Index (Azure SDK for Java Reference Documentation)

A B C D E F G H I J K L M N O P Q R S T U V W X
All Classes All Packages

A

AADTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value AADToken for EndpointAuthMode.
accessToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the accessToken property: Access token for endpoint authentication.
accessToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the accessToken property: The accessToken property.
accessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the accessToken property: Access token for endpoint authentication.
accessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the accessToken property: The accessToken property.
ACCOUNT_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value AccountKey for CredentialsType.
ACCOUNT_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value AccountKey for SecretsType.
AccountKeyDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Account key datastore credentials configuration.
AccountKeyDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials
AccountKeyDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore account key secrets.
AccountKeyDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the accountName property: Storage account name.
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the accountName property: [Required] Storage account name.
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the accountName property: [Required] Storage account name.
ACCURACY - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value Accuracy for ClassificationMultilabelPrimaryMetrics.
ACCURACY - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value Accuracy for ClassificationPrimaryMetrics.
action() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the action property: The compute power action.
actionsRequired() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the actionsRequired property: A message indicating if changes on the service provider require any updates on the consumer.
ACTIVE_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value ActiveOnly for ListViewType.
ADAM - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Adam for StochasticOptimizer.
ADAMW - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Adamw for StochasticOptimizer.
address() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the address property: Public IP address of the master node of the cluster.
address() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the address property: Public IP address of the virtual machine.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the administratorAccount property: Admin credentials for master node of the cluster.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the administratorAccount property: Admin credentials for virtual machine.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Get the administratorAccount property: Admin credentials for virtual machine.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Get the administratorAccount property: Admin credentials for virtual machine.
adminKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
adminKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
adminPublicKey() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the adminPublicKey property: Specifies the SSH rsa public key file as a string.
adminUsername() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the adminUsername property: Describes the admin user name.
adminUsername() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUsername property: User name.
adminUserPassword() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUserPassword property: Password.
adminUserSshPublicKey() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUserSshPublicKey property: SSH public key.
advancedSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the advancedSettings property: Settings for advanced scenarios.
agentCount() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the agentCount property: Number of agents.
agentVmSize() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the agentVmSize property: Agent virtual machine size.
Aks - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on AKS.
Aks() - Constructor for class com.azure.resourcemanager.machinelearning.models.Aks
AKS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value AKS for ComputeType.
AksComputeSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on AKS.
AksComputeSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets
AksComputeSecretsProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of AksComputeSecrets.
AksComputeSecretsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties
aksNetworkingConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the aksNetworkingConfiguration property: AKS networking configuration for vnet.
AksNetworkingConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Advance configuration for AKS networking.
AksNetworkingConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration
AksSchema - Class in com.azure.resourcemanager.machinelearning.models: The AksSchema model.
AksSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksSchema
AksSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: AKS properties.
AksSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties
ALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value All for ListViewType.
allocationState() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the allocationState property: Allocation state.
AllocationState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for AllocationState.
AllocationState() - Constructor for class com.azure.resourcemanager.machinelearning.models.AllocationState
allocationStateTransitionTime() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the allocationStateTransitionTime property: Allocation state transition time.
allowedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the allowedModels property: Allowed models for classification task.
allowedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the allowedModels property: Allowed models for forecasting task.
allowedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the allowedModels property: Allowed models for regression task.
allowPublicAccessWhenBehindVnet() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
AML_COMPUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value AmlCompute for ComputeType.
AmlCompute - Class in com.azure.resourcemanager.machinelearning.models: An Azure Machine Learning compute.
AmlCompute() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlCompute
AmlComputeNodeInformation - Class in com.azure.resourcemanager.machinelearning.models: Compute node information related to a AmlCompute.
AmlComputeNodeInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation
AmlComputeNodesInformation - Class in com.azure.resourcemanager.machinelearning.models: Result of AmlCompute Nodes.
AmlComputeNodesInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation
AmlComputeProperties - Class in com.azure.resourcemanager.machinelearning.models: AML Compute properties.
AmlComputeProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties
AmlComputeSchema - Class in com.azure.resourcemanager.machinelearning.models: Properties(top level) of AmlCompute.
AmlComputeSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema
AmlOperation - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of AmlOperation.
AmlOperationDisplay - Class in com.azure.resourcemanager.machinelearning.models: Display name of operation.
AmlOperationDisplay() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay
AmlOperationInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Machine Learning workspace REST API operation.
AmlOperationInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner
AmlOperationListResult - Class in com.azure.resourcemanager.machinelearning.models: An array of operations supported by the resource provider.
AmlOperationListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlOperationListResult
AmlToken - Class in com.azure.resourcemanager.machinelearning.models: AML Token identity configuration.
AmlToken() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlToken
AMLTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value AMLToken for EndpointAuthMode.
AMLTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value AMLToken for IdentityConfigurationType.
AmlUserFeature - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of AmlUserFeature.
AmlUserFeatureInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Features enabled for a workspace.
AmlUserFeatureInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner
amlWorkspaceLocation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the amlWorkspaceLocation property: Region of the AML workspace in the id.
amsGradient() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
amsGradient() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
APPEND_ROW - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Static value AppendRow for BatchOutputAction.
appInsightsEnabled() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the appInsightsEnabled property: If true, enables Application Insights logging.
appInsightsInstrumentationKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the appInsightsInstrumentationKey property: The appInsightsInstrumentationKey property.
appInsightsInstrumentationKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the appInsightsInstrumentationKey property: The appInsightsInstrumentationKey property.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the applicationInsights property: Setting for diagnosing dependent application insights.
applicationInsights() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsightsResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the applicationInsightsResults property: The applicationInsightsResults property.
applications() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the applications property: Describes available applications and their endpoints on this ComputeInstance.
applicationSharingPolicy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the applicationSharingPolicy property: Sharing policy for applications on this compute instance Policy for sharing applications on this compute instance among users of parent workspace.
ApplicationSharingPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ApplicationSharingPolicy.
ApplicationSharingPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.Update: Executes the update request.
APPROVED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Approved for PrivateEndpointServiceConnectionStatus.
ARCHIVED_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value ArchivedOnly for ListViewType.
ARIMAX - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Arimax for ForecastingModels.
AssetBase - Class in com.azure.resourcemanager.machinelearning.models: The AssetBase model.
AssetBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetBase
AssetContainer - Class in com.azure.resourcemanager.machinelearning.models: The AssetContainer model.
AssetContainer() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetContainer
assetId() - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Get the assetId property: [Required] ARM resource ID of the asset.
assetId() - Method in class com.azure.resourcemanager.machinelearning.models.PartialIdAssetReference: Get the assetId property: ARM resource ID of the asset.
