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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.

AutoDeleteSetting

The AutoDeleteSetting.

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.

AzMonMonitoringAlertNotificationSettings

The AzMonMonitoringAlertNotificationSettings.

AzureDevOpsWebhook

Webhook details specific for Azure DevOps.

AzureMLBatchInferencingServer

Azure ML batch inferencing server configurations.

AzureMLOnlineInferencingServer

Azure ML online inferencing configurations.

BanditPolicy

Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.

BaseEnvironmentSource

The BaseEnvironmentSource. Please note BaseEnvironmentSource 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 BaseEnvironmentType.

BaseEnvironmentType

Base environment type.

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.

ClassificationModelPerformanceMetricThreshold

The ClassificationModelPerformanceMetricThreshold.

ClassificationTask

Classification task in AutoML Table vertical.

ClassificationTrainingSettings

Classification Training related configuration.

CocoExportSummary

The CocoExportSummary.

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.

CsvExportSummary

The CsvExportSummary.

CustomForecastHorizon

The desired maximum forecast horizon in units of time-series frequency.

CustomInferencingServer

Custom inference server configurations.

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.

DatabaseSource

The DatabaseSource.

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.

DataImport

The DataImport.

DataImportSource

The DataImportSource. Please note DataImportSource 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 DatabaseSource and FileSystemSource.

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.

DatasetExportSummary

The DatasetExportSummary.

DestinationAssetContent

Publishing destination registry asset information.

DockerCredential

Credential for docker with username and password.

DockerSetting

Docker container configuration.

EmailMonitoringAlertNotificationSettings

The EmailMonitoringAlertNotificationSettings.

EncryptionKeyVaultUpdateProperties

The EncryptionKeyVaultUpdateProperties.

EncryptionUpdateProperties

The EncryptionUpdateProperties.

EnvironmentVariable

Environment Variables for the container.

ExportSummary

The ExportSummary. Please note ExportSummary 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 CsvExportSummary, CocoExportSummary and DatasetExportSummary.

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.

FileSystemSource

The FileSystemSource.

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.

GenerationSafetyQualityMetricThreshold

Generation safety quality metric threshold definition.

GenerationSafetyQualityMonitoringSignal

Generation safety quality monitoring signal definition.

GenerationTokenStatisticsMetricThreshold

Generation token statistics metric threshold definition.

GenerationTokenStatisticsSignal

Generation token statistics signal definition.

GetBlobReferenceForConsumptionDto

The GetBlobReferenceForConsumptionDto.

GridSamplingAlgorithm

Defines a Sampling Algorithm that exhaustively generates every value combination in the space.

HdfsDatastore

The HdfsDatastore.

IdleShutdownSetting

Stops compute instance after user defined period of inactivity.

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.

ImportDataAction

The ImportDataAction.

IndexColumn

DTO object representing index column.

InferencingServer

The InferencingServer. Please note InferencingServer 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 AzureMLBatchInferencingServer, AzureMLOnlineInferencingServer, CustomInferencingServer and TritonInferencingServer.

IntellectualProperty

Intellectual Property details for a resource.

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.

JobQueueSettings

The JobQueueSettings.

JobStatusMessage

Active message associated with project.

KerberosKeytabCredentials

The KerberosKeytabCredentials.

KerberosKeytabSecrets

The KerberosKeytabSecrets.

KerberosPasswordCredentials

The KerberosPasswordCredentials.

KerberosPasswordSecrets

The KerberosPasswordSecrets.

LabelCategory

Label category definition.

LabelClass

Label class definition.

LabelingDataConfiguration

Labeling data configuration definition.

LabelingJobImageProperties

Properties of a labeling job for image data.

LabelingJobMediaProperties

Properties of a labeling job Please note LabelingJobMediaProperties 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 LabelingJobImageProperties and LabelingJobTextProperties.

LabelingJobProperties

Labeling job definition.

LabelingJobTextProperties

Properties of a labeling job for text data.

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.

MachineLearningAssistConfiguration

Labeling MLAssist configuration definition Please note MachineLearningAssistConfiguration 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 MLAssistConfigurationDisabled and MachineLearningAssistEnabledConfiguration.

MachineLearningAssistEnabledConfiguration

Labeling MLAssist configuration definition when MLAssist is enabled.

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.

MachineLearningDataVersionCollectionGetAllOptions

The MachineLearningDataVersionCollectionGetAllOptions.

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.

MachineLearningFeatureSetJob

Dto object representing the feature set job.

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.

MachineLearningJobCollectionGetAllOptions

The MachineLearningJobCollectionGetAllOptions.

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.

MachineLearningJobPatch

Azure Resource Manager resource envelope strictly used in update requests.

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.

MachineLearningWorkspaceConnectionPatch

The properties that the machine learning workspace connection will be updated with.

