Azure.ResourceManager.MachineLearning.Models Namespace

Classes

AadAuthTypeWorkspaceConnectionProperties	This connection type covers the AAD auth for any applicable Azure service.
AccessKeyAuthTypeWorkspaceConnectionProperties	The AccessKeyAuthTypeWorkspaceConnectionProperties.
AccountKeyAuthTypeWorkspaceConnectionProperties	This connection type covers the account key connection for Azure storage.
AmlCompute	An Azure Machine Learning compute.
AmlComputeNodeInformation	Compute node information related to a AmlCompute.
AmlComputeProperties	AML Compute properties.
AmlComputeScaleSettings	scale settings for AML Compute.
AmlToken	AML Token identity configuration.
AmlTokenComputeIdentity	AML token compute identity definition.
AnonymousAccessCredential	Access credential with no credentials.
ApiKeyAuthWorkspaceConnectionProperties	This connection type covers the generic ApiKey auth connection categories, for examples: AzureOpenAI: Category:= AzureOpenAI AuthType:= ApiKey (as type discriminator) Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {ApiBase} CognitiveService: Category:= CognitiveService AuthType:= ApiKey (as type discriminator) Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= ServiceRegion={serviceRegion} CognitiveSearch: Category:= CognitiveSearch AuthType:= ApiKey (as type discriminator) Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {Endpoint} Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields
ArmMachineLearningModelFactory	Model factory for models.
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 Please note AutoMLVertical is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include ClassificationTask, MachineLearningForecasting, ImageClassification, ImageClassificationMultilabel, ImageInstanceSegmentation, ImageObjectDetection, AutoMLVerticalRegression, TextClassification, TextClassificationMultilabel and TextNer.
AutoMLVerticalRegression	Regression task in AutoML Table vertical.
AutoNCrossValidations	N-Cross validations determined automatically.
AutoSeasonality	The AutoSeasonality.
AutoTargetLags	The AutoTargetLags.
AutoTargetRollingWindowSize	Target lags rolling window determined automatically.
AzureDevOpsWebhook	Webhook details specific for Azure DevOps.
BanditPolicy	Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.
BatchDeploymentConfiguration	Properties relevant to different deployment types. Please note BatchDeploymentConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BatchPipelineComponentDeploymentConfiguration.
BatchPipelineComponentDeploymentConfiguration	Properties for a Batch Pipeline Component Deployment.
BayesianSamplingAlgorithm	Defines a Sampling Algorithm that generates values based on previous values.
BlobReferenceForConsumptionDto	The BlobReferenceForConsumptionDto.
BlobReferenceSasContent	BlobReferenceSASRequest for getBlobReferenceSAS API.
BlobReferenceSasResult	BlobReferenceSASResponse for getBlobReferenceSAS API.
CategoricalDataDriftMetricThreshold	The CategoricalDataDriftMetricThreshold.
CategoricalDataQualityMetricThreshold	The CategoricalDataQualityMetricThreshold.
CategoricalPredictionDriftMetricThreshold	The CategoricalPredictionDriftMetricThreshold.
ClassificationTask	Classification task in AutoML Table vertical.
ClassificationTrainingSettings	Classification Training related configuration.
ColumnTransformer	Column transformer parameters.
ComputeStartStopCronSchedule	The workflow trigger cron for ComputeStartStop schedule type.
ComputeStartStopRecurrenceSchedule	The workflow trigger recurrence for ComputeStartStop schedule type.
ContainerEndpoint	Describes the endpoint configuration for the container.
CreateMonitorAction	The CreateMonitorAction.
CronTrigger	The CronTrigger.
CustomForecastHorizon	The desired maximum forecast horizon in units of time-series frequency.
CustomKeysWorkspaceConnectionProperties	Category:= CustomKeys AuthType:= CustomKeys (as type discriminator) Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys Target:= {any value} Use Metadata property bag for ApiVersion and other metadata fields
CustomMetricThreshold	The CustomMetricThreshold.
CustomMonitoringSignal	The CustomMonitoringSignal.
CustomNCrossValidations	N-Cross validations are specified by user.
CustomSeasonality	The CustomSeasonality.
CustomService	Specifies the custom service configuration.
CustomTargetLags	The CustomTargetLags.
CustomTargetRollingWindowSize	The CustomTargetRollingWindowSize.
DataCollectionConfiguration	The DataCollectionConfiguration.
DataCollector	The DataCollector.
DataDriftMetricThresholdBase	Please note DataDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalDataDriftMetricThreshold and NumericalDataDriftMetricThreshold.
DataDriftMonitoringSignal	The DataDriftMonitoringSignal.
DataQualityMetricThresholdBase	Please note DataQualityMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalDataQualityMetricThreshold and NumericalDataQualityMetricThreshold.
DataQualityMonitoringSignal	The DataQualityMonitoringSignal.
DataReferenceCredential	DataReferenceCredential base class Please note DataReferenceCredential is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include DockerCredential, ManagedIdentityCredential, AnonymousAccessCredential and SasCredential.
DestinationAssetContent	Publishing destination registry asset information.
DockerCredential	Credential for docker with username and password.
DockerSetting	Docker container configuration.
EncryptionKeyVaultUpdateProperties	The EncryptionKeyVaultUpdateProperties.
EncryptionUpdateProperties	The EncryptionUpdateProperties.
EnvironmentVariable	Environment Variables for the container.
FeatureAttributionDriftMonitoringSignal	The FeatureAttributionDriftMonitoringSignal.
FeatureAttributionMetricThreshold	The FeatureAttributionMetricThreshold.
FeatureImportanceSettings	The FeatureImportanceSettings.
FeatureSetVersionBackfillContent	Request payload for creating a backfill request for a given feature set version.
FeaturesetVersionBackfillResponse	Response payload for creating a backfill request for a given feature set version.
FeatureStoreSettings	Settings for feature store type workspace.
FeatureSubset	The FeatureSubset.
