines values for ScheduleStatus. 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
SchedulesCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
SchedulesGetResponse	Contains response data for the get operation.
SchedulesListNextResponse	Contains response data for the listNext operation.
SchedulesListResponse	Contains response data for the list operation.
SeasonalityMode	Defines values for SeasonalityMode. 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
SecretsType	Defines values for SecretsType. 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
ServiceDataAccessAuthIdentity	Defines values for ServiceDataAccessAuthIdentity. KnownServiceDataAccessAuthIdentity can be used interchangeably with ServiceDataAccessAuthIdentity, this enum contains the known values that the service supports. Known values supported by the service None: Do not use any identity for service data access. WorkspaceSystemAssignedIdentity: Use the system assigned managed identity of the Workspace to authenticate service data access. WorkspaceUserAssignedIdentity: Use the user assigned managed identity of the Workspace to authenticate service data access.
ShortSeriesHandlingConfiguration	Defines values for ShortSeriesHandlingConfiguration. 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	Defines values for SkuScaleType. 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	Defines values for SkuTier.
SourceType	Defines values for SourceType. 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
SshPublicAccess	Defines values for SshPublicAccess. 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	Defines values for SslConfigStatus. 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	Defines values for StackMetaLearnerType. 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	Defines values for Status. 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	Defines values for StochasticOptimizer. 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	Defines values for StorageAccountType. 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
TargetAggregationFunction	Defines values for TargetAggregationFunction. 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	Defines values for TargetLagsMode. 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
TargetRollingWindowSizeMode	Defines values for TargetRollingWindowSizeMode. 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
TaskType	Defines values for TaskType. 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
TriggerType	Defines values for TriggerType. KnownTriggerType can be used interchangeably with TriggerType, this enum contains the known values that the service supports. Known values supported by the service Recurrence Cron
UnderlyingResourceAction	Defines values for UnderlyingResourceAction. KnownUnderlyingResourceAction can be used interchangeably with UnderlyingResourceAction, this enum contains the known values that the service supports. Known values supported by the service Delete Detach
UnitOfMeasure	Defines values for UnitOfMeasure. 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	Defines values for UsageUnit. KnownUsageUnit can be used interchangeably with UsageUnit, this enum contains the known values that the service supports. Known values supported by the service Count
UsagesListNextResponse	Contains response data for the listNext operation.
UsagesListResponse	Contains response data for the list operation.
UseStl	Defines values for UseStl. 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	Defines values for VMPriceOSType. 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	Defines values for VMTier. 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	Defines values for ValidationMetricType. 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.
ValueFormat	Defines values for ValueFormat. KnownValueFormat can be used interchangeably with ValueFormat, this enum contains the known values that the service supports. Known values supported by the service JSON
VirtualMachineSizesListResponse	Contains response data for the list operation.
VmPriority	Defines values for VmPriority. 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
WeekDay	Defines values for 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
WorkspaceConnectionsCreateResponse	Contains response data for the create operation.
WorkspaceConnectionsGetResponse	Contains response data for the get operation.
WorkspaceConnectionsListNextResponse	Contains response data for the listNext operation.
WorkspaceConnectionsListResponse	Contains response data for the list operation.
WorkspaceFeaturesListNextResponse	Contains response data for the listNext operation.
WorkspaceFeaturesListResponse	Contains response data for the list operation.
WorkspacesCreateOrUpdateResponse	Contains response data for the createOrUpdate operation.
WorkspacesDiagnoseResponse	Contains response data for the diagnose operation.
WorkspacesGetResponse	Contains response data for the get operation.
WorkspacesListByResourceGroupNextResponse	Contains response data for the listByResourceGroupNext operation.
WorkspacesListByResourceGroupResponse	Contains response data for the listByResourceGroup operation.
WorkspacesListBySubscriptionNextResponse	Contains response data for the listBySubscriptionNext operation.
WorkspacesListBySubscriptionResponse	Contains response data for the listBySubscription operation.
WorkspacesListKeysResponse	Contains response data for the listKeys operation.
WorkspacesListNotebookAccessTokenResponse	Contains response data for the listNotebookAccessToken operation.
WorkspacesListNotebookKeysResponse	Contains response data for the listNotebookKeys operation.
WorkspacesListOutboundNetworkDependenciesEndpointsResponse	Contains response data for the listOutboundNetworkDependenciesEndpoints operation.
WorkspacesListStorageAccountKeysResponse	Contains response data for the listStorageAccountKeys operation.
WorkspacesPrepareNotebookResponse	Contains response data for the prepareNotebook operation.
WorkspacesUpdateResponse	Contains response data for the update operation.