AssetJobInput - Class in com.azure.resourcemanager.machinelearning.models: Asset input type.
AssetJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetJobInput
AssetJobOutput - Class in com.azure.resourcemanager.machinelearning.models: Asset output type.
AssetJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetJobOutput
AssetReferenceBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition for asset references.
AssetReferenceBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase
assignedUser() - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Get the assignedUser property: A user explicitly assigned to a personal compute instance.
AssignedUser - Class in com.azure.resourcemanager.machinelearning.models: A user that can be assigned to a compute instance.
AssignedUser() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssignedUser
AUCWEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value AUCWeighted for ClassificationMultilabelPrimaryMetrics.
AUCWEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value AUCWeighted for ClassificationPrimaryMetrics.
augmentations() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the augmentations property: Settings for using Augmentations.
augmentations() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the augmentations property: Settings for using Augmentations.
authenticate(TokenCredential, AzureProfile) - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Creates an instance of Machine Learning service API entry point.
authenticate(TokenCredential, AzureProfile) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Creates an instance of Machine Learning service API entry point.
authenticate(HttpPipeline, AzureProfile) - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Creates an instance of Machine Learning service API entry point.
authMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
authMode() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
authorityUrl() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the authorityUrl property: Authority URL used for authentication.
authorityUrl() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the authorityUrl property: Authority URL used for authentication.
authType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the authType property: Authorization type of the workspace connection.
authType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Get the authType property: Authorization type of the workspace connection.
authType() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the authType property: Authorization type of the workspace connection.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Static value Auto for FeatureLags.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Auto for FeaturizationMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Static value Auto for ForecastHorizonMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Static value Auto for NCrossValidationsMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Static value Auto for SeasonalityMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Auto for ShortSeriesHandlingConfiguration.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus: Static value Auto for SslConfigurationStatus.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Static value Auto for TargetLagsMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Static value Auto for TargetRollingWindowSizeMode.
AUTO_ARIMA - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value AutoArima for ForecastingModels.
AUTO_ML - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value AutoML for JobType.
AutoForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: Forecast horizon determined automatically by system.
AutoForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon
AUTOMATIC - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value Automatic for SkuScaleType.
AutoMLJob - Class in com.azure.resourcemanager.machinelearning.models: AutoMLJob class.
AutoMLJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoMLJob
AutoMLVertical - Class in com.azure.resourcemanager.machinelearning.models: AutoML vertical class.
AutoMLVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoMLVertical
AutoNCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations determined automatically.
AutoNCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations
autoPauseProperties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the autoPauseProperties property: Auto pause properties.
AutoPauseProperties - Class in com.azure.resourcemanager.machinelearning.models: Auto pause properties.
AutoPauseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties
autosave() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the autosave property: Auto save settings.
Autosave - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Autosave.
Autosave() - Constructor for class com.azure.resourcemanager.machinelearning.models.Autosave
autoScaleProperties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the autoScaleProperties property: Auto scale properties.
AutoScaleProperties - Class in com.azure.resourcemanager.machinelearning.models: Auto scale properties.
AutoScaleProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties
AutoSeasonality - Class in com.azure.resourcemanager.machinelearning.models: The AutoSeasonality model.
AutoSeasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoSeasonality
AutoTargetLags - Class in com.azure.resourcemanager.machinelearning.models: The AutoTargetLags model.
AutoTargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoTargetLags
AutoTargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: Target lags rolling window determined automatically.
AutoTargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize
AVERAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Average for ForecastingModels.
AVERAGE_PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value AveragePrecisionScoreWeighted for ClassificationMultilabelPrimaryMetrics.
AVERAGE_PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value AveragePrecisionScoreWeighted for ClassificationPrimaryMetrics.
AZURE_BLOB - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureBlob for DatastoreType.
AZURE_DATA_LAKE_GEN1 - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureDataLakeGen1 for DatastoreType.
AZURE_DATA_LAKE_GEN2 - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureDataLakeGen2 for DatastoreType.
AZURE_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureFile for DatastoreType.
AZURE_MLCOMPUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value AzureMLCompute for EndpointComputeType.
AzureBlobDatastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Blob datastore configuration.
AzureBlobDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore
AzureDataLakeGen1Datastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Data Lake Gen1 datastore configuration.
AzureDataLakeGen1Datastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore
AzureDataLakeGen2Datastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Data Lake Gen2 datastore configuration.
AzureDataLakeGen2Datastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore
AzureFileDatastore - Class in com.azure.resourcemanager.machinelearning.models: Azure File datastore configuration.
AzureFileDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore
AzureMachineLearningWorkspaces - Interface in com.azure.resourcemanager.machinelearning.fluent: The interface for AzureMachineLearningWorkspaces class.

B

BANDIT - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value Bandit for EarlyTerminationPolicyType.
BanditPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.
BanditPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.BanditPolicy
BASIC - com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Basic.
BatchDeploymentData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of BatchDeploymentData.
BatchDeploymentData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the BatchDeploymentData definition.
BatchDeploymentData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchDeploymentData definition stages.
BatchDeploymentData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the BatchDeploymentData definition.
BatchDeploymentData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
BatchDeploymentData.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify identity.
BatchDeploymentData.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify kind.
BatchDeploymentData.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify location.
BatchDeploymentData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify parent resource.
BatchDeploymentData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify properties.
BatchDeploymentData.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify sku.
BatchDeploymentData.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData definition allowing to specify tags.
BatchDeploymentData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for BatchDeploymentData update.
BatchDeploymentData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchDeploymentData update stages.
BatchDeploymentData.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData update allowing to specify identity.
BatchDeploymentData.UpdateStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData update allowing to specify kind.
BatchDeploymentData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData update allowing to specify properties.
BatchDeploymentData.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData update allowing to specify sku.
BatchDeploymentData.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeploymentData update allowing to specify tags.
BatchDeploymentDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The BatchDeploymentData model.
BatchDeploymentDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner
BatchDeploymentDetails - Class in com.azure.resourcemanager.machinelearning.models: Batch inference settings per deployment.
BatchDeploymentDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails
batchDeployments() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of BatchDeployments.
BatchDeployments - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of BatchDeployments.
BatchDeploymentsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in BatchDeploymentsClient.
BatchDeploymentTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of BatchDeployment entities.
BatchDeploymentTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult
BatchEndpointData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of BatchEndpointData.
BatchEndpointData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the BatchEndpointData definition.
BatchEndpointData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchEndpointData definition stages.
BatchEndpointData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the BatchEndpointData definition.
BatchEndpointData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
BatchEndpointData.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify identity.
BatchEndpointData.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify kind.
BatchEndpointData.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify location.
BatchEndpointData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify parent resource.