FeatureWindow	Specifies the feature window.
FixedInputData	Fixed input data definition.
ForecastHorizon	The desired maximum forecast horizon in units of time-series frequency. Please note ForecastHorizon is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoForecastHorizon and CustomForecastHorizon.
ForecastingSeasonality	Forecasting seasonality. Please note ForecastingSeasonality is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoSeasonality and CustomSeasonality.
ForecastingSettings	Forecasting specific parameters.
ForecastingTrainingSettings	Forecasting Training related configuration.
FqdnOutboundRule	FQDN Outbound Rule for the managed network of a machine learning workspace.
GetBlobReferenceForConsumptionDto	The GetBlobReferenceForConsumptionDto.
GridSamplingAlgorithm	Defines a Sampling Algorithm that exhaustively generates every value combination in the space.
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'.
ImageInstanceSegmentation	Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level, drawing a polygon around each object in the image.
ImageLimitSettings	Limit settings for the AutoML job.
ImageMetadata	Returns metadata about the operating system image for this compute instance.
ImageModelDistributionSettings	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```&lt;/example&gt; All distributions can be specified as distribution_name(min, max) or choice(val1, val2, ..., valn) where distribution name can be: uniform, quniform, loguniform, etc For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
ImageModelDistributionSettingsClassification	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```&lt;/example&gt; For more details on how to compose distribution expressions please check the documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.
ImageModelDistributionSettingsObjectDetection	Distribution expressions to sweep over values of model settings. <example> Some examples are: ModelName = "choice('seresnext', 'resnest50')"; LearningRate = "uniform(0.001, 0.01)"; LayersToFreeze = "choice(0, 2)"; ```&lt;/example&gt; 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.
ImageSetting	Describes the Image Specifications.
ImageSweepSettings	Model sweeping and hyperparameter sweeping related settings.
IndexColumn	DTO object representing index column.
JobAllNodes	All nodes means the service will be running on all of the nodes of the job.
JobNodes	Abstract Nodes definition Please note JobNodes is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include JobAllNodes.
LakeHouseArtifact	The LakeHouseArtifact.
MachineLearningAccountKeyDatastoreCredentials	Account key datastore credentials configuration.
MachineLearningAccountKeyDatastoreSecrets	Datastore account key secrets.
MachineLearningAksCompute	A Machine Learning compute based on AKS.
MachineLearningAksComputeProperties	AKS properties.
MachineLearningAksComputeSecrets	Secrets related to a Machine Learning compute based on AKS.
MachineLearningAksNetworkingConfiguration	Advance configuration for AKS networking.
MachineLearningAllFeatures	The MachineLearningAllFeatures.
MachineLearningAssetBase	The MachineLearningAssetBase.
MachineLearningAssetContainer	The MachineLearningAssetContainer.
MachineLearningAssetReferenceBase	Base definition for asset references. Please note MachineLearningAssetReferenceBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningDataPathAssetReference, MachineLearningIdAssetReference and MachineLearningOutputPathAssetReference.
MachineLearningAutoPauseProperties	Auto pause properties.
MachineLearningAutoScaleProperties	Auto scale properties.
MachineLearningAzureBlobDatastore	Azure Blob datastore configuration.
MachineLearningAzureDataLakeGen1Datastore	Azure Data Lake Gen1 datastore configuration.
MachineLearningAzureDataLakeGen2Datastore	Azure Data Lake Gen2 datastore configuration.
MachineLearningAzureFileDatastore	Azure File datastore configuration.
MachineLearningBatchDeploymentPatch	Strictly used in update requests.
MachineLearningBatchDeploymentProperties	Batch inference settings per deployment.
MachineLearningBatchEndpointProperties	Batch endpoint configuration.
MachineLearningBatchRetrySettings	Retry settings for a batch inference operation.
MachineLearningBuildContext	Configuration settings for Docker build context.
MachineLearningCertificateDatastoreCredentials	Certificate datastore credentials configuration.
MachineLearningCertificateDatastoreSecrets	Datastore certificate secrets.
MachineLearningCodeConfiguration	Configuration for a scoring code asset.
MachineLearningCodeContainerProperties	Container for code asset versions.
MachineLearningCodeVersionProperties	Code asset version details.
MachineLearningCommandJob	Command job definition.
MachineLearningCommandJobLimits	Command Job limit class.
MachineLearningComponentContainerProperties	Component container definition. <see href="https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command" />
MachineLearningComponentVersionProperties	Definition of a component version: defines resources that span component types.
MachineLearningComputeInstance	An Azure Machine Learning compute instance.
MachineLearningComputeInstanceApplication	Defines an Aml Instance application and its connectivity endpoint URI.
MachineLearningComputeInstanceAssignedUser	A user that can be assigned to a compute instance.
MachineLearningComputeInstanceConnectivityEndpoints	Defines all connectivity endpoints and properties for an ComputeInstance.
MachineLearningComputeInstanceContainer	Defines an Aml Instance container.
MachineLearningComputeInstanceCreatedBy	Describes information on user who created this ComputeInstance.
MachineLearningComputeInstanceDataDisk	Defines an Aml Instance DataDisk.
MachineLearningComputeInstanceDataMount	Defines an Aml Instance DataMount.
MachineLearningComputeInstanceEnvironmentInfo	Environment information.
MachineLearningComputeInstanceLastOperation	The last operation on ComputeInstance.
MachineLearningComputeInstanceProperties	Compute Instance properties.
MachineLearningComputeInstanceSshSettings	Specifies policy and settings for SSH access.
MachineLearningComputePatch	AmlCompute update parameters.
MachineLearningComputeProperties	Machine Learning compute object. Please note MachineLearningComputeProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAksCompute, AmlCompute, MachineLearningComputeInstance, MachineLearningDatabricksCompute, MachineLearningDataFactoryCompute, MachineLearningDataLakeAnalytics, MachineLearningHDInsightCompute, MachineLearningKubernetesCompute, MachineLearningSynapseSpark and MachineLearningVirtualMachineCompute.