Enums

KnownAllocationState	Known values of AllocationState that the service accepts.
KnownApplicationSharingPolicy	Known values of ApplicationSharingPolicy that the service accepts.
KnownAutoRebuildSetting	Known values of AutoRebuildSetting that the service accepts.
KnownAutosave	Known values of Autosave that the service accepts.
KnownBatchLoggingLevel	Known values of BatchLoggingLevel that the service accepts.
KnownBatchOutputAction	Known values of BatchOutputAction that the service accepts.
KnownBillingCurrency	Known values of BillingCurrency that the service accepts.
KnownBlockedTransformers	Known values of BlockedTransformers that the service accepts.
KnownCaching	Known values of Caching that the service accepts.
KnownClassificationModels	Known values of ClassificationModels that the service accepts.
KnownClassificationMultilabelPrimaryMetrics	Known values of ClassificationMultilabelPrimaryMetrics that the service accepts.
KnownClassificationPrimaryMetrics	Known values of ClassificationPrimaryMetrics that the service accepts.
KnownClusterPurpose	Known values of ClusterPurpose that the service accepts.
KnownComputeInstanceAuthorizationType	Known values of ComputeInstanceAuthorizationType that the service accepts.
KnownComputeInstanceState	Known values of ComputeInstanceState that the service accepts.
KnownComputePowerAction	Known values of ComputePowerAction that the service accepts.
KnownComputeType	Known values of ComputeType that the service accepts.
KnownConnectionAuthType	Known values of ConnectionAuthType that the service accepts.
KnownConnectionCategory	Known values of ConnectionCategory that the service accepts.
KnownContainerType	Known values of ContainerType that the service accepts.
KnownCreatedByType	Known values of CreatedByType that the service accepts.
KnownCredentialsType	Known values of CredentialsType that the service accepts.
KnownDataType	Known values of DataType that the service accepts.
KnownDatastoreType	Known values of DatastoreType that the service accepts.
KnownDeploymentProvisioningState	Known values of DeploymentProvisioningState that the service accepts.
KnownDiagnoseResultLevel	Known values of DiagnoseResultLevel that the service accepts.
KnownDistributionType	Known values of DistributionType that the service accepts.
KnownEarlyTerminationPolicyType	Known values of EarlyTerminationPolicyType that the service accepts.
KnownEgressPublicNetworkAccessType	Known values of EgressPublicNetworkAccessType that the service accepts.
KnownEncryptionStatus	Known values of EncryptionStatus that the service accepts.
KnownEndpointAuthMode	Known values of EndpointAuthMode that the service accepts.
KnownEndpointComputeType	Known values of EndpointComputeType that the service accepts.
KnownEndpointProvisioningState	Known values of EndpointProvisioningState that the service accepts.
KnownEnvironmentType	Known values of EnvironmentType that the service accepts.
KnownFeatureLags	Known values of FeatureLags that the service accepts.
KnownFeaturizationMode	Known values of FeaturizationMode that the service accepts.
KnownForecastHorizonMode	Known values of ForecastHorizonMode that the service accepts.
KnownForecastingModels	Known values of ForecastingModels that the service accepts.
KnownForecastingPrimaryMetrics	Known values of ForecastingPrimaryMetrics that the service accepts.
KnownGoal	Known values of Goal that the service accepts.
KnownIdentityConfigurationType	Known values of IdentityConfigurationType that the service accepts.
KnownInputDeliveryMode	Known values of InputDeliveryMode that the service accepts.
KnownInstanceSegmentationPrimaryMetrics	Known values of InstanceSegmentationPrimaryMetrics that the service accepts.
KnownJobInputType	Known values of JobInputType that the service accepts.
KnownJobLimitsType	Known values of JobLimitsType that the service accepts.
KnownJobOutputType	Known values of JobOutputType that the service accepts.
KnownJobStatus	Known values of JobStatus that the service accepts.
KnownJobType	Known values of JobType that the service accepts.
KnownKeyType	Known values of KeyType that the service accepts.
KnownLearningRateScheduler	Known values of LearningRateScheduler that the service accepts.
KnownListViewType	Known values of ListViewType that the service accepts.
KnownLoadBalancerType	Known values of LoadBalancerType that the service accepts.
KnownLogVerbosity	Known values of LogVerbosity that the service accepts.
KnownManagedServiceIdentityType	Known values of ManagedServiceIdentityType that the service accepts.
KnownModelSize	Known values of ModelSize that the service accepts.
KnownMountAction	Known values of MountAction that the service accepts.
KnownMountState	Known values of MountState that the service accepts.
KnownNCrossValidationsMode	Known values of NCrossValidationsMode that the service accepts.
KnownNetwork	Known values of Network that the service accepts.