BatchEndpointData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify properties.
BatchEndpointData.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify sku.
BatchEndpointData.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData definition allowing to specify tags.
BatchEndpointData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for BatchEndpointData update.
BatchEndpointData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchEndpointData update stages.
BatchEndpointData.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData update allowing to specify identity.
BatchEndpointData.UpdateStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData update allowing to specify kind.
BatchEndpointData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData update allowing to specify properties.
BatchEndpointData.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData update allowing to specify sku.
BatchEndpointData.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpointData update allowing to specify tags.
BatchEndpointDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The BatchEndpointData model.
BatchEndpointDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner
BatchEndpointDefaults - Class in com.azure.resourcemanager.machinelearning.models: Batch endpoint default values.
BatchEndpointDefaults() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults
BatchEndpointDetails - Class in com.azure.resourcemanager.machinelearning.models: Batch endpoint configuration.
BatchEndpointDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails
batchEndpoints() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of BatchEndpoints.
BatchEndpoints - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of BatchEndpoints.
BatchEndpointsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in BatchEndpointsClient.
BatchEndpointTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of BatchEndpoint entities.
BatchEndpointTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult
BatchLoggingLevel - Class in com.azure.resourcemanager.machinelearning.models: Defines values for BatchLoggingLevel.
BatchLoggingLevel() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel
BatchOutputAction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for BatchOutputAction.
BatchOutputAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchOutputAction
BatchRetrySettings - Class in com.azure.resourcemanager.machinelearning.models: Retry settings for a batch inference operation.
BatchRetrySettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings
BAYESIAN - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Bayesian for SamplingAlgorithmType.
BayesianSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that generates values based on previous values.
BayesianSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm
beginCreateOrUpdate(String, String, WorkspaceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
beginCreateOrUpdate(String, String, WorkspaceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
beginCreateOrUpdate(String, String, String, BatchEndpointDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, BatchEndpointDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, ComputeResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
beginCreateOrUpdate(String, String, String, ComputeResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
beginCreateOrUpdate(String, String, String, OnlineEndpointDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, OnlineEndpointDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, String, BatchDeploymentDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, BatchDeploymentDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, OnlineDeploymentDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, OnlineDeploymentDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
beginDelete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
beginDelete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
beginDelete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
beginDelete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
beginDiagnose(String, String, DiagnoseWorkspaceParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
beginDiagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
beginPrepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
beginPrepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRestart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
beginRestart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
beginResyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
beginResyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
beginStart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
beginStart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
beginStop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
beginStop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
beginUpdate(String, String, WorkspaceUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
beginUpdate(String, String, WorkspaceUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
beginUpdate(String, String, String, ClusterUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
beginUpdate(String, String, String, ClusterUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
beginUpdate(String, String, String, PartialBatchEndpointPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
beginUpdate(String, String, String, PartialBatchEndpointPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
beginUpdate(String, String, String, PartialOnlineEndpointPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
beginUpdate(String, String, String, PartialOnlineEndpointPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
beginUpdate(String, String, String, String, PartialBatchDeploymentPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
beginUpdate(String, String, String, String, PartialBatchDeploymentPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
beginUpdate(String, String, String, String, PartialOnlineDeploymentPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
beginUpdate(String, String, String, String, PartialOnlineDeploymentPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
BERNOULLI_NAIVE_BAYES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value BernoulliNaiveBayes for ClassificationModels.
beta1() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
beta1() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
beta2() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
beta2() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
billingCurrency() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the billingCurrency property: Billing currency Three lettered code specifying the currency of the VM price.
BillingCurrency - Class in com.azure.resourcemanager.machinelearning.models: Defines values for BillingCurrency.
BillingCurrency() - Constructor for class com.azure.resourcemanager.machinelearning.models.BillingCurrency
blockedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the blockedModels property: Blocked models for classification task.
blockedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the blockedModels property: Blocked models for forecasting task.
blockedModels() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the blockedModels property: Blocked models for regression task.
blockedTransformers() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the blockedTransformers property: These transformers shall not be used in featurization.
boxDetectionsPerImage() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
boxDetectionsPerImage() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
boxScoreThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
boxScoreThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
BRIDGE - Static variable in class com.azure.resourcemanager.machinelearning.models.Network: Static value Bridge for Network.
build() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the build property: Configuration settings for Docker build context.
BuildContext - Class in com.azure.resourcemanager.machinelearning.models: Configuration settings for Docker build context.
BuildContext() - Constructor for class com.azure.resourcemanager.machinelearning.models.BuildContext

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caching() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the caching property: Caching type of Data Disk.
Caching - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Caching.
Caching() - Constructor for class com.azure.resourcemanager.machinelearning.models.Caching
cancel() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Cancels a Job.
cancel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job.
cancel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Cancels a Job.
CANCEL_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value CancelRequested for JobStatus.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Canceled for DeploymentProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Canceled for EndpointProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Canceled for JobStatus.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Canceled for ProvisioningState.
cancelWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Cancels a Job.
cancelWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job.
cancelWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Cancels a Job.
capacity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the capacity property: Gets or sets the Sku Capacity.
capacity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
capacity() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
capacity() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the capacity property: Gets or sets the Sku Capacity.
category() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the category property: Category of the workspace connection.
category() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Get the category property: Category of the workspace connection.
category() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Get the category property: The category property.
category() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the category property: Category of the workspace connection.
cert() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the cert property: Cert data.
certificate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Get the certificate property: Service principal certificate.
CERTIFICATE - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value Certificate for CredentialsType.
CERTIFICATE - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value Certificate for SecretsType.
CertificateDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Certificate datastore credentials configuration.
CertificateDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials
CertificateDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore certificate secrets.
CertificateDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets
checkpointDatasetId() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointDatasetId property: FileDataset id for pretrained checkpoint(s) for incremental training.
checkpointFilename() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointFilename property: The pretrained checkpoint filename in FileDataset for incremental training.
checkpointFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointFrequency property: Frequency to store model checkpoints.
checkpointRunId() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
Classification - Class in com.azure.resourcemanager.machinelearning.models: Classification task in AutoML Table vertical.
Classification() - Constructor for class com.azure.resourcemanager.machinelearning.models.Classification
CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Classification for TaskType.
ClassificationModels - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ClassificationModels.
ClassificationModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationModels
ClassificationMultilabelPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ClassificationMultilabelPrimaryMetrics.
ClassificationMultilabelPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics
ClassificationPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ClassificationPrimaryMetrics.
ClassificationPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the clientId property: [Required] Service principal client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the clientId property: Specifies a user-assigned identity by client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the clientId property: [Required] Service principal client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Get the clientId property: The client ID of the assigned identity.
clientSecret() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Get the clientSecret property: Service principal secret.
clusterFqdn() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the clusterFqdn property: Cluster full qualified domain name.
clusterPurpose() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the clusterPurpose property: Intended usage of the cluster.