MachineLearningComputeRecurrenceSchedule	The MachineLearningComputeRecurrenceSchedule.
MachineLearningComputeSecrets	Secrets related to a Machine Learning compute. Might differ for every type of compute. Please note MachineLearningComputeSecrets is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAksComputeSecrets, MachineLearningDatabricksComputeSecrets and MachineLearningVirtualMachineSecrets.
MachineLearningComputeStartStopSchedule	Compute start stop schedule properties.
MachineLearningComputeSystemService	A system service running on a compute.
MachineLearningContainerRegistryCredentials	The MachineLearningContainerRegistryCredentials.
MachineLearningContainerResourceRequirements	Resource requirements for each container instance within an online deployment.
MachineLearningContainerResourceSettings	The MachineLearningContainerResourceSettings.
MachineLearningCustomModelJobInput	The MachineLearningCustomModelJobInput.
MachineLearningCustomModelJobOutput	The MachineLearningCustomModelJobOutput.
MachineLearningDatabricksCompute	A DataFactory compute.
MachineLearningDatabricksComputeSecrets	Secrets related to a Machine Learning compute based on Databricks.
MachineLearningDatabricksProperties	Properties of Databricks.
MachineLearningDataContainerProperties	Container for data asset versions.
MachineLearningDataFactoryCompute	A DataFactory compute.
MachineLearningDataLakeAnalytics	A DataLakeAnalytics compute.
MachineLearningDataPathAssetReference	Reference to an asset via its path in a datastore.
MachineLearningDatastoreCollectionGetAllOptions	The MachineLearningDatastoreCollectionGetAllOptions.
MachineLearningDatastoreCredentials	Base definition for datastore credentials. Please note MachineLearningDatastoreCredentials is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAccountKeyDatastoreCredentials, MachineLearningCertificateDatastoreCredentials, MachineLearningNoneDatastoreCredentials, MachineLearningSasDatastoreCredentials and MachineLearningServicePrincipalDatastoreCredentials.
MachineLearningDatastoreProperties	Base definition for datastore contents configuration. Please note MachineLearningDatastoreProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAzureBlobDatastore, MachineLearningAzureDataLakeGen1Datastore, MachineLearningAzureDataLakeGen2Datastore, MachineLearningAzureFileDatastore and OneLakeDatastore.
MachineLearningDatastoreSecrets	Base definition for datastore secrets. Please note MachineLearningDatastoreSecrets is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAccountKeyDatastoreSecrets, MachineLearningCertificateDatastoreSecrets, MachineLearningSasDatastoreSecrets and MachineLearningServicePrincipalDatastoreSecrets.
MachineLearningDataVersionProperties	Data version base definition Please note MachineLearningDataVersionProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningTable, MachineLearningUriFileDataVersion and MachineLearningUriFolderDataVersion.
MachineLearningDefaultScaleSettings	The MachineLearningDefaultScaleSettings.
MachineLearningDeploymentLogs	The MachineLearningDeploymentLogs.
MachineLearningDeploymentLogsContent	The MachineLearningDeploymentLogsContent.
MachineLearningDeploymentResourceConfiguration	The MachineLearningDeploymentResourceConfiguration.
MachineLearningDiagnoseResult	Result of Diagnose.
MachineLearningDiagnoseResultValue	The MachineLearningDiagnoseResultValue.
MachineLearningDistributionConfiguration	Base definition for job distribution configuration. Please note MachineLearningDistributionConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MpiDistributionConfiguration, PyTorchDistributionConfiguration and TensorFlowDistributionConfiguration.
MachineLearningEarlyTerminationPolicy	Early termination policies enable canceling poor-performing runs before they complete Please note MachineLearningEarlyTerminationPolicy is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BanditPolicy, MedianStoppingPolicy and TruncationSelectionPolicy.
MachineLearningEncryptionKeyVaultProperties	The MachineLearningEncryptionKeyVaultProperties.
MachineLearningEncryptionSetting	The MachineLearningEncryptionSetting.
MachineLearningEndpointAuthKeys	Keys for endpoint authentication.
MachineLearningEndpointAuthToken	Service Token.
MachineLearningEndpointDeploymentProperties	Base definition for endpoint deployment.
MachineLearningEndpointKeyRegenerateContent	The MachineLearningEndpointKeyRegenerateContent.
MachineLearningEndpointProperties	Inference Endpoint base definition.
MachineLearningEndpointScheduleAction	The MachineLearningEndpointScheduleAction.
MachineLearningEnvironmentContainerProperties	Container for environment specification versions.
MachineLearningEnvironmentVersionProperties	Environment version details.
MachineLearningError	Common error response for all Azure Resource Manager APIs to return error details for failed operations. (This also follows the OData error response format.).
MachineLearningEstimatedVmPrice	The estimated price info for using a VM of a particular OS type, tier, etc.
MachineLearningEstimatedVmPrices	The estimated price info for using a VM.
MachineLearningFeatureCollectionGetAllOptions	The MachineLearningFeatureCollectionGetAllOptions.
MachineLearningFeatureProperties	DTO object representing feature.
MachineLearningFeatureSetContainerCollectionGetAllOptions	The MachineLearningFeatureSetContainerCollectionGetAllOptions.
MachineLearningFeatureSetContainerProperties	DTO object representing feature set.
MachineLearningFeatureSetVersionCollectionGetAllOptions	The MachineLearningFeatureSetVersionCollectionGetAllOptions.
MachineLearningFeatureSetVersionProperties	DTO object representing feature set version.
MachineLearningFeatureStoreEntityContainerCollectionGetAllOptions	The MachineLearningFeatureStoreEntityContainerCollectionGetAllOptions.
MachineLearningFeatureStoreEntityContainerProperties	DTO object representing feature entity.
MachineLearningFeaturestoreEntityVersionCollectionGetAllOptions	The MachineLearningFeaturestoreEntityVersionCollectionGetAllOptions.