KnownNodeState	Known values of NodeState that the service accepts.
KnownObjectDetectionPrimaryMetrics	Known values of ObjectDetectionPrimaryMetrics that the service accepts.
KnownOperatingSystemType	Known values of OperatingSystemType that the service accepts.
KnownOperationName	Known values of OperationName that the service accepts.
KnownOperationStatus	Known values of OperationStatus that the service accepts.
KnownOperationTrigger	Known values of OperationTrigger that the service accepts.
KnownOrderString	Known values of OrderString that the service accepts.
KnownOsType	Known values of OsType that the service accepts.
KnownOutputDeliveryMode	Known values of OutputDeliveryMode that the service accepts.
KnownPrivateEndpointConnectionProvisioningState	Known values of PrivateEndpointConnectionProvisioningState that the service accepts.
KnownPrivateEndpointServiceConnectionStatus	Known values of PrivateEndpointServiceConnectionStatus that the service accepts.
KnownProvisioningState	Known values of ProvisioningState that the service accepts.
KnownProvisioningStatus	Known values of ProvisioningStatus that the service accepts.
KnownPublicNetworkAccess	Known values of PublicNetworkAccess that the service accepts.
KnownPublicNetworkAccessType	Known values of PublicNetworkAccessType that the service accepts.
KnownQuotaUnit	Known values of QuotaUnit that the service accepts.
KnownRandomSamplingAlgorithmRule	Known values of RandomSamplingAlgorithmRule that the service accepts.
KnownRecurrenceFrequency	Known values of RecurrenceFrequency that the service accepts.
KnownReferenceType	Known values of ReferenceType that the service accepts.
KnownRegressionModels	Known values of RegressionModels that the service accepts.
KnownRegressionPrimaryMetrics	Known values of RegressionPrimaryMetrics that the service accepts.
KnownRemoteLoginPortPublicAccess	Known values of RemoteLoginPortPublicAccess that the service accepts.
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	Known values of ScheduleProvisioningState that the service accepts.
KnownScheduleProvisioningStatus	Known values of ScheduleProvisioningStatus that the service accepts.
KnownScheduleStatus	Known values of ScheduleStatus that the service accepts.
KnownSeasonalityMode	Known values of SeasonalityMode that the service accepts.
KnownSecretsType	Known values of SecretsType that the service accepts.
KnownServiceDataAccessAuthIdentity	Known values of ServiceDataAccessAuthIdentity that the service accepts.
KnownShortSeriesHandlingConfiguration	Known values of ShortSeriesHandlingConfiguration that the service accepts.
KnownSkuScaleType	Known values of SkuScaleType that the service accepts.
KnownSourceType	Known values of SourceType that the service accepts.
KnownSshPublicAccess	Known values of SshPublicAccess that the service accepts.
KnownSslConfigStatus	Known values of SslConfigStatus that the service accepts.
KnownStackMetaLearnerType	Known values of StackMetaLearnerType that the service accepts.
KnownStatus	Known values of Status that the service accepts.
KnownStochasticOptimizer	Known values of StochasticOptimizer that the service accepts.
KnownStorageAccountType	Known values of StorageAccountType that the service accepts.
KnownTargetAggregationFunction	Known values of TargetAggregationFunction that the service accepts.
KnownTargetLagsMode	Known values of TargetLagsMode that the service accepts.
KnownTargetRollingWindowSizeMode	Known values of TargetRollingWindowSizeMode that the service accepts.
KnownTaskType	Known values of TaskType that the service accepts.
KnownTriggerType	Known values of TriggerType that the service accepts.
KnownUnderlyingResourceAction	Known values of UnderlyingResourceAction that the service accepts.
KnownUnitOfMeasure	Known values of UnitOfMeasure that the service accepts.
KnownUsageUnit	Known values of UsageUnit that the service accepts.
KnownUseStl	Known values of UseStl that the service accepts.
KnownVMPriceOSType	Known values of VMPriceOSType that the service accepts.
KnownVMTier	Known values of VMTier that the service accepts.
KnownValidationMetricType	Known values of ValidationMetricType that the service accepts.
KnownValueFormat	Known values of ValueFormat that the service accepts.
KnownVmPriority	Known values of VmPriority that the service accepts.
KnownWeekDay	Known values of WeekDay that the service accepts.

Functions

getContinuationToken(unknown)

Given a result page from a pageable operation, returns a continuation token that can be used to begin paging from that point later.

Function Details

getContinuationToken(unknown)

Given a result page from a pageable operation, returns a continuation token that can be used to begin paging from that point later.

function getContinuationToken(page: unknown): string | undefined

Parameters

page

unknown

A result object from calling .byPage() on a paged operation.

Returns

string | undefined

The continuation token that can be passed into byPage().