ClusterPurpose - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ClusterPurpose.
ClusterPurpose() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClusterPurpose
ClusterUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: AmlCompute update parameters.
ClusterUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters
ClusterUpdateProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: The properties of a amlCompute that need to be updated.
ClusterUpdateProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties
cname() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the cname property: CNAME of the cert.
COCO - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value Coco for ValidationMetricType.
COCO_VOC - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value CocoVoc for ValidationMetricType.
code() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the code property: Code for workspace setup error.
codeConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the codeConfiguration property: Code configuration for the endpoint deployment.
codeConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the codeConfiguration property: Code configuration for the endpoint deployment.
CodeConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Configuration for a scoring code asset.
CodeConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeConfiguration
CodeContainerData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of CodeContainerData.
CodeContainerData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the CodeContainerData definition.
CodeContainerData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeContainerData definition stages.
CodeContainerData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the CodeContainerData definition.
CodeContainerData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainerData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
CodeContainerData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainerData definition allowing to specify parent resource.
CodeContainerData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainerData definition allowing to specify properties.
CodeContainerData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for CodeContainerData update.
CodeContainerData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeContainerData update stages.
CodeContainerData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainerData update allowing to specify properties.
CodeContainerDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
CodeContainerDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner
CodeContainerDetails - Class in com.azure.resourcemanager.machinelearning.models: Container for code asset versions.
CodeContainerDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails
CodeContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of CodeContainer entities.
CodeContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult
codeContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of CodeContainers.
CodeContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of CodeContainers.
CodeContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in CodeContainersClient.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Get the codeId property: ARM resource ID of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the codeId property: ARM resource ID of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration: Get the codeId property: ARM resource ID of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the codeId property: ARM resource ID of the code asset.
codeUri() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Get the codeUri property: Uri where code is located.
CodeVersionData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of CodeVersionData.
CodeVersionData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the CodeVersionData definition.
CodeVersionData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeVersionData definition stages.
CodeVersionData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the CodeVersionData definition.
CodeVersionData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersionData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
CodeVersionData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersionData definition allowing to specify parent resource.
CodeVersionData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersionData definition allowing to specify properties.
CodeVersionData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for CodeVersionData update.
CodeVersionData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeVersionData update stages.
CodeVersionData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersionData update allowing to specify properties.
CodeVersionDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
CodeVersionDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner
CodeVersionDetails - Class in com.azure.resourcemanager.machinelearning.models: Code asset version details.
CodeVersionDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails
CodeVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of CodeVersion entities.
CodeVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult
codeVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of CodeVersions.
CodeVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of CodeVersions.
CodeVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in CodeVersionsClient.
collectionsThroughput() - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Get the collectionsThroughput property: The throughput of the collections in cosmosdb database.
columnNameAndTypes() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the columnNameAndTypes property: Dictionary of column name and its type (int, float, string, datetime etc).
ColumnTransformer - Class in com.azure.resourcemanager.machinelearning.models: Column transformer parameters.
ColumnTransformer() - Constructor for class com.azure.resourcemanager.machinelearning.models.ColumnTransformer
com.azure.resourcemanager.machinelearning - package com.azure.resourcemanager.machinelearning: Package containing the classes for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.fluent - package com.azure.resourcemanager.machinelearning.fluent: Package containing the service clients for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.fluent.models - package com.azure.resourcemanager.machinelearning.fluent.models: Package containing the inner data models for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.models - package com.azure.resourcemanager.machinelearning.models: Package containing the data models for AzureMachineLearningWorkspaces.
command() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the command property: [Required] The command to execute on startup of the job.
command() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the command property: [Required] The command to execute on startup of the job.
COMMAND - Static variable in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Static value Command for JobLimitsType.
COMMAND - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Command for JobType.
CommandJob - Class in com.azure.resourcemanager.machinelearning.models: Command job definition.
CommandJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.CommandJob
CommandJobLimits - Class in com.azure.resourcemanager.machinelearning.models: Command Job limit class.
CommandJobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.CommandJobLimits
COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Completed for JobStatus.
COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Completed for ProvisioningStatus.
ComponentContainerData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComponentContainerData.
ComponentContainerData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComponentContainerData definition.
ComponentContainerData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentContainerData definition stages.
ComponentContainerData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComponentContainerData definition.
ComponentContainerData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainerData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComponentContainerData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainerData definition allowing to specify parent resource.
ComponentContainerData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainerData definition allowing to specify properties.
ComponentContainerData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComponentContainerData update.
ComponentContainerData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentContainerData update stages.
ComponentContainerData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainerData update allowing to specify properties.
ComponentContainerDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ComponentContainerDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner
ComponentContainerDetails - Class in com.azure.resourcemanager.machinelearning.models: Component container definition.
ComponentContainerDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails
ComponentContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ComponentContainer entities.
ComponentContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult
componentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ComponentContainers.
ComponentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ComponentContainers.
ComponentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComponentContainersClient.
componentSpec() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Get the componentSpec property: Defines Component definition details.
ComponentVersionData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComponentVersionData.
ComponentVersionData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComponentVersionData definition.
ComponentVersionData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentVersionData definition stages.
ComponentVersionData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComponentVersionData definition.
ComponentVersionData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersionData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComponentVersionData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersionData definition allowing to specify parent resource.
ComponentVersionData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersionData definition allowing to specify properties.
ComponentVersionData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComponentVersionData update.
ComponentVersionData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentVersionData update stages.
ComponentVersionData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersionData update allowing to specify properties.
ComponentVersionDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ComponentVersionDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner
ComponentVersionDetails - Class in com.azure.resourcemanager.machinelearning.models: Definition of a component version: defines resources that span component types.
ComponentVersionDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails
ComponentVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ComponentVersion entities.
ComponentVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult
componentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ComponentVersions.
ComponentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ComponentVersions.
ComponentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComponentVersionsClient.
compute() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the compute property: Compute target for batch inference operation.
compute() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Get the compute property: ARM resource ID of the compute if it exists.
compute() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the compute property: Compute binding definition.
Compute - Class in com.azure.resourcemanager.machinelearning.models: Machine Learning compute object.
Compute() - Constructor for class com.azure.resourcemanager.machinelearning.models.Compute
COMPUTE_INSTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value ComputeInstance for ComputeType.
computeId() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the computeId property: ARM resource ID of the compute resource.
ComputeInstance - Class in com.azure.resourcemanager.machinelearning.models: An Azure Machine Learning compute instance.