MachineLearningFeatureStoreEntityVersionProperties	DTO object representing feature entity version.
MachineLearningFeaturizationSettings	Featurization Configuration.
MachineLearningFlavorData	The MachineLearningFlavorData.
MachineLearningFlowModelJobInput	The MachineLearningFlowModelJobInput.
MachineLearningFlowModelJobOutput	The MachineLearningFlowModelJobOutput.
MachineLearningForecasting	Forecasting task in AutoML Table vertical.
MachineLearningFqdnEndpoint	The MachineLearningFqdnEndpoint.
MachineLearningFqdnEndpointDetail	The MachineLearningFqdnEndpointDetail.
MachineLearningFqdnEndpoints	The MachineLearningFqdnEndpoints.
MachineLearningFqdnEndpointsProperties	The MachineLearningFqdnEndpointsProperties.
MachineLearningHDInsightCompute	A HDInsight compute.
MachineLearningHDInsightProperties	HDInsight compute properties.
MachineLearningIdAssetReference	Reference to an asset via its ARM resource ID.
MachineLearningIdentityConfiguration	Base definition for identity configuration. Please note MachineLearningIdentityConfiguration is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AmlToken, MachineLearningManagedIdentity and MachineLearningUserIdentity.
MachineLearningInferenceContainerProperties	The MachineLearningInferenceContainerProperties.
MachineLearningInferenceContainerRoute	The MachineLearningInferenceContainerRoute.
MachineLearningInstanceTypeSchema	Instance type schema.
MachineLearningInstanceTypeSchemaResources	Resource requests/limits for this instance type.
MachineLearningJobInput	Command job definition. Please note MachineLearningJobInput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobInput, MachineLearningLiteralJobInput, MachineLearningFlowModelJobInput, MachineLearningTableJobInput, MachineLearningTritonModelJobInput, MachineLearningUriFileJobInput and MachineLearningUriFolderJobInput.
MachineLearningJobLimits	Please note MachineLearningJobLimits is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCommandJobLimits and MachineLearningSweepJobLimits.
MachineLearningJobOutput	Job output definition container information on where to find job output/logs. Please note MachineLearningJobOutput is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningCustomModelJobOutput, MachineLearningFlowModelJobOutput, MachineLearningTableJobOutput, MachineLearningTritonModelJobOutput, MachineLearningUriFileJobOutput and MachineLearningUriFolderJobOutput.
MachineLearningJobProperties	Base definition for a job. Please note MachineLearningJobProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoMLJob, MachineLearningCommandJob, MachineLearningPipelineJob, SparkJob and MachineLearningSweepJob.
MachineLearningJobResourceConfiguration	The MachineLearningJobResourceConfiguration.
MachineLearningJobScheduleAction	The MachineLearningJobScheduleAction.
MachineLearningJobService	Job endpoint definition.
MachineLearningKubernetesCompute	A Machine Learning compute based on Kubernetes Compute.
MachineLearningKubernetesOnlineDeployment	Properties specific to a KubernetesOnlineDeployment.
MachineLearningKubernetesProperties	Kubernetes properties.
MachineLearningLiteralJobInput	Literal input type.
MachineLearningManagedIdentity	Managed identity configuration.
MachineLearningManagedIdentityAuthTypeWorkspaceConnection	The MachineLearningManagedIdentityAuthTypeWorkspaceConnection.
MachineLearningManagedOnlineDeployment	Properties specific to a ManagedOnlineDeployment.
MachineLearningMarketplacePlan	The MachineLearningMarketplacePlan.
MachineLearningMarketplaceSubscriptionProperties	The MachineLearningMarketplaceSubscriptionProperties.
MachineLearningModelContainerProperties	The MachineLearningModelContainerProperties.
MachineLearningModelVersionCollectionGetAllOptions	The MachineLearningModelVersionCollectionGetAllOptions.
MachineLearningModelVersionProperties	Model asset version details.
MachineLearningNodeStateCounts	Counts of various compute node states on the amlCompute.
MachineLearningNoneAuthTypeWorkspaceConnection	The MachineLearningNoneAuthTypeWorkspaceConnection.
MachineLearningNoneDatastoreCredentials	Empty/none datastore credentials.
MachineLearningNotebookPreparationError	The MachineLearningNotebookPreparationError.
MachineLearningNotebookResourceInfo	The MachineLearningNotebookResourceInfo.
MachineLearningObjective	Optimization objective.
MachineLearningOnlineDeploymentPatch	Strictly used in update requests.
MachineLearningOnlineDeploymentProperties	Please note MachineLearningOnlineDeploymentProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningKubernetesOnlineDeployment and MachineLearningManagedOnlineDeployment.
MachineLearningOnlineEndpointCollectionGetAllOptions	The MachineLearningOnlineEndpointCollectionGetAllOptions.
MachineLearningOnlineEndpointProperties	Online endpoint configuration.
MachineLearningOnlineRequestSettings	Online deployment scoring requests configuration.
MachineLearningOnlineScaleSettings	Online deployment scaling configuration. Please note MachineLearningOnlineScaleSettings is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningDefaultScaleSettings and MachineLearningTargetUtilizationScaleSettings.
MachineLearningOutboundRule	Outbound Rule for the managed network of a machine learning workspace. Please note MachineLearningOutboundRule is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FqdnOutboundRule, PrivateEndpointOutboundRule and ServiceTagOutboundRule.
MachineLearningOutputPathAssetReference	Reference to an asset via its path in a job output.
MachineLearningPartialManagedServiceIdentity	Managed service identity (system assigned and/or user assigned identities)
MachineLearningPasswordDetail	The MachineLearningPasswordDetail.
MachineLearningPatAuthTypeWorkspaceConnection	The MachineLearningPatAuthTypeWorkspaceConnection.
MachineLearningPipelineJob	Pipeline Job definition: defines generic to MFE attributes.
