Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401 Namespace
Important
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Classes
| AadAuthTypeWorkspaceConnectionProperties |
This connection type covers the AAD auth for any applicable Azure service |
| AccessKeyAuthTypeWorkspaceConnectionProperties | |
| AccountKeyAuthTypeWorkspaceConnectionProperties |
This connection type covers the account key connection for Azure storage |
| AccountKeyDatastoreCredentials |
Account key datastore credentials configuration. |
| AccountKeyDatastoreSecrets |
Datastore account key secrets. |
| AcrDetails |
Details of ACR account to be used for the Registry |
| Aks |
A Machine Learning compute based on AKS. |
| AksComputeSecrets |
Secrets related to a Machine Learning compute based on AKS. |
| AksComputeSecretsProperties |
Properties of AksComputeSecrets |
| AksNetworkingConfiguration |
Advance configuration for AKS networking |
| AksSchema | |
| AksSchemaProperties |
AKS properties |
| AllFeatures | |
| AllNodes |
All nodes means the service will be running on all of the nodes of the job |
| AmlCompute |
An Azure Machine Learning compute. |
| AmlComputeNodeInformation |
Compute node information related to a AmlCompute. |
| AmlComputeNodesInformation |
Result of AmlCompute Nodes |
| AmlComputeProperties |
AML Compute properties |
| AmlComputeSchema |
Properties(top level) of AmlCompute |
| AmlToken |
AML Token identity configuration. |
| AmlTokenComputeIdentity |
AML token compute identity definition. |
| AmlUserFeature |
Features enabled for a workspace |
| AnonymousAccessCredential |
Access credential with no credentials |
| ApiKeyAuthWorkspaceConnectionProperties |
This connection type covers the generic ApiKey auth connection categories, for examples: AzureOpenAI: Category:= AzureOpenAI AuthType:= ApiKey (as type discriminator) Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {ApiBase} CognitiveService: Category:= CognitiveService AuthType:= ApiKey (as type discriminator) Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= ServiceRegion={serviceRegion} CognitiveSearch: Category:= CognitiveSearch AuthType:= ApiKey (as type discriminator) Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {Endpoint} Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields |
| ArmResourceId |
ARM ResourceId of a resource |
| AssetBase | |
| AssetContainer | |
| AssetJobInput |
Asset input type. |
| AssetJobOutput |
Asset output type. |
| AssetReferenceBase |
Base definition for asset references. |
| AssignedUser |
A user that can be assigned to a compute instance. |
| AutoForecastHorizon |
Forecast horizon determined automatically by system. |
| AutoMlJob |
AutoMLJob class. Use this class for executing AutoML tasks like Classification/Regression etc. See TaskType enum for all the tasks supported. |
| AutoMlJobEnvironmentVariables |
Environment variables included in the job. |
| AutoMlJobOutputs |
Mapping of output data bindings used in the job. |
| AutoMlVertical |
AutoML vertical class. Base class for AutoML verticals - TableVertical/ImageVertical/NLPVertical |
| AutoNCrossValidations |
N-Cross validations determined automatically. |
| AutoPauseProperties |
Auto pause properties |
| AutoScaleProperties |
Auto scale properties |
| AutoSeasonality | |
| AutoTargetLags | |
| AutoTargetRollingWindowSize |
Target lags rolling window determined automatically. |
| AzureBlobDatastore |
Azure Blob datastore configuration. |
| AzureDataLakeGen1Datastore |
Azure Data Lake Gen1 datastore configuration. |
| AzureDataLakeGen2Datastore |
Azure Data Lake Gen2 datastore configuration. |
| AzureDatastore |
Base definition for Azure datastore contents configuration. |
| AzureDevOpsWebhook |
Webhook details specific for Azure DevOps |
| AzureFileDatastore |
Azure File datastore configuration. |
| BanditPolicy |
Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation |
| BatchDeployment | |
| BatchDeploymentConfiguration |
Properties relevant to different deployment types. |
| BatchDeploymentProperties |
Batch inference settings per deployment. |
| BatchDeploymentTrackedResourceArmPaginatedResult |
A paginated list of BatchDeployment entities. |
| BatchEndpoint | |
| BatchEndpointDefaults |
Batch endpoint default values |
| BatchEndpointProperties |
Batch endpoint configuration. |
| BatchEndpointTrackedResourceArmPaginatedResult |
A paginated list of BatchEndpoint entities. |
| BatchPipelineComponentDeploymentConfiguration |
Properties for a Batch Pipeline Component Deployment. |
| BatchPipelineComponentDeploymentConfigurationSettings |
Run-time settings for the pipeline job. |
| BatchPipelineComponentDeploymentConfigurationTags |
The tags which will be applied to the job. |
| BatchRetrySettings |
Retry settings for a batch inference operation. |
| BayesianSamplingAlgorithm |
Defines a Sampling Algorithm that generates values based on previous values |
| BindOptions |