ComputeInstance() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstance
ComputeInstanceApplication - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance application and its connectivity endpoint URI.
ComputeInstanceApplication() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication
computeInstanceAuthorizationType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the computeInstanceAuthorizationType property: Compute Instance Authorization type.
ComputeInstanceAuthorizationType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ComputeInstanceAuthorizationType.
ComputeInstanceAuthorizationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType
ComputeInstanceConnectivityEndpoints - Class in com.azure.resourcemanager.machinelearning.models: Defines all connectivity endpoints and properties for an ComputeInstance.
ComputeInstanceConnectivityEndpoints() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints
ComputeInstanceContainer - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance container.
ComputeInstanceContainer() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer
ComputeInstanceCreatedBy - Class in com.azure.resourcemanager.machinelearning.models: Describes information on user who created this ComputeInstance.
ComputeInstanceCreatedBy() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy
ComputeInstanceDataDisk - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance DataDisk.
ComputeInstanceDataDisk() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk
ComputeInstanceDataMount - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance DataMount.
ComputeInstanceDataMount() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount
ComputeInstanceEnvironmentInfo - Class in com.azure.resourcemanager.machinelearning.models: Environment information.
ComputeInstanceEnvironmentInfo() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo
ComputeInstanceLastOperation - Class in com.azure.resourcemanager.machinelearning.models: The last operation on ComputeInstance.
ComputeInstanceLastOperation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation
ComputeInstanceProperties - Class in com.azure.resourcemanager.machinelearning.models: Compute Instance properties.
ComputeInstanceProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties
ComputeInstanceSchema - Class in com.azure.resourcemanager.machinelearning.models: Properties(top level) of ComputeInstance.
ComputeInstanceSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema
ComputeInstanceSshSettings - Class in com.azure.resourcemanager.machinelearning.models: Specifies policy and settings for SSH access.
ComputeInstanceSshSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings
ComputeInstanceState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ComputeInstanceState.
ComputeInstanceState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState
ComputeInstanceVersion - Class in com.azure.resourcemanager.machinelearning.models: Version of computeInstance.
ComputeInstanceVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion
computeLocation() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the computeLocation property: Location for the underlying compute.
ComputePowerAction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ComputePowerAction.
ComputePowerAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputePowerAction
ComputeResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComputeResource.
ComputeResource.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComputeResource definition.
ComputeResource.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComputeResource definition stages.
ComputeResource.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComputeResource definition.
ComputeResource.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComputeResource.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify identity.
ComputeResource.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify location.
ComputeResource.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify parent resource.
ComputeResource.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify properties.
ComputeResource.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify sku.
ComputeResource.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify tags.
ComputeResource.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComputeResource update.
ComputeResource.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComputeResource update stages.
ComputeResource.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource update allowing to specify properties.
ComputeResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Machine Learning compute object wrapped into ARM resource envelope.
ComputeResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner
ComputeResourceSchema - Class in com.azure.resourcemanager.machinelearning.models: The ComputeResourceSchema model.
ComputeResourceSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema
computes() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Computes.
Computes - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Computes.
ComputeSchedules - Class in com.azure.resourcemanager.machinelearning.models: The list of schedules to be applied on the computes.
ComputeSchedules() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeSchedules
ComputesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComputesClient.
ComputeSecrets - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComputeSecrets.
ComputeSecretsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Secrets related to a Machine Learning compute.
ComputeSecretsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner
computeStartStop() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Get the computeStartStop property: The list of compute start stop schedules to be applied.
ComputeStartStopSchedule - Class in com.azure.resourcemanager.machinelearning.models: Compute start stop schedule properties.
ComputeStartStopSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule
ComputeType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ComputeType.
ComputeType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeType
condaFile() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the condaFile property: Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
configure() - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets a Configurable instance that can be used to create MachineLearningManager with optional configuration.
connectivityEndpoints() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the connectivityEndpoints property: Describes all connectivity endpoints available for this ComputeInstance.
containerName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the containerName property: Storage account container name.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the containerRegistry property: Setting for diagnosing dependent container registry.
containerRegistry() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistryCredentials() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the containerRegistryCredentials property: The containerRegistryCredentials property.
containerRegistryCredentials() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the containerRegistryCredentials property: The containerRegistryCredentials property.
containerRegistryResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the containerRegistryResults property: The containerRegistryResults property.
containerResourceLimits() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Get the containerResourceLimits property: Container resource limit info:.
containerResourceRequests() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Get the containerResourceRequests property: Container resource request info:.
containerResourceRequirements() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Get the containerResourceRequirements property: The resource requirements for the container (cpu and memory).
ContainerResourceRequirements - Class in com.azure.resourcemanager.machinelearning.models: Resource requirements for each container instance within an online deployment.
ContainerResourceRequirements() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements
ContainerResourceSettings - Class in com.azure.resourcemanager.machinelearning.models: The ContainerResourceSettings model.
ContainerResourceSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings
containers() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the containers property: Describes informations of containers on this ComputeInstance.
containerType() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Get the containerType property: The type of container to retrieve logs from.
ContainerType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ContainerType.
ContainerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerType
content() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Get the content property: The retrieved online deployment logs.
content() - Method in interface com.azure.resourcemanager.machinelearning.models.DeploymentLogs: Gets the content property: The retrieved online deployment logs.
contextUri() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Get the contextUri property: [Required] URI of the Docker build context used to build the image.
cosmosDb() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Get the cosmosDb property: The settings for the service managed cosmosdb account.
CosmosDbSettings - Class in com.azure.resourcemanager.machinelearning.models: The CosmosDbSettings model.
CosmosDbSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings
COUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Static value Count for QuotaUnit.
COUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Static value Count for UsageUnit.
countryOrRegionForHolidays() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the countryOrRegionForHolidays property: Country or region for holidays for forecasting tasks.
cpu() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the cpu property: Number of vCPUs request/limit for container.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithCreate: Executes the create request.
create(String, String, String, WorkspaceConnectionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Add a new workspace connection.
CREATE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Create for OperationName.
CREATE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value CreateFailed for ComputeInstanceState.
CREATE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value CreateFailed for OperationStatus.
CREATED_AT_ASC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value CreatedAtAsc for OrderString.