MachineLearningPrivateEndpoint	The Private Endpoint resource.
MachineLearningPrivateLinkResource	A private link resource.
MachineLearningPrivateLinkServiceConnectionState	A collection of information about the state of the connection between service consumer and provider.
MachineLearningProbeSettings	Deployment container liveness/readiness probe configuration.
MachineLearningQuotaProperties	The properties for Quota update or retrieval.
MachineLearningQuotaUpdateContent	Quota update parameters.
MachineLearningRecurrenceSchedule	The MachineLearningRecurrenceSchedule.
MachineLearningRecurrenceTrigger	The MachineLearningRecurrenceTrigger.
MachineLearningRegistryModelVersionCollectionGetAllOptions	The MachineLearningRegistryModelVersionCollectionGetAllOptions.
MachineLearningRegistryPatch	Strictly used in update requests.
MachineLearningResourceBase	The MachineLearningResourceBase.
MachineLearningResourceConfiguration	The MachineLearningResourceConfiguration.
MachineLearningResourceName	The Resource Name.
MachineLearningResourcePatch	Strictly used in update requests.
MachineLearningResourcePatchWithIdentity	Strictly used in update requests.
MachineLearningResourceQuota	The quota assigned to a resource.
MachineLearningSasAuthTypeWorkspaceConnection	The MachineLearningSasAuthTypeWorkspaceConnection.
MachineLearningSasDatastoreCredentials	SAS datastore credentials configuration.
MachineLearningSasDatastoreSecrets	Datastore SAS secrets.
MachineLearningScheduleAction	Please note MachineLearningScheduleAction is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningJobScheduleAction, CreateMonitorAction and MachineLearningEndpointScheduleAction.
MachineLearningScheduleBase	The MachineLearningScheduleBase.
MachineLearningScheduleProperties	Base definition of a schedule.
MachineLearningScriptReference	Script reference.
MachineLearningScriptsToExecute	Customized setup scripts.
MachineLearningServerlessEndpointPatch	Strictly used in update requests.
MachineLearningServicePrincipalDatastoreCredentials	Service Principal datastore credentials configuration.
MachineLearningServicePrincipalDatastoreSecrets	Datastore Service Principal secrets.
MachineLearningSharedPrivateLinkResource	The MachineLearningSharedPrivateLinkResource.
MachineLearningSku	The resource model definition representing SKU.
MachineLearningSkuCapacity	SKU capacity information.
MachineLearningSkuDetail	Fulfills ARM Contract requirement to list all available SKUS for a resource.
MachineLearningSkuPatch	Common SKU definition.
MachineLearningSkuSetting	SkuSetting fulfills the need for stripped down SKU info in ARM contract.
MachineLearningSslConfiguration	The ssl configuration for scoring.
MachineLearningStackEnsembleSettings	Advances setting to customize StackEnsemble run.
MachineLearningSweepJob	Sweep job definition.
MachineLearningSweepJobLimits	Sweep Job limit class.
MachineLearningSynapseSpark	A SynapseSpark compute.
MachineLearningSynapseSparkProperties	The MachineLearningSynapseSparkProperties.
MachineLearningTable	MLTable data definition.
MachineLearningTableJobInput	The MachineLearningTableJobInput.
MachineLearningTableJobOutput	The MachineLearningTableJobOutput.
MachineLearningTargetUtilizationScaleSettings	The MachineLearningTargetUtilizationScaleSettings.
MachineLearningTrainingSettings	Training related configuration.
MachineLearningTrialComponent	Trial component definition.
MachineLearningTriggerBase	Please note MachineLearningTriggerBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CronTrigger and MachineLearningRecurrenceTrigger.
MachineLearningTritonModelJobInput	The MachineLearningTritonModelJobInput.
MachineLearningTritonModelJobOutput	The MachineLearningTritonModelJobOutput.
MachineLearningUriFileDataVersion	uri-file data version entity.
MachineLearningUriFileJobInput	The MachineLearningUriFileJobInput.
MachineLearningUriFileJobOutput	The MachineLearningUriFileJobOutput.
MachineLearningUriFolderDataVersion	uri-folder data version entity.
MachineLearningUriFolderJobInput	The MachineLearningUriFolderJobInput.
MachineLearningUriFolderJobOutput	The MachineLearningUriFolderJobOutput.
MachineLearningUsage	Describes AML Resource Usage.
MachineLearningUsageName	The Usage Names.
MachineLearningUserAccountCredentials	Settings for user account that gets created on each on the nodes of a compute.
MachineLearningUserFeature	Features enabled for a workspace.
MachineLearningUserIdentity	User identity configuration.
MachineLearningUsernamePasswordAuthTypeWorkspaceConnection	The MachineLearningUsernamePasswordAuthTypeWorkspaceConnection.
MachineLearningVirtualMachineCompute	A Machine Learning compute based on Azure Virtual Machines.
MachineLearningVirtualMachineProperties	The MachineLearningVirtualMachineProperties.
MachineLearningVirtualMachineSecrets	Secrets related to a Machine Learning compute based on AKS.
MachineLearningVmSize	Describes the properties of a VM size.
MachineLearningVmSshCredentials	Admin credentials for virtual machine.
MachineLearningWebhook	Webhook base Please note MachineLearningWebhook is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureDevOpsWebhook.
MachineLearningWorkspaceConnectionManagedIdentity	The MachineLearningWorkspaceConnectionManagedIdentity.
MachineLearningWorkspaceConnectionProperties	The MachineLearningWorkspaceConnectionProperties. Please note MachineLearningWorkspaceConnectionProperties is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningManagedIdentityAuthTypeWorkspaceConnection, MachineLearningNoneAuthTypeWorkspaceConnection, MachineLearningPatAuthTypeWorkspaceConnection, MachineLearningSasAuthTypeWorkspaceConnection and MachineLearningUsernamePasswordAuthTypeWorkspaceConnection.