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.

MLAssistConfigurationDisabled

Labeling MLAssist configuration definition when MLAssist is disabled.

ModelConfiguration

Model configuration options.

ModelPackageContent

Model package operation request properties.

ModelPackageInput

Model package input options.

ModelPackageResult

Package response returned after async package operation completes successfully.

ModelPerformanceMetricThresholdBase

The ModelPerformanceMetricThresholdBase. Please note ModelPerformanceMetricThresholdBase 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 ClassificationModelPerformanceMetricThreshold and RegressionModelPerformanceMetricThreshold.

ModelPerformanceSignal

Model performance signal definition.

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.

MonitoringAlertNotificationSettingsBase

The MonitoringAlertNotificationSettingsBase. Please note MonitoringAlertNotificationSettingsBase 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 AzMonMonitoringAlertNotificationSettings and EmailMonitoringAlertNotificationSettings.

MonitoringDataSegment

The MonitoringDataSegment.

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.

MonitoringWorkspaceConnection

Monitoring workspace connection 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.

NlpFixedParameters

Fixed training parameters that won't be swept over during AutoML NLP training.

NlpParameterSubspace

Stringified search spaces for each parameter. See below examples.

NlpSweepSettings

Model sweeping and hyperparameter tuning related settings.

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.

OnlineInferenceConfiguration

Online inference configuration options.

PackageInputPathBase

The PackageInputPathBase. Please note PackageInputPathBase 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 PackageInputPathId, PackageInputPathVersion and PackageInputPathUri.

PackageInputPathId

Package input path specified with a resource id.

PackageInputPathUri

Package input path specified as an url.

PackageInputPathVersion

Package input path specified with name and version.

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.

ProgressMetrics

Progress metrics definition.

PyTorchDistributionConfiguration

PyTorch distribution configuration.

RandomSamplingAlgorithm

Defines a Sampling Algorithm that generates values randomly.

RayDistributionConfiguration

Ray distribution configuration.

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.

RegressionModelPerformanceMetricThreshold

The RegressionModelPerformanceMetricThreshold.

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.

SecretConfiguration

Secret Configuration definition.

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.

TableFixedParameters

Fixed training parameters that won't be swept over during AutoML Table training.

TableParameterSubspace

The TableParameterSubspace.

TableSweepSettings

The TableSweepSettings.

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.

TrailingInputData

Trailing input data definition.

TritonInferencingServer

Triton inferencing server configurations.

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

AutoDeleteCondition

The AutoDeleteCondition.

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.

ClassificationModelPerformanceMetric

The ClassificationModelPerformanceMetric.

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.

FeatureStoreJobType

The FeatureStoreJobType.

ForecastingModel

Enum for all forecasting models supported by AutoML.

ForecastingPrimaryMetric

Primary metrics for Forecasting task.

GenerationSafetyQualityMetric

Generation safety quality metric enum.

GenerationTokenStatisticsMetric

Generation token statistics metric enum.

ImageAnnotationType

Annotation type of image data.

ImageType

Type of the image. Possible values are: docker - For docker images. azureml - For AzureML images.

IncrementalDataRefresh

Whether IncrementalDataRefresh is enabled.

InstanceSegmentationPrimaryMetric

Primary metrics for InstanceSegmentation tasks.

IntellectualProtectionLevel

Protection level associated with the Intellectual Property.

IsolationMode

Isolation mode for the managed network of a machine learning workspace.

JobInputType

Enum to determine the Job Input Type.

JobProvisioningState

Enum to determine the job provisioning state.

JobStatusMessageLevel

The JobStatusMessageLevel.

JobTier

Enum to determine the job tier.

LabelCategoryMultiSelect

Whether multiSelect is enabled.

LearningRateScheduler

Learning rate scheduler enum.

LogTrainingMetric

The LogTrainingMetric.

LogValidationLoss

The LogValidationLoss.

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.

MachineLearningFlowAutoLogger

Indicates whether mlflow autologger is enabled for notebooks.

MachineLearningFlowAutoLoggerState

Enum to determine the state of mlflow autologger.

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.

MonitoringModelType

The MonitoringModelType.

MonitoringNotificationMode

The MonitoringNotificationMode.

MonitoringNotificationType

The MonitoringNotificationType.

NetworkingRuleAction

The action enum for networking rule.

NlpLearningRateScheduler

Enum of learning rate schedulers that aligns with those supported by HF.

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.

PackageBuildState

Package build state returned in package response.

PackageInputDeliveryMode

Mounting type of the model or the inputs.

PackageInputType

Type of the inputs.

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.

RegressionModelPerformanceMetric

The RegressionModelPerformanceMetric.

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.

TextAnnotationType

Annotation type of text data.

TrainingMode

Training mode dictates whether to use distributed training or not.

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.