CREATED_AT_DESC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value CreatedAtDesc for OrderString.
createdBy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the createdBy property: who this data mount created by.
createdBy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the createdBy property: Describes information on user who created this ComputeInstance.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the createdOn property: The time at which the compute was created.
createOrUpdate(String, String, WorkspaceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
createOrUpdate(String, String, WorkspaceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
createOrUpdate(String, String, String, BatchEndpointDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
createOrUpdate(String, String, String, BatchEndpointDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
createOrUpdate(String, String, String, CodeContainerDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Create or update container.
createOrUpdate(String, String, String, ComponentContainerDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Create or update container.
createOrUpdate(String, String, String, ComputeResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
createOrUpdate(String, String, String, ComputeResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
createOrUpdate(String, String, String, DataContainerDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Create or update container.
createOrUpdate(String, String, String, DatastoreDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Create or update datastore.
createOrUpdate(String, String, String, EnvironmentContainerDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Create or update container.
createOrUpdate(String, String, String, JobBaseDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Creates and executes a Job.
createOrUpdate(String, String, String, ModelContainerDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Create or update container.
createOrUpdate(String, String, String, OnlineEndpointDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
createOrUpdate(String, String, String, OnlineEndpointDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
createOrUpdate(String, String, String, PrivateEndpointConnectionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Update the state of specified private endpoint connection associated with the workspace.
createOrUpdate(String, String, String, String, BatchDeploymentDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
createOrUpdate(String, String, String, String, BatchDeploymentDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
createOrUpdate(String, String, String, String, CodeVersionDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, EnvironmentVersionDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Creates or updates an EnvironmentVersion.
createOrUpdate(String, String, String, String, ModelVersionDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, OnlineDeploymentDataInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
createOrUpdate(String, String, String, String, OnlineDeploymentDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
createOrUpdateWithResponse(String, String, String, CodeContainerDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, ComponentContainerDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, DataContainerDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, DatastoreDataInner, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Create or update datastore.
createOrUpdateWithResponse(String, String, String, EnvironmentContainerDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, JobBaseDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Creates and executes a Job.
createOrUpdateWithResponse(String, String, String, ModelContainerDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, PrivateEndpointConnectionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Update the state of specified private endpoint connection associated with the workspace.
createOrUpdateWithResponse(String, String, String, String, CodeVersionDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, ComponentVersionDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, DataVersionBaseDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, EnvironmentVersionDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Creates or updates an EnvironmentVersion.
createOrUpdateWithResponse(String, String, String, String, ModelVersionDataInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Create or update version.
createWithResponse(String, String, String, WorkspaceConnectionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Add a new workspace connection.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Creating for ComputeInstanceState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Creating for DeploymentProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Creating for EndpointProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Creating for PrivateEndpointConnectionProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Creating for ProvisioningState.
creationScript() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Get the creationScript property: Script that's run only once during provision of the compute.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Get the credentials property: [Required] Account credentials.
CredentialsType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for CredentialsType.
CredentialsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.CredentialsType
CRITICAL - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Critical for LogVerbosity.
CRON - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleType: Static value Cron for ScheduleType.
CronSchedule - Class in com.azure.resourcemanager.machinelearning.models: Cron schedule definition.
CronSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.CronSchedule
CURATED - Static variable in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Static value Curated for EnvironmentType.
currentNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the currentNodeCount property: Current node count.
currentValue() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the currentValue property: The current usage of the resource.
currentValue() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the currentValue property: The current usage of the resource.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Custom for FeaturizationMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Static value Custom for ForecastHorizonMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Static value Custom for NCrossValidationsMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Static value Custom for SeasonalityMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Static value Custom for TargetLagsMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Static value Custom for TargetRollingWindowSizeMode.
CUSTOM_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value CustomModel for JobInputType.
CUSTOM_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value CustomModel for JobOutputType.
CUSTOM_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelType: Static value CustomModel for ModelType.
CustomForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: The desired maximum forecast horizon in units of time-series frequency.
CustomForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon
CustomModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The CustomModelJobInput model.
CustomModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput
CustomModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The CustomModelJobOutput model.
CustomModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput
CustomNCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations are specified by user.
CustomNCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations
CustomSeasonality - Class in com.azure.resourcemanager.machinelearning.models: The CustomSeasonality model.
CustomSeasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomSeasonality
CustomTargetLags - Class in com.azure.resourcemanager.machinelearning.models: The CustomTargetLags model.
CustomTargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomTargetLags
CustomTargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: The CustomTargetRollingWindowSize model.
CustomTargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize
cvSplitColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Get the cvSplitColumnNames property: Columns to use for CVSplit data.
cvStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the cvStepSize property: Number of periods between the origin time of one CV fold and the next fold.

D

data() - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Get the data property: Model flavor-specific data.
data() - Method in class com.azure.resourcemanager.machinelearning.models.TestDataSettings: Get the data property: Test data MLTable.
data() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingDataSettings: Get the data property: [Required] Training data MLTable.
data() - Method in class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings: Get the data property: Validation data MLTable.
DATA_FACTORY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value DataFactory for ComputeType.
DATA_LAKE_ANALYTICS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value DataLakeAnalytics for ComputeType.
DATA_PATH - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value DataPath for ReferenceType.
Databricks - Class in com.azure.resourcemanager.machinelearning.models: A DataFactory compute.
Databricks() - Constructor for class com.azure.resourcemanager.machinelearning.models.Databricks
DATABRICKS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value Databricks for ComputeType.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Get the databricksAccessToken property: access token for databricks account.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Get the databricksAccessToken property: access token for databricks account.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Get the databricksAccessToken property: Databricks access token.
DatabricksComputeSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on Databricks.
DatabricksComputeSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets
DatabricksComputeSecretsProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of Databricks Compute Secrets.
DatabricksComputeSecretsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties
DatabricksProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of Databricks.
DatabricksProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksProperties
DatabricksSchema - Class in com.azure.resourcemanager.machinelearning.models: The DatabricksSchema model.
DatabricksSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksSchema
DataContainerData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DataContainerData.
DataContainerData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the DataContainerData definition.
DataContainerData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataContainerData definition stages.
DataContainerData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the DataContainerData definition.
DataContainerData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainerData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
DataContainerData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainerData definition allowing to specify parent resource.
DataContainerData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainerData definition allowing to specify properties.
DataContainerData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for DataContainerData update.
DataContainerData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataContainerData update stages.
DataContainerData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainerData update allowing to specify properties.
DataContainerDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DataContainerDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner
DataContainerDetails - Class in com.azure.resourcemanager.machinelearning.models: Container for data asset versions.
DataContainerDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataContainerDetails
DataContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of DataContainer entities.
DataContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult
dataContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of DataContainers.
DataContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of DataContainers.
DataContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DataContainersClient.
dataDisks() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the dataDisks property: Describes informations of dataDisks on this ComputeInstance.
DataFactory - Class in com.azure.resourcemanager.machinelearning.models: A DataFactory compute.
DataFactory() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataFactory
DataLakeAnalytics - Class in com.azure.resourcemanager.machinelearning.models: A DataLakeAnalytics compute.