MachineLearningWorkspaceConnectionUsernamePassword	The MachineLearningWorkspaceConnectionUsernamePassword.
MachineLearningWorkspaceDiagnoseContent	Parameters to diagnose a workspace.
MachineLearningWorkspaceDiagnoseProperties	The MachineLearningWorkspaceDiagnoseProperties.
MachineLearningWorkspaceDiagnoseResult	The MachineLearningWorkspaceDiagnoseResult.
MachineLearningWorkspaceGetKeysResult	The MachineLearningWorkspaceGetKeysResult.
MachineLearningWorkspaceGetNotebookKeysResult	The MachineLearningWorkspaceGetNotebookKeysResult.
MachineLearningWorkspaceGetStorageAccountKeysResult	The MachineLearningWorkspaceGetStorageAccountKeysResult.
MachineLearningWorkspaceNotebookAccessTokenResult	The MachineLearningWorkspaceNotebookAccessTokenResult.
MachineLearningWorkspacePatch	The parameters for updating a machine learning workspace.
MachineLearningWorkspaceQuotaUpdate	The properties for update Quota response.
ManagedComputeIdentity	Managed compute identity definition.
ManagedIdentityCredential	Credential for user managed identity.
ManagedNetworkProvisionContent	Managed Network Provisioning options for managed network of a machine learning workspace.
ManagedNetworkProvisionStatus	Status of the Provisioning for the managed network of a machine learning workspace.
ManagedNetworkSettings	Managed Network settings for a machine learning workspace.
MaterializationSettings	The MaterializationSettings.
MedianStoppingPolicy	Defines an early termination policy based on running averages of the primary metric of all runs.
MonitorComputeConfigurationBase	Monitor compute configuration base definition. Please note MonitorComputeConfigurationBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MonitorServerlessSparkCompute.
MonitorComputeIdentityBase	Monitor compute identity base definition. Please note MonitorComputeIdentityBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AmlTokenComputeIdentity and ManagedComputeIdentity.
MonitorDefinition	The MonitorDefinition.
MonitoringFeatureFilterBase	Please note MonitoringFeatureFilterBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include MachineLearningAllFeatures, FeatureSubset and TopNFeaturesByAttribution.
MonitoringInputDataBase	Monitoring input data base definition. Please note MonitoringInputDataBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include FixedInputData, RollingInputData and StaticInputData.
MonitoringSignalBase	Please note MonitoringSignalBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CustomMonitoringSignal, DataDriftMonitoringSignal, DataQualityMonitoringSignal, FeatureAttributionDriftMonitoringSignal and PredictionDriftMonitoringSignal.
MonitoringTarget	Monitoring target definition.
MonitorServerlessSparkCompute	Monitor serverless spark compute definition.
MountBindOptions	Describes the bind options for the container.
MpiDistributionConfiguration	MPI distribution configuration.
NCrossValidations	N-Cross validations value. Please note NCrossValidations is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoNCrossValidations and CustomNCrossValidations.
NlpVerticalLimitSettings	Job execution constraints.
NotificationSetting	Configuration for notification.
NumericalDataDriftMetricThreshold	The NumericalDataDriftMetricThreshold.
NumericalDataQualityMetricThreshold	The NumericalDataQualityMetricThreshold.
NumericalPredictionDriftMetricThreshold	The NumericalPredictionDriftMetricThreshold.
OAuth2AuthTypeWorkspaceConnectionProperties	The OAuth2AuthTypeWorkspaceConnectionProperties.
OneLakeArtifact	OneLake artifact (data source) configuration. Please note OneLakeArtifact is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include LakeHouseArtifact.
OneLakeDatastore	OneLake (Trident) datastore configuration.
PendingUploadCredentialDto	Please note PendingUploadCredentialDto is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include SasCredentialDto.
PendingUploadRequestDto	The PendingUploadRequestDto.
PendingUploadResponseDto	The PendingUploadResponseDto.
PredictionDriftMetricThresholdBase	Please note PredictionDriftMetricThresholdBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include CategoricalPredictionDriftMetricThreshold and NumericalPredictionDriftMetricThreshold.
PredictionDriftMonitoringSignal	The PredictionDriftMonitoringSignal.
PrivateEndpointBase	The Private Endpoint resource.
PrivateEndpointDestination	Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PrivateEndpointOutboundRule	Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PyTorchDistributionConfiguration	PyTorch distribution configuration.
RandomSamplingAlgorithm	Defines a Sampling Algorithm that generates values randomly.
RegistryAcrDetails	Details of ACR account to be used for the Registry.
RegistryPrivateEndpoint	The PE network resource that is linked to this PE connection.
RegistryPrivateEndpointConnection	Private endpoint connection definition.
RegistryPrivateLinkServiceConnectionState	The connection state.
RegistryRegionArmDetails	Details for each region the registry is in.
RegressionTrainingSettings	Regression Training related configuration.
RollingInputData	Rolling input data definition.
SamplingAlgorithm	The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm Please note SamplingAlgorithm is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include BayesianSamplingAlgorithm, GridSamplingAlgorithm and RandomSamplingAlgorithm.
SasCredential	Access with full SAS uri.
SasCredentialDto	The SasCredentialDto.
ServerlessComputeSettings	The ServerlessComputeSettings.
ServerlessEndpointProperties	The ServerlessEndpointProperties.
ServerlessInferenceEndpoint	The ServerlessInferenceEndpoint.
ServicePrincipalAuthTypeWorkspaceConnectionProperties	The ServicePrincipalAuthTypeWorkspaceConnectionProperties.
ServiceTagDestination	Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
ServiceTagOutboundRule	Service Tag Outbound Rule for the managed network of a machine learning workspace.
SparkJob	Spark job definition.
SparkJobEntry	Spark job entry point definition. Please note SparkJobEntry is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include SparkJobPythonEntry and SparkJobScalaEntry.
SparkJobPythonEntry	The SparkJobPythonEntry.