Describes the bind options for the container |
| BlobReferenceForConsumptionDto | |
| BuildContext |
Configuration settings for Docker build context |
| CategoricalDataDriftMetricThreshold | |
| CategoricalDataQualityMetricThreshold | |
| CategoricalPredictionDriftMetricThreshold | |
| CertificateDatastoreCredentials |
Certificate datastore credentials configuration. |
| CertificateDatastoreSecrets |
Datastore certificate secrets. |
| Classification |
Classification task in AutoML Table vertical. |
| ClassificationTrainingSettings |
Classification Training related configuration. |
| ClusterUpdateParameters |
AmlCompute update parameters. |
| ClusterUpdateProperties |
The properties of a amlCompute that need to be updated. |
| CodeConfiguration |
Configuration for a scoring code asset. |
| CodeContainer |
Azure Resource Manager resource envelope. |
| CodeContainerProperties |
Container for code asset versions. |
| CodeContainerResourceArmPaginatedResult |
A paginated list of CodeContainer entities. |
| CodeVersion |
Azure Resource Manager resource envelope. |
| CodeVersionProperties |
Code asset version details. |
| CodeVersionResourceArmPaginatedResult |
A paginated list of CodeVersion entities. |
| Collection | |
| ColumnTransformer |
Column transformer parameters. |
| CommandJob |
Command job definition. |
| CommandJobEnvironmentVariables |
Environment variables included in the job. |
| CommandJobInputs |
Mapping of input data bindings used in the job. |
| CommandJobLimits |
Command Job limit class. |
| CommandJobOutputs |
Mapping of output data bindings used in the job. |
| ComponentContainer |
Azure Resource Manager resource envelope. |
| ComponentContainerProperties |
Component container definition. https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command |
| ComponentContainerResourceArmPaginatedResult |
A paginated list of ComponentContainer entities. |
| ComponentVersion |
Azure Resource Manager resource envelope. |
| ComponentVersionComponentSpec |
Defines Component definition details. https://learn.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command |
| ComponentVersionProperties |
Definition of a component version: defines resources that span component types. |
| ComponentVersionResourceArmPaginatedResult |
A paginated list of ComponentVersion entities. |
| Compute |
Machine Learning compute object. |
| ComputeInstance |
An Azure Machine Learning compute instance. |
| ComputeInstanceApplication |
Defines an Aml Instance application and its connectivity endpoint URI. |
| ComputeInstanceConnectivityEndpoints |
Defines all connectivity endpoints and properties for an ComputeInstance. |
| ComputeInstanceContainer |
Defines an Aml Instance container. |
| ComputeInstanceCreatedBy |
Describes information on user who created this ComputeInstance. |
| ComputeInstanceDataDisk |
Defines an Aml Instance DataDisk. |
| ComputeInstanceDataMount |
Defines an Aml Instance DataMount. |
| ComputeInstanceEnvironmentInfo |
Environment information |
| ComputeInstanceLastOperation |
The last operation on ComputeInstance. |
| ComputeInstanceProperties |
Compute Instance properties |
| ComputeInstanceSchema |
Properties(top level) of ComputeInstance |
| ComputeInstanceSshSettings |
Specifies policy and settings for SSH access. |
| ComputeInstanceVersion |
Version of computeInstance. |
| ComputeRecurrenceSchedule | |
| ComputeResource |
Machine Learning compute object wrapped into ARM resource envelope. |
| ComputeResourceSchema | |
| ComputeResourceTags |
Contains resource tags defined as key/value pairs. |
| ComputeRuntimeDto |
Compute runtime config for feature store type workspace. |
| ComputeSchedules |
The list of schedules to be applied on the computes |
| ComputeSecrets |
Secrets related to a Machine Learning compute. Might differ for every type of compute. |
| ComputeStartStopSchedule |
Compute start stop schedule properties |
| ContainerResourceRequirements |
Resource requirements for each container instance within an online deployment. |
| ContainerResourceSettings | |
| ContentSafety | |
| CosmosDbSettings | |
| CreateMonitorAction | |
| Cron |
The workflow trigger cron for ComputeStartStop schedule type. |
| CronTrigger | |
| CustomForecastHorizon |
The desired maximum forecast horizon in units of time-series frequency. |
| CustomKeys | |
| CustomKeys1 |
Custom Keys credential object |
| CustomKeysWorkspaceConnectionProperties |
Category:= CustomKeys AuthType:= CustomKeys (as type discriminator) Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys Target:= {any value} Use Metadata property bag for ApiVersion and other metadata fields |
| CustomMetricThreshold | |
| CustomModelJobInput | |
| CustomModelJobOutput | |
| CustomMonitoringSignal | |
| CustomMonitoringSignalInputAssets |
Monitoring assets to take as input. Key is the component input port name, value is the data asset. |
| CustomMonitoringSignalInputs |