DataLakeAnalytics() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics
DataLakeAnalyticsSchema - Class in com.azure.resourcemanager.machinelearning.models: The DataLakeAnalyticsSchema model.
DataLakeAnalyticsSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema
DataLakeAnalyticsSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: The DataLakeAnalyticsSchemaProperties model.
DataLakeAnalyticsSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties
dataLakeStoreAccountName() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Get the dataLakeStoreAccountName property: DataLake Store Account Name.
dataMounts() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the dataMounts property: Describes informations of dataMounts on this ComputeInstance.
DataPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a datastore.
DataPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference
DATASET - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value Dataset for SourceType.
datasetLanguage() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Get the datasetLanguage property: Dataset language, useful for the text data.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the dataSettings property: Data inputs for AutoMLJob.
dataSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the dataSettings property: Data inputs for AutoMLJob.
DataSettings - Class in com.azure.resourcemanager.machinelearning.models: Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
DataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataSettings
DATASTORE - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value Datastore for SourceType.
DatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Base definition for datastore credentials.
DatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials
DatastoreData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DatastoreData.
DatastoreData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the DatastoreData definition.
DatastoreData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The DatastoreData definition stages.
DatastoreData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the DatastoreData definition.
DatastoreData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
DatastoreData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData definition allowing to specify parent resource.
DatastoreData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData definition allowing to specify properties.
DatastoreData.DefinitionStages.WithSkipValidation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData definition allowing to specify skipValidation.
DatastoreData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for DatastoreData update.
DatastoreData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The DatastoreData update stages.
DatastoreData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData update allowing to specify properties.
DatastoreData.UpdateStages.WithSkipValidation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DatastoreData update allowing to specify skipValidation.
DatastoreDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DatastoreDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner
DatastoreDetails - Class in com.azure.resourcemanager.machinelearning.models: Base definition for datastore contents configuration.
DatastoreDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreDetails
datastoreId() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Get the datastoreId property: ARM resource ID of the datastore where the asset is located.
datastoreId() - Method in class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference: Get the datastoreId property: ARM resource ID of the datastore where the asset is located.
DatastoreResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of Datastore entities.
DatastoreResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult
datastores() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Datastores.
Datastores - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Datastores.
DatastoresClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DatastoresClient.
DatastoreSecrets - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DatastoreSecrets.
DatastoreSecretsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Base definition for datastore secrets.
DatastoreSecretsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner
DatastoreType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DatastoreType.
DatastoreType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreType
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Get the dataType property: [Required] Specifies the type of data.
DataType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DataType.
DataType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataType
dataUri() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Get the dataUri property: [Required] Uri of the data.
DataVersionBaseData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DataVersionBaseData.
DataVersionBaseData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the DataVersionBaseData definition.
DataVersionBaseData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataVersionBaseData definition stages.
DataVersionBaseData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the DataVersionBaseData definition.
DataVersionBaseData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBaseData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
DataVersionBaseData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBaseData definition allowing to specify parent resource.
DataVersionBaseData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBaseData definition allowing to specify properties.
DataVersionBaseData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for DataVersionBaseData update.
DataVersionBaseData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataVersionBaseData update stages.
DataVersionBaseData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBaseData update allowing to specify properties.
DataVersionBaseDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DataVersionBaseDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner
DataVersionBaseDetails - Class in com.azure.resourcemanager.machinelearning.models: Data version base definition.
DataVersionBaseDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails
DataVersionBaseResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of DataVersionBase entities.
DataVersionBaseResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult
dataVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of DataVersions.
DataVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of DataVersions.
DataVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DataVersionsClient.
DAY - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Day for RecurrenceFrequency.
DEBUG - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Debug for BatchLoggingLevel.
DEBUG - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Debug for LogVerbosity.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value DecisionTree for ClassificationModels.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value DecisionTree for ForecastingModels.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value DecisionTree for RegressionModels.
DEDICATED - Static variable in class com.azure.resourcemanager.machinelearning.models.VmPriority: Static value Dedicated for VmPriority.
DEFAULT - Static variable in class com.azure.resourcemanager.machinelearning.models.ScaleType: Static value Default for ScaleType.
defaultInstanceType() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the defaultInstanceType property: Default instance type.
defaultProperty() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the defaultProperty property: Gets or sets the default capacity.
defaults() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Get the defaults property: Default values for Batch Endpoint.
defaults() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpoint: Get the defaults property: Default values for Batch Endpoint.
DefaultScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: The DefaultScaleSettings model.
DefaultScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Begins definition for a new BatchDeploymentData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Begins definition for a new BatchEndpointData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Begins definition for a new CodeContainerData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Begins definition for a new CodeVersionData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Begins definition for a new ComponentContainerData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Begins definition for a new ComponentVersionData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Begins definition for a new ComputeResource resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Begins definition for a new DataContainerData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Begins definition for a new DatastoreData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Begins definition for a new DataVersionBaseData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Begins definition for a new EnvironmentContainerData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Begins definition for a new EnvironmentVersionData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Begins definition for a new JobBaseData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Begins definition for a new ModelContainerData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Begins definition for a new ModelVersionData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Begins definition for a new OnlineDeploymentData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Begins definition for a new OnlineEndpointData resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Begins definition for a new PrivateEndpointConnection resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Begins definition for a new WorkspaceConnection resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Begins definition for a new Workspace resource.
delayEvaluation() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Get the delayEvaluation property: Number of intervals by which to delay the first evaluation.
delayInMinutes() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Get the delayInMinutes property: The delayInMinutes property.
delete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
delete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
delete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Delete datastore.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Deletes the specified private endpoint connection associated with the workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Delete a workspace connection.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Delete a workspace connection.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
delete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Deletes specified Machine Learning compute.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
DELETE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Delete for OperationName.
DELETE - Static variable in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Static value Delete for UnderlyingResourceAction.
DELETE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value DeleteFailed for OperationStatus.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Delete a workspace connection.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Delete a workspace connection.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
deleteByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Delete datastore.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Deletes the specified private endpoint connection associated with the workspace.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Delete a workspace connection.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Delete a workspace connection.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Deleting for ComputeInstanceState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Deleting for DeploymentProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Deleting for EndpointProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Deleting for PrivateEndpointConnectionProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Deleting for ProvisioningState.
DENSE_PROD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value DenseProd for ClusterPurpose.
DeploymentLogs - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DeploymentLogs.
DeploymentLogsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The DeploymentLogs model.
DeploymentLogsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner
DeploymentLogsRequest - Class in com.azure.resourcemanager.machinelearning.models: The DeploymentLogsRequest model.
DeploymentLogsRequest() - Constructor for class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest
deploymentName() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Get the deploymentName property: Name of the deployment that will be default for the endpoint.
DeploymentProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DeploymentProvisioningState.
DeploymentProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the description property: Describes the feature for user experience.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the description property: Description of the inference endpoint.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Get the description property: The description for the operation.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the description property: Describes the feature for user experience.
description() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the description property: The description of the Machine Learning compute.
description() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the description property: Description of the endpoint deployment.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the description property: Description of the inference endpoint.
description() - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Get the description property: Description for the input.
description() - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Get the description property: Description for the output.
description() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the description property: Description of the endpoint deployment.
description() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the description property: The reason for approval/rejection of the connection.
description() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the description property: The asset description text.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the description property: The description of this workspace.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the description property: The description of this workspace.
DETACH - Static variable in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Static value Detach for UnderlyingResourceAction.
DEV_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value DevTest for ClusterPurpose.
diagnose() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Diagnose workspace setup issue.
diagnose(DiagnoseWorkspaceParameters) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Diagnose workspace setup issue.
diagnose(DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Diagnose workspace setup issue.
diagnose(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
diagnose(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Diagnose workspace setup issue.
DiagnoseRequestProperties - Class in com.azure.resourcemanager.machinelearning.models: The DiagnoseRequestProperties model.
DiagnoseRequestProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties
DiagnoseResponseResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DiagnoseResponseResult.
DiagnoseResponseResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The DiagnoseResponseResult model.
DiagnoseResponseResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner
DiagnoseResponseResultValue - Class in com.azure.resourcemanager.machinelearning.models: The DiagnoseResponseResultValue model.
DiagnoseResponseResultValue() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue
DiagnoseResult - Class in com.azure.resourcemanager.machinelearning.models: Result of Diagnose.
DiagnoseResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResult
DiagnoseResultLevel - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DiagnoseResultLevel.
DiagnoseResultLevel() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel
DiagnoseWorkspaceParameters - Class in com.azure.resourcemanager.machinelearning.models: Parameters to diagnose a workspace.
DiagnoseWorkspaceParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters
DIRECT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value Direct for InputDeliveryMode.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Static value Disabled for EgressPublicNetworkAccessType.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Static value Disabled for EncryptionStatus.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Static value Disabled for PublicNetworkAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Static value Disabled for PublicNetworkAccessType.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value Disabled for RemoteLoginPortPublicAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Static value Disabled for ScheduleStatus.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Static value Disabled for SshPublicAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus: Static value Disabled for SslConfigurationStatus.
disableLocalAuth() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
DISCONNECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Disconnected for PrivateEndpointServiceConnectionStatus.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
diskSizeGB() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the diskSizeGB property: The initial disk size in gigabytes.
display() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Get the display property: Display name of operation.
display() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlOperation: Gets the display property: Display name of operation.
displayName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the displayName property: Specifies the feature name.
displayName() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the displayName property: Specifies the feature name.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Get the displayName property: Name of the ComputeInstance application.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the displayName property: Display name of job.
distributed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the distributed property: Whether to use distributer training.
distributed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the distributed property: Whether to use distributed training.
distribution() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the distribution property: Distribution configuration of the job.
distribution() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the distribution property: Distribution configuration of the job.
DistributionConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Base definition for job distribution configuration.
DistributionConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration
DistributionType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DistributionType.
DistributionType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DistributionType
dnsResolution() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the dnsResolution property: Setting for diagnosing dns resolution.
dnsResolutionResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the dnsResolutionResults property: The dnsResolutionResults property.
dnsServiceIp() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the dnsServiceIp property: An IP address assigned to the Kubernetes DNS service.
dockerBridgeCidr() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the dockerBridgeCidr property: A CIDR notation IP range assigned to the Docker bridge network.
dockerfilePath() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Get the dockerfilePath property: Path to the Dockerfile in the build context.
domainName() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Get the domainName property: The domainName property.
DOWNLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value Download for InputDeliveryMode.
DROP - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Drop for ShortSeriesHandlingConfiguration.
dropColumns() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the dropColumns property: Columns to be dropped from data during featurization.

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earlyStopping() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStopping property: Enable early stopping logic during training.
earlyStopping() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStopping property: Enable early stopping logic during training.
earlyStoppingDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
earlyStoppingDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
earlyStoppingPatience() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
earlyStoppingPatience() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
earlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Get the earlyTermination property: Type of early termination policy.
earlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the earlyTermination property: Early termination policies enable canceling poor-performing runs before they complete.
EarlyTerminationPolicy - Class in com.azure.resourcemanager.machinelearning.models: Early termination policies enable canceling poor-performing runs before they complete.
EarlyTerminationPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy
EarlyTerminationPolicyType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EarlyTerminationPolicyType.
EarlyTerminationPolicyType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType
egressPublicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
EgressPublicNetworkAccessType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EgressPublicNetworkAccessType.
EgressPublicNetworkAccessType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ElasticNet for ForecastingModels.
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value ElasticNet for RegressionModels.
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value ElasticNet for StackMetaLearnerType.
ELASTIC_NET_CV - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value ElasticNetCV for StackMetaLearnerType.
enabled() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Get the enabled property: The enabled property.
enabled() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the enabled property: The enabled property.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Static value Enabled for EgressPublicNetworkAccessType.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Static value Enabled for EncryptionStatus.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Static value Enabled for PublicNetworkAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Static value Enabled for PublicNetworkAccessType.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value Enabled for RemoteLoginPortPublicAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Static value Enabled for ScheduleStatus.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Static value Enabled for SshPublicAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus: Static value Enabled for SslConfigurationStatus.
enableDnnFeaturization() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the enableDnnFeaturization property: Determines whether to use Dnn based featurizers for data featurization.
enableDnnTraining() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableDnnTraining property: Enable recommendation of DNN models.
enableEarlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the enableEarlyTermination property: Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
enableModelExplainability() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableModelExplainability property: Flag to turn on explainability on best model.
enableNodePublicIp() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the enableNodePublicIp property: Enable node public IP.
enableNodePublicIp() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the enableNodePublicIp property: Enable node public IP.
enableOnnxCompatibleModels() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
enableOnnxNormalization() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
enableOnnxNormalization() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
enableStackEnsemble() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableStackEnsemble property: Enable stack ensemble run.
enableVoteEnsemble() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableVoteEnsemble property: Enable voting ensemble run.
encryption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the encryption property: The encryption settings of Azure ML workspace.
EncryptionKeyVaultProperties - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionKeyVaultProperties model.
EncryptionKeyVaultProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties
EncryptionProperty - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionProperty model.
EncryptionProperty() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionProperty
EncryptionStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EncryptionStatus.
EncryptionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionStatus
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the endpoint property: Url for endpoint.
EndpointAuthKeys - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointAuthKeys.