SparkJobScalaEntry	The SparkJobScalaEntry.
SparkResourceConfiguration	The SparkResourceConfiguration.
StaticInputData	Static input data definition.
StorageAccountDetails	Details of storage account to be used for the Registry.
SystemCreatedAcrAccount	The SystemCreatedAcrAccount.
SystemCreatedStorageAccount	The SystemCreatedStorageAccount.
TableVerticalFeaturizationSettings	Featurization Configuration.
TableVerticalLimitSettings	Job execution constraints.
TargetLags	The number of past periods to lag from the target column. Please note TargetLags is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoTargetLags and CustomTargetLags.
TargetRollingWindowSize	Forecasting target rolling window size. Please note TargetRollingWindowSize is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoTargetRollingWindowSize and CustomTargetRollingWindowSize.
TensorFlowDistributionConfiguration	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.
TopNFeaturesByAttribution	The TopNFeaturesByAttribution.
TruncationSelectionPolicy	Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
VolumeDefinition	Describes the volume configuration for the container.
WorkspaceConnectionAccessKey	The WorkspaceConnectionAccessKey.
WorkspaceConnectionOAuth2	ClientId and ClientSecret are required. Other properties are optional depending on each OAuth2 provider's implementation.
WorkspaceConnectionServicePrincipal	The WorkspaceConnectionServicePrincipal.
WorkspaceHubConfig	WorkspaceHub's configuration object.

Structs

AutoMLVerticalRegressionModel	Enum for all Regression models supported by AutoML.
AutoMLVerticalRegressionPrimaryMetric	Primary metrics for Regression task.
AutoRebuildSetting	AutoRebuild setting for the derived image.
BlockedTransformer	Enum for all classification models supported by AutoML.
CategoricalDataDriftMetric	The CategoricalDataDriftMetric.
CategoricalDataQualityMetric	The CategoricalDataQualityMetric.
CategoricalPredictionDriftMetric	The CategoricalPredictionDriftMetric.
ClassificationModel	Enum for all classification models supported by AutoML.
ClassificationMultilabelPrimaryMetric	Primary metrics for classification multilabel tasks.
ClassificationPrimaryMetric	Primary metrics for classification tasks.
ContainerCommunicationProtocol	Protocol over which communication will happen over this endpoint.
ContentSafetyStatus	Specifies the status of content safety.
DataAvailabilityStatus	The DataAvailabilityStatus.
DataCollectionMode	The DataCollectionMode.
EmailNotificationEnableType	Enum to determine the email notification type.
EndpointServiceConnectionStatus	Connection status of the service consumer with the service provider.
EnvironmentVariableType	Type of the Environment Variable. Possible values are: local - For local variable.
FeatureAttributionMetric	The FeatureAttributionMetric.
FeatureDataType	The FeatureDataType.
FeatureImportanceMode	The mode of operation for computing feature importance.
ForecastingModel	Enum for all forecasting models supported by AutoML.
ForecastingPrimaryMetric	Primary metrics for Forecasting task.
ImageType	Type of the image. Possible values are: docker - For docker images. azureml - For AzureML images.
InstanceSegmentationPrimaryMetric	Primary metrics for InstanceSegmentation tasks.
IsolationMode	Isolation mode for the managed network of a machine learning workspace.
JobInputType	Enum to determine the Job Input Type.
JobTier	Enum to determine the job tier.
LearningRateScheduler	Learning rate scheduler enum.
MachineLearningAllocationState	Allocation state of the compute. Possible values are: steady - Indicates that the compute is not resizing. There are no changes to the number of compute nodes in the compute in progress. A compute enters this state when it is created and when no operations are being performed on the compute to change the number of compute nodes. resizing - Indicates that the compute is resizing; that is, compute nodes are being added to or removed from the compute.
MachineLearningApplicationSharingPolicy	Policy for sharing applications on this compute instance among users of parent workspace. If Personal, only the creator can access applications on this compute instance. When Shared, any workspace user can access applications on this instance depending on his/her assigned role.
MachineLearningBatchLoggingLevel	Log verbosity for batch inferencing. Increasing verbosity order for logging is : Warning, Info and Debug. The default value is Info.
MachineLearningBatchOutputAction	Enum to determine how batch inferencing will handle output.
MachineLearningBillingCurrency	Three lettered code specifying the currency of the VM price. Example: USD.
MachineLearningCachingType	Caching type of Data Disk.
MachineLearningClusterPurpose	Intended usage of the cluster.
MachineLearningComputeInstanceAuthorizationType	The Compute Instance Authorization type. Available values are personal (default).
MachineLearningComputeInstanceAutosave	Auto save settings.
MachineLearningComputeInstanceState	Current state of an ComputeInstance.
MachineLearningComputePowerAction	The compute power action.
MachineLearningComputeProvisioningStatus	The current deployment state of schedule.
MachineLearningComputeRecurrenceFrequency	Enum to describe the frequency of a compute recurrence schedule.
MachineLearningComputeWeekDay	Enum of weekday.
MachineLearningConnectionCategory	Category of the connection.
MachineLearningContainerType	The MachineLearningContainerType.
MachineLearningDataType	Enum to determine the type of data.
MachineLearningDayOfWeek	Enum of weekday.
MachineLearningDeploymentProvisioningState	Possible values for DeploymentProvisioningState.
MachineLearningDiagnoseResultLevel	Level of workspace setup error.
MachineLearningEgressPublicNetworkAccessType	Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment.
MachineLearningEncryptionStatus	Indicates whether or not the encryption is enabled for the workspace.
MachineLearningEndpointAuthMode	Enum to determine endpoint authentication mode.
MachineLearningEndpointComputeType	Enum to determine endpoint compute type.
MachineLearningEndpointProvisioningState	State of endpoint provisioning.
MachineLearningEnvironmentType	Environment type is either user created or curated by Azure ML service.
MachineLearningFeatureLag	Flag for generating lags for the numeric features.