Extra component parameters to take as input. Key is the component literal input port name, value is the parameter value. |
| CustomNCrossValidations |
N-Cross validations are specified by user. |
| CustomSeasonality | |
| CustomService |
Specifies the custom service configuration |
| CustomServiceEnvironmentVariables |
Environment Variable for the container |
| CustomTargetLags | |
| CustomTargetRollingWindowSize | |
| Databricks |
A DataFactory compute. |
| DatabricksComputeSecrets |
Secrets related to a Machine Learning compute based on Databricks. |
| DatabricksComputeSecretsProperties |
Properties of Databricks Compute Secrets |
| DatabricksProperties |
Properties of Databricks |
| DatabricksSchema | |
| DataCollector | |
| DataCollectorCollections |
[Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging. |
| DataContainer |
Azure Resource Manager resource envelope. |
| DataContainerProperties |
Container for data asset versions. |
| DataContainerResourceArmPaginatedResult |
A paginated list of DataContainer entities. |
| DataDriftMetricThresholdBase | |
| DataDriftMonitoringSignal | |
| DataDriftMonitoringSignalFeatureDataTypeOverride |
A dictionary that maps feature names to their respective data types. |
| DataFactory |
A DataFactory compute. |
| DataLakeAnalytics |
A DataLakeAnalytics compute. |
| DataLakeAnalyticsSchema | |
| DataLakeAnalyticsSchemaProperties | |
| DataPathAssetReference |
Reference to an asset via its path in a datastore. |
| DataQualityMetricThresholdBase | |
| DataQualityMonitoringSignal | |
| DataQualityMonitoringSignalFeatureDataTypeOverride |
A dictionary that maps feature names to their respective data types. |
| DataReferenceCredential |
DataReferenceCredential base class |
| Datastore |
Azure Resource Manager resource envelope. |
| DatastoreCredentials |
Base definition for datastore credentials. |
| DatastoreProperties |
Base definition for datastore contents configuration. |
| DatastoreResourceArmPaginatedResult |
A paginated list of Datastore entities. |
| DatastoreSecrets |
Base definition for datastore secrets. |
| DataVersionBase |
Azure Resource Manager resource envelope. |
| DataVersionBaseProperties |
Data version base definition |
| DataVersionBaseResourceArmPaginatedResult |
A paginated list of DataVersionBase entities. |
| DefaultScaleSettings | |
| DeploymentLogs | |
| DeploymentLogsRequest | |
| DeploymentResourceConfiguration | |
| DestinationAsset |
Publishing destination registry asset information |
| DiagnoseRequestProperties | |
| DiagnoseRequestPropertiesApplicationInsights |
Setting for diagnosing dependent application insights |
| DiagnoseRequestPropertiesContainerRegistry |
Setting for diagnosing dependent container registry |
| DiagnoseRequestPropertiesDnsResolution |
Setting for diagnosing dns resolution |
| DiagnoseRequestPropertiesKeyVault |
Setting for diagnosing dependent key vault |
| DiagnoseRequestPropertiesNsg |
Setting for diagnosing network security group |
| DiagnoseRequestPropertiesOthers |
Setting for diagnosing unclassified category of problems |
| DiagnoseRequestPropertiesResourceLock |
Setting for diagnosing resource lock |
| DiagnoseRequestPropertiesStorageAccount |
Setting for diagnosing dependent storage account |
| DiagnoseRequestPropertiesUdr |
Setting for diagnosing user defined routing |
| DiagnoseResponseResult | |
| DiagnoseResponseResultValue | |
| DiagnoseResult |
Result of Diagnose |
| DiagnoseWorkspaceParameters |
Parameters to diagnose a workspace |
| DistributionConfiguration |
Base definition for job distribution configuration. |
| Docker |
Docker container configuration |
| DockerCredential |
Credential for docker with username and password |
| EarlyTerminationPolicy |
Early termination policies enable canceling poor-performing runs before they complete |
| EncryptionKeyVaultProperties | |
| EncryptionKeyVaultUpdateProperties | |
| EncryptionProperty | |
| EncryptionUpdateProperties | |
| Endpoint |
Describes the endpoint configuration for the container |
| EndpointAuthKeys |
Keys for endpoint authentication. |
| EndpointAuthToken |
Service Token |
| EndpointDeploymentPropertiesBase |
Base definition for endpoint deployment. |
| EndpointDeploymentPropertiesBaseEnvironmentVariables |
Environment variables configuration for the deployment. |
| EndpointDeploymentPropertiesBaseProperties |
Property dictionary. Properties can be added, but not removed or altered. |
| EndpointPropertiesBase |
Inference Endpoint base definition |
| EndpointPropertiesBaseProperties |
Property dictionary. Properties can be added, but not removed or altered. |
| EndpointScheduleAction | |
| EnvironmentContainer |
Azure Resource Manager resource envelope. |
| EnvironmentContainerProperties |
Container for environment specification versions. |
| EnvironmentContainerResourceArmPaginatedResult |
A paginated list of EnvironmentContainer entities. |
| EnvironmentVariable |
Environment Variables for the container |
| EnvironmentVersion |
Azure Resource Manager resource envelope. |
| EnvironmentVersionProperties |
Environment version details. |
| EnvironmentVersionResourceArmPaginatedResult |
A paginated list of EnvironmentVersion entities. |
| EstimatedVMPrice |
The estimated price info for using a VM of a particular OS type, tier, etc. |
| EstimatedVMPrices |
The estimated price info for using a VM. |
| ExternalFqdnResponse | |
| Feature |
Azure Resource Manager resource envelope. |
| FeatureAttributionDriftMonitoringSignal | |
| FeatureAttributionDriftMonitoringSignalFeatureDataTypeOverride |
A dictionary that maps feature names to their respective data types. |
| FeatureAttributionMetricThreshold | |
| FeatureImportanceSettings | |
| FeatureProperties |
DTO object representing feature |
| FeatureResourceArmPaginatedResult |
A paginated list of Feature entities. |
| FeaturesetContainer |
Azure Resource Manager resource envelope. |
| FeaturesetContainerProperties |
DTO object representing feature set |
| FeaturesetContainerResourceArmPaginatedResult |
A paginated list of FeaturesetContainer entities. |
| FeaturesetSpecification |
DTO object representing specification |
| FeaturesetVersion |
Azure Resource Manager resource envelope. |
| FeaturesetVersionBackfillRequest |
Request payload for creating a backfill request for a given feature set version |
| FeaturesetVersionBackfillRequestProperties |
Specifies the properties |
| FeaturesetVersionBackfillRequestSparkConfiguration |
Specifies the spark compute settings |
| FeaturesetVersionBackfillRequestTags |
Specifies the tags |
| FeaturesetVersionBackfillResponse |
Response payload for creating a backfill request for a given feature set version |
| FeaturesetVersionProperties |
DTO object representing feature set version |
| FeaturesetVersionResourceArmPaginatedResult |
A paginated list of FeaturesetVersion entities. |
| FeaturestoreEntityContainer |
Azure Resource Manager resource envelope. |
| FeaturestoreEntityContainerProperties |
DTO object representing feature entity |
| FeaturestoreEntityContainerResourceArmPaginatedResult |
A paginated list of FeaturestoreEntityContainer entities. |
| FeaturestoreEntityVersion |
Azure Resource Manager resource envelope. |
| FeaturestoreEntityVersionProperties |
DTO object representing feature entity version |
| FeaturestoreEntityVersionResourceArmPaginatedResult |
A paginated list of FeaturestoreEntityVersion entities. |
| FeatureStoreSettings |
Settings for feature store type workspace. |
| FeatureSubset | |
| FeatureWindow |
Specifies the feature window |
| FeaturizationSettings |
Featurization Configuration. |
| FixedInputData |
Fixed input data definition. |
| FlavorData |
Model flavor-specific data. |
| FlavorData1 | |
| ForecastHorizon |
The desired maximum forecast horizon in units of time-series frequency. |
| Forecasting |
Forecasting task in AutoML Table vertical. |
| ForecastingSettings |
Forecasting specific parameters. |
| ForecastingTrainingSettings |
Forecasting Training related configuration. |
| FqdnEndpoint | |
| FqdnEndpointDetail | |
| FqdnEndpoints | |
| FqdnEndpointsProperties | |
| FqdnOutboundRule |
FQDN Outbound Rule for the managed network of a machine learning workspace. |
| GetBlobReferenceForConsumptionDto | |
| GetBlobReferenceSasRequestDto |
BlobReferenceSASRequest for getBlobReferenceSAS API |
| GetBlobReferenceSasResponseDto |
BlobReferenceSASResponse for getBlobReferenceSAS API |
| GridSamplingAlgorithm |
Defines a Sampling Algorithm that exhaustively generates every value combination in the space |
| HdInsight |
A HDInsight compute. |
| HdInsightProperties |
HDInsight compute properties |
| HdInsightSchema | |
| IdAssetReference |
Reference to an asset via its ARM resource ID. |
| IdentityConfiguration |
Base definition for identity configuration. |
| IdentityForCmk |
Identity that will be used to access key vault for encryption at rest |
| IdleShutdownSetting |
Stops compute instance after user defined period of inactivity. |
| Image |
Describes the Image Specifications |
| ImageClassification |
Image Classification. Multi-class image classification is used when an image is classified with only a single label from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'. |
| ImageClassificationBase | |
| 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. Some examples are: |
| ImageModelDistributionSettingsClassification |
Distribution expressions to sweep over values of model settings. Some examples are: |
| ImageModelDistributionSettingsObjectDetection |
Distribution expressions to sweep over values of model settings. Some examples are: |
| ImageModelSettings |
Settings used for training the model. For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models. |
| ImageModelSettingsClassification |
Settings used for training the model. For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models. |
| ImageModelSettingsObjectDetection |
Settings used for training the model. For more information on the available settings please visit the official documentation: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models. |
| ImageObjectDetection |
Image Object Detection. Object detection is used to identify objects in an image and locate each object with a bounding box e.g. locate all dogs and cats in an image and draw a bounding box around each. |
| ImageObjectDetectionBase | |
| ImageSweepSettings |
Model sweeping and hyperparameter sweeping related settings. |
| ImageVertical |
Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation. |
| IndexColumn |
DTO object representing index column |
| InferenceContainerProperties | |
| InstanceResourceSchema |
Resource requests/limits for this instance type |
| InstanceTypeSchema |
Instance type schema. |
| InstanceTypeSchemaNodeSelector |
Node Selector |
| InstanceTypeSchemaResources |
Resource requests/limits for this instance type |
| JobBase |
Azure Resource Manager resource envelope. |
| JobBaseProperties |
Base definition for a job. |
| JobBaseResourceArmPaginatedResult |
A paginated list of JobBase entities. |
| JobBaseServices |
List of JobEndpoints. For local jobs, a job endpoint will have an endpoint value of FileStreamObject. |
| JobInput |
Command job definition. |
| JobLimits | |
| JobOutput |
Job output definition container information on where to find job output/logs. |
| JobResourceConfiguration | |
| JobScheduleAction | |
| JobService |
Job endpoint definition |
| JobServiceProperties |
Additional properties to set on the endpoint. |
| Kubernetes |
A Machine Learning compute based on Kubernetes Compute. |
| KubernetesOnlineDeployment |
Properties specific to a KubernetesOnlineDeployment. |
| KubernetesProperties |
Kubernetes properties |
| KubernetesPropertiesInstanceTypes |
Instance Type Schema |
| KubernetesSchema |
Kubernetes Compute Schema |
| LakeHouseArtifact | |
| ListAmlUserFeatureResult |
The List Aml user feature operation response. |
| ListNotebookKeysResult | |
| ListStorageAccountKeysResult | |
| ListUsagesResult |
The List Usages operation response. |
| ListWorkspaceKeysResult | |
| ListWorkspaceQuotas |
The List WorkspaceQuotasByVMFamily operation response. |
| LiteralJobInput |
Literal input type. |
| ManagedComputeIdentity |
Managed compute identity definition. |
| ManagedIdentity |
Managed identity configuration. |
| ManagedIdentityAuthTypeWorkspaceConnectionProperties | |
| ManagedIdentityCredential |
Credential for user managed identity |
| ManagedNetworkProvisionOptions |
Managed Network Provisioning options for managed network of a machine learning workspace. |
| ManagedNetworkProvisionStatus |
Status of the Provisioning for the managed network of a machine learning workspace. |
| ManagedNetworkSettings |
Managed Network settings for a machine learning workspace. |
| ManagedNetworkSettingsOutboundRules | |
| ManagedOnlineDeployment |
Properties specific to a ManagedOnlineDeployment. |
| MarketplacePlan | |
| MarketplaceSubscription |
Azure Resource Manager resource envelope. |
| MarketplaceSubscriptionProperties | |
| MarketplaceSubscriptionResourceArmPaginatedResult |
A paginated list of MarketplaceSubscription entities. |
| MaterializationComputeResource |
DTO object representing compute resource |
| MaterializationSettings | |
| MaterializationSettingsSparkConfiguration |
Specifies the spark compute settings |
| MedianStoppingPolicy |
Defines an early termination policy based on running averages of the primary metric of all runs |
| MlFlowModelJobInput | |
| MlFlowModelJobOutput | |
| MlTableData |
MLTable data definition |
| MlTableJobInput | |
| MlTableJobOutput | |
| ModelContainer |
Azure Resource Manager resource envelope. |
| ModelContainerProperties | |
| ModelContainerResourceArmPaginatedResult |
A paginated list of ModelContainer entities. |
| ModelSettings | |
| ModelVersion |
Azure Resource Manager resource envelope. |
| ModelVersionFlavors |
Mapping of model flavors to their properties. |
| ModelVersionProperties |
Model asset version details. |
| ModelVersionResourceArmPaginatedResult |
A paginated list of ModelVersion entities. |
| MonitorComputeConfigurationBase |
Monitor compute configuration base definition. |
| MonitorComputeIdentityBase |
Monitor compute identity base definition. |
| MonitorDefinition | |
| MonitorDefinitionSignals |
[Required] The signals to monitor. |
| MonitorEmailNotificationSettings | |
| MonitoringFeatureFilterBase | |
| MonitoringInputDataBase |
Monitoring input data base definition. |
| MonitoringInputDataBaseColumns |
Mapping of column names to special uses. |
| MonitoringSignalBase | |
| MonitoringSignalBaseProperties |
Property dictionary. Properties can be added, but not removed or altered. |
| MonitoringTarget |
Monitoring target definition. |
| MonitoringThreshold | |
| MonitorNotificationSettings | |
| MonitorServerlessSparkCompute |
Monitor serverless spark compute definition. |
| Mpi |
MPI distribution configuration. |
| NCrossValidations |
N-Cross validations value. |
| NlpVertical |
Abstract class for NLP related AutoML tasks. NLP - Natural Language Processing. |
| NlpVerticalFeaturizationSettings | |
| NlpVerticalLimitSettings |
Job execution constraints. |
| Nodes |
Abstract Nodes definition |
| NodeStateCounts |
Counts of various compute node states on the amlCompute. |
| NoneAuthTypeWorkspaceConnectionProperties | |
| NoneDatastoreCredentials |
Empty/none datastore credentials. |
| NotebookAccessTokenResult | |
| NotebookPreparationError | |
| NotebookResourceInfo | |
| NotificationSetting |
Configuration for notification. |
| NotificationSettingWebhooks |
Send webhook callback to a service. Key is a user-provided name for the webhook. |
| NumericalDataDriftMetricThreshold | |
| NumericalDataQualityMetricThreshold | |
| NumericalPredictionDriftMetricThreshold | |
| OAuth2AuthTypeWorkspaceConnectionProperties | |
| Objective |
Optimization objective. |
| OneLakeArtifact |
OneLake artifact (data source) configuration. |
| OneLakeDatastore |
OneLake (Trident) datastore configuration. |
| OnlineDeployment | |
| OnlineDeploymentProperties | |
| OnlineDeploymentTrackedResourceArmPaginatedResult |
A paginated list of OnlineDeployment entities. |
| OnlineEndpoint | |
| OnlineEndpointMirrorTraffic |
Percentage of traffic to be mirrored to each deployment without using returned scoring. Traffic values need to sum to utmost 50. |
| OnlineEndpointProperties |
Online endpoint configuration |
| OnlineEndpointTrackedResourceArmPaginatedResult |
A paginated list of OnlineEndpoint entities. |
| OnlineEndpointTraffic |
Percentage of traffic from endpoint to divert to each deployment. Traffic values need to sum to 100. |
| OnlineRequestSettings |
Online deployment scoring requests configuration. |
| OnlineScaleSettings |
Online deployment scaling configuration. |
| OutboundRule |
Outbound Rule for the managed network of a machine learning workspace. |
| OutboundRuleBasicResource |
Outbound Rule Basic Resource for the managed network of a machine learning workspace. |
| OutboundRuleListResult |
List of outbound rules for the managed network of a machine learning workspace. |
| OutputPathAssetReference |
Reference to an asset via its path in a job output. |
| PaginatedComputeResourcesList |
Paginated list of Machine Learning compute objects wrapped in ARM resource envelope. |
| PartialBatchDeployment |
Mutable batch inference settings per deployment. |
| PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties |
Strictly used in update requests. |
| PartialBatchDeploymentPartialMinimalTrackedResourceWithPropertiesTags |
Resource tags. |
| PartialManagedServiceIdentity |
Managed service identity (system assigned and/or user assigned identities) |
| PartialManagedServiceIdentityUserAssignedIdentities |
The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. |
| PartialMinimalTrackedResource |
Strictly used in update requests. |
| PartialMinimalTrackedResourceTags |
Resource tags. |
| PartialMinimalTrackedResourceWithIdentity |
Strictly used in update requests. |
| PartialMinimalTrackedResourceWithSku |
Strictly used in update requests. |
| PartialMinimalTrackedResourceWithSkuAndIdentity |
Strictly used in update requests. |
| PartialRegistryPartialTrackedResource |
Strictly used in update requests. |
| PartialRegistryPartialTrackedResourceTags |
Resource tags. |
| PartialSku |
Common SKU definition. |
| Password | |
| PatAuthTypeWorkspaceConnectionProperties | |
| PendingUploadCredentialDto | |
| PendingUploadRequestDto | |
| PendingUploadResponseDto | |
| PersonalComputeInstanceSettings |
Settings for a personal compute instance. |
| PipelineJob |
Pipeline Job definition: defines generic to MFE attributes. |
| PipelineJobInputs |
Inputs for the pipeline job. |
| PipelineJobJobs |
Jobs construct the Pipeline Job. |
| PipelineJobOutputs |
Outputs for the pipeline job |
| PredictionDriftMetricThresholdBase | |
| PredictionDriftMonitoringSignal | |
| PredictionDriftMonitoringSignalFeatureDataTypeOverride |
A dictionary that maps feature names to their respective data types. |
| PrivateEndpointConnection |
The Private Endpoint Connection resource. |
| PrivateEndpointConnectionListResult |
List of private endpoint connection associated with the specified workspace |
| PrivateEndpointConnectionProperties |
Properties of the PrivateEndpointConnectProperties. |
| PrivateEndpointConnectionTags |
Contains resource tags defined as key/value pairs. |
| PrivateEndpointDestination |
Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace. |
| PrivateEndpointOutboundRule |
Private Endpoint Outbound Rule for the managed network of a machine learning workspace. |
| PrivateEndpointResource |
The PE network resource that is linked to this PE connection. |
| PrivateLinkResource |
A private link resource |
| PrivateLinkResourceListResult |
A list of private link resources |
| PrivateLinkResourceProperties |
Properties of a private link resource. |
| PrivateLinkResourceTags |
Contains resource tags defined as key/value pairs. |
| PrivateLinkServiceConnectionState |
A collection of information about the state of the connection between service consumer and provider. |
| ProbeSettings |
Deployment container liveness/readiness probe configuration. |
| PyTorch |
PyTorch distribution configuration. |
| QueueSettings | |
| QuotaBaseProperties |
The properties for Quota update or retrieval. |
| QuotaUpdateParameters |
Quota update parameters. |
| RandomSamplingAlgorithm |
Defines a Sampling Algorithm that generates values randomly |
| Recurrence |
The workflow trigger recurrence for ComputeStartStop schedule type. |
| RecurrenceSchedule | |
| RecurrenceTrigger | |
| RegenerateEndpointKeysRequest | |
| Registry | |
| RegistryListCredentialsResult | |
| RegistryPartialManagedServiceIdentity |
Managed service identity (system assigned and/or user assigned identities) |
| RegistryPrivateEndpointConnection |
Private endpoint connection definition. |
| RegistryPrivateEndpointConnectionProperties |
Properties of the Private Endpoint Connection |
| RegistryPrivateLinkServiceConnectionState |
The connection state. |
| RegistryProperties |
Details of the Registry |
| RegistryRegionArmDetails |
Details for each region the registry is in |
| RegistryTrackedResourceArmPaginatedResult |
A paginated list of Registry entities. |
| Regression |
Regression task in AutoML Table vertical. |
| RegressionTrainingSettings |
Regression Training related configuration. |
| RequestLogging | |
| ResourceBase | |
| ResourceBaseProperties |
The asset property dictionary. |
| ResourceBaseTags |
Tag dictionary. Tags can be added, removed, and updated. |
| ResourceConfiguration | |
| ResourceConfigurationProperties |
Additional properties bag. |
| ResourceId |
Represents a resource ID. For example, for a subnet, it is the resource URL for the subnet. |
| ResourceName |
The Resource Name. |
| ResourceQuota |
The quota assigned to a resource. |
| RollingInputData |
Rolling input data definition. |
| Route | |
| SamplingAlgorithm |
The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm |
| SasAuthTypeWorkspaceConnectionProperties | |
| SasCredential |
Access with full SAS uri |
| SasCredentialDto | |
| SasDatastoreCredentials |
SAS datastore credentials configuration. |
| SasDatastoreSecrets |
Datastore SAS secrets. |
| ScaleSettings |
scale settings for AML Compute |
| ScaleSettingsInformation |
Desired scale settings for the amlCompute. |
| Schedule |
Azure Resource Manager resource envelope. |
| ScheduleActionBase | |
| ScheduleBase | |
| ScheduleProperties |
Base definition of a schedule |
| ScheduleResourceArmPaginatedResult |
A paginated list of Schedule entities. |
| ScriptReference |
Script reference |
| ScriptsToExecute |
Customized setup scripts |
| Seasonality |
Forecasting seasonality. |
| ServerlessComputeSettings | |
| ServerlessEndpoint | |
| ServerlessEndpointProperties | |
| ServerlessEndpointTrackedResourceArmPaginatedResult |
A paginated list of ServerlessEndpoint entities. |
| ServerlessInferenceEndpoint | |
| ServerlessInferenceEndpointHeaders |
Specifies any required headers to target this serverless endpoint. |
| ServiceManagedResourcesSettings | |
| ServicePrincipalAuthTypeWorkspaceConnectionProperties | |
| ServicePrincipalDatastoreCredentials |
Service Principal datastore credentials configuration. |
| ServicePrincipalDatastoreSecrets |
Datastore Service Principal secrets. |
| ServiceTagDestination |
Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace. |
| ServiceTagOutboundRule |
Service Tag Outbound Rule for the managed network of a machine learning workspace. |
| SetupScripts |
Details of customized scripts to execute for setting up the cluster. |
| SharedPrivateLinkResource | |
| SharedPrivateLinkResourceProperty |
Properties of a shared private link resource. |
| SkuCapacity |
SKU capacity information |
| SkuResource |
Fulfills ARM Contract requirement to list all available SKUS for a resource. |
| SkuResourceArmPaginatedResult |
A paginated list of SkuResource entities. |
| SkuSetting |
SkuSetting fulfills the need for stripped down SKU info in ARM contract. |
| SparkJob |
Spark job definition. |
| SparkJobConf |
Spark configured properties. |
| SparkJobEntry |
Spark job entry point definition. |
| SparkJobEnvironmentVariables |
Environment variables included in the job. |
| SparkJobInputs |
Mapping of input data bindings used in the job. |
| SparkJobOutputs |
Mapping of output data bindings used in the job. |
| SparkJobPythonEntry | |
| SparkJobScalaEntry | |
| SparkResourceConfiguration | |
| SslConfiguration |
The ssl configuration for scoring |
| StackEnsembleSettings |
Advances setting to customize StackEnsemble run. |
| StaticInputData |
Static input data definition. |
| StorageAccountDetails |
Details of storage account to be used for the Registry |
| SweepJob |
Sweep job definition. |
| SweepJobInputs |
Mapping of input data bindings used in the job. |
| SweepJobLimits |
Sweep Job limit class. |
| SweepJobOutputs |
Mapping of output data bindings used in the job. |
| SynapseSpark |
A SynapseSpark compute. |
| SynapseSparkProperties | |
| SystemCreatedAcrAccount | |
| SystemCreatedStorageAccount | |
| SystemService |
A system service running on a compute. |
| TableVertical |
Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting. |
| TableVerticalFeaturizationSettings |
Featurization Configuration. |
| TableVerticalFeaturizationSettingsColumnNameAndTypes |
Dictionary of column name and its type (int, float, string, datetime etc). |
| TableVerticalFeaturizationSettingsTransformerParams |
User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor. |
| TableVerticalLimitSettings |
Job execution constraints. |
| TargetLags |
The number of past periods to lag from the target column. |
| TargetRollingWindowSize |
Forecasting target rolling window size. |
| TargetUtilizationScaleSettings | |
| TensorFlow |
TensorFlow distribution configuration. |
| TextClassification |
Text Classification task in AutoML NLP vertical. NLP - Natural Language Processing. |
| TextClassificationMultilabel |
Text Classification Multilabel task in AutoML NLP vertical. NLP - Natural Language Processing. |
| TextNer |
Text-NER task in AutoML NLP vertical. NER - Named Entity Recognition. NLP - Natural Language Processing. |
| TmpfsOptions |
Describes the tmpfs options for the container |
| TopNFeaturesByAttribution | |
| TrainingSettings |
Training related configuration. |
| TrialComponent |
Trial component definition. |
| TrialComponentEnvironmentVariables |
Environment variables included in the job. |
| TriggerBase | |
| TritonModelJobInput | |
| TritonModelJobOutput | |
| TruncationSelectionPolicy |
Defines an early termination policy that cancels a given percentage of runs at each evaluation interval. |
| UpdateWorkspaceQuotas |
The properties for update Quota response. |
| UpdateWorkspaceQuotasResult |
The result of update workspace quota. |
| UriFileDataVersion |
uri-file data version entity |
| UriFileJobInput | |
| UriFileJobOutput | |
| UriFolderDataVersion |
uri-folder data version entity |
| UriFolderJobInput | |
| UriFolderJobOutput | |
| Usage |
Describes AML Resource Usage. |
| UsageName |
The Usage Names. |
| UserAccountCredentials |
Settings for user account that gets created on each on the nodes of a compute. |
| UserCreatedAcrAccount | |
| UserCreatedStorageAccount | |
| UserIdentity |
User identity configuration. |
| UsernamePasswordAuthTypeWorkspaceConnectionProperties | |
| VirtualMachine |
A Machine Learning compute based on Azure Virtual Machines. |
| VirtualMachineImage |
Virtual Machine image for Windows AML Compute |
| VirtualMachineSchema | |
| VirtualMachineSchemaProperties | |
| VirtualMachineSecrets |
Secrets related to a Machine Learning compute based on AKS. |
| VirtualMachineSecretsSchema | |
| VirtualMachineSize |
Describes the properties of a VM size. |
| VirtualMachineSizeListResult |
The List Virtual Machine size operation response. |
| VirtualMachineSshCredentials |
Admin credentials for virtual machine |
| VolumeDefinition |
Describes the volume configuration for the container |
| VolumeOptions |
Describes the volume options for the container |
| Webhook |
Webhook base |
| Workspace |
An object that represents a machine learning workspace. |
| WorkspaceConnectionAccessKey | |
| WorkspaceConnectionApiKey |
Api key object for workspace connection credential. |
| WorkspaceConnectionManagedIdentity | |
| WorkspaceConnectionOAuth2 |
ClientId and ClientSecret are required. Other properties are optional depending on each OAuth2 provider's implementation. |
| WorkspaceConnectionPersonalAccessToken | |
| WorkspaceConnectionPropertiesV2 | |
| WorkspaceConnectionPropertiesV2BasicResource | |
| WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult | |
| WorkspaceConnectionPropertiesV2Metadata |
Store user metadata for this connection |
| WorkspaceConnectionServicePrincipal | |
| WorkspaceConnectionSharedAccessSignature | |
| WorkspaceConnectionUsernamePassword | |
| WorkspaceHubConfig |
WorkspaceHub's configuration object. |
| WorkspaceListResult |
The result of a request to list machine learning workspaces. |
| WorkspaceProperties |
The properties of a machine learning workspace. |
| WorkspacePropertiesUpdateParameters |
The parameters for updating the properties of a machine learning workspace. |
| WorkspaceTags |
Contains resource tags defined as key/value pairs. |
| WorkspaceUpdateParameters |
The parameters for updating a machine learning workspace. |
| WorkspaceUpdateParametersTags |
The resource tags for the machine learning workspace. |