MachineLearningFeaturizationMode	Featurization mode - determines data featurization mode.
MachineLearningGoal	Defines supported metric goals for hyperparameter tuning.
MachineLearningInputDeliveryMode	Enum to determine the input data delivery mode.
MachineLearningJobStatus	The status of a job.
MachineLearningKeyType	The MachineLearningKeyType.
MachineLearningListViewType	The MachineLearningListViewType.
MachineLearningLoadBalancerType	Load Balancer Type.
MachineLearningLogVerbosity	Enum for setting log verbosity.
MachineLearningModelSize	Image model size.
MachineLearningMountAction	Mount Action.
MachineLearningMountState	Mount state.
MachineLearningNetwork	network of this container.
MachineLearningNodeState	State of the compute node. Values are idle, running, preparing, unusable, leaving and preempted.
MachineLearningOperatingSystemType	The type of operating system.
MachineLearningOperationName	Name of the last operation.
MachineLearningOperationStatus	Operation status.
MachineLearningOperationTrigger	Trigger of operation.
MachineLearningOrderString	The MachineLearningOrderString.
MachineLearningOSType	Compute OS Type.
MachineLearningOutputDeliveryMode	Output data delivery mode enums.
MachineLearningPrivateEndpointConnectionProvisioningState	The current provisioning state.
MachineLearningPrivateEndpointServiceConnectionStatus	The private endpoint connection status.
MachineLearningProvisioningState	The current deployment state of workspace resource. The provisioningState is to indicate states for resource provisioning.
MachineLearningPublicNetworkAccess	Whether requests from Public Network are allowed.
MachineLearningPublicNetworkAccessType	Enum to determine whether PublicNetworkAccess is Enabled or Disabled.
MachineLearningQuotaUnit	An enum describing the unit of quota measurement.
MachineLearningRecurrenceFrequency	Enum to describe the frequency of a recurrence schedule.
MachineLearningRemoteLoginPortPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on all nodes of the cluster. Enabled - Indicates that the public ssh port is open on all nodes of the cluster. NotSpecified - Indicates that the public ssh port is closed on all nodes of the cluster if VNet is defined, else is open all public nodes. It can be default only during cluster creation time, after creation it will be either enabled or disabled.
MachineLearningScheduleListViewType	The MachineLearningScheduleListViewType.
MachineLearningScheduleProvisioningState	The current deployment state of schedule.
MachineLearningScheduleProvisioningStatus	The MachineLearningScheduleProvisioningStatus.
MachineLearningScheduleStatus	Is the schedule enabled or disabled?.
MachineLearningServiceDataAccessAuthIdentity	The MachineLearningServiceDataAccessAuthIdentity.
MachineLearningShortSeriesHandlingConfiguration	The parameter defining how if AutoML should handle short time series.
MachineLearningSkuScaleType	Node scaling setting for the compute sku.
MachineLearningSourceType	Data source type.
MachineLearningSshPublicAccess	State of the public SSH port. Possible values are: Disabled - Indicates that the public ssh port is closed on this instance. Enabled - Indicates that the public ssh port is open and accessible according to the VNet/subnet policy if applicable.
MachineLearningSslConfigStatus	Enable or disable ssl for scoring.
MachineLearningStackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models. Default meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled). This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression
MachineLearningStorageAccountType	type of this storage account.
MachineLearningTriggerType	Is the trigger type recurrence or cron.
MachineLearningUnderlyingResourceAction	The MachineLearningUnderlyingResourceAction.
MachineLearningUnitOfMeasure	The unit of time measurement for the specified VM price. Example: OneHour.
MachineLearningUsageUnit	An enum describing the unit of usage measurement.
MachineLearningUseStl	Configure STL Decomposition of the time-series target column.
MachineLearningVmPriceOSType	Operating system type used by the VM.
MachineLearningVmPriority	Virtual Machine priority.
MachineLearningVmTier	The type of the VM.
MachineLearningWorkspaceQuotaStatus	Status of update workspace quota.
ManagedNetworkStatus	Status for the managed network of a machine learning workspace.
MarketplaceSubscriptionProvisioningState	The MarketplaceSubscriptionProvisioningState.
MarketplaceSubscriptionStatus	The MarketplaceSubscriptionStatus.
MaterializationStoreType	The MaterializationStoreType.
ModelTaskType	Model task type enum.
MonitoringFeatureDataType	The MonitoringFeatureDataType.
MonitoringNotificationType	The MonitoringNotificationType.
NetworkingRuleAction	The action enum for networking rule.
NumericalDataDriftMetric	The NumericalDataDriftMetric.
NumericalDataQualityMetric	The NumericalDataQualityMetric.
NumericalPredictionDriftMetric	The NumericalPredictionDriftMetric.
ObjectDetectionPrimaryMetric	Primary metrics for Image ObjectDetection task.
OutboundRuleCategory	Category of a managed network Outbound Rule of a machine learning workspace.
OutboundRuleStatus	Type of a managed network Outbound Rule of a machine learning workspace.
PendingUploadType	Type of storage to use for the pending upload location.
PublicNetworkAccess	Whether requests from Public Network are allowed.
RandomSamplingAlgorithmRule	The specific type of random algorithm.
RegistryAssetProvisioningState	Provisioning state of registry asset.
RollingRateType	The RollingRateType.
SamplingAlgorithmType	The SamplingAlgorithmType.
ServerlessEndpointState	State of the Serverless Endpoint.
ServerlessInferenceEndpointAuthMode	The ServerlessInferenceEndpointAuthMode.
StochasticOptimizer	Stochastic optimizer for image models.
TargetAggregationFunction	Target aggregate function.
ValidationMetricType	Metric computation method to use for validation metrics in image tasks.
VolumeDefinitionType	Type of Volume Definition. Possible Values: bind,volume,tmpfs,npipe.
WorkspaceConnectionGroup	Group based on connection category.

Enums

MachineLearningSkuTier

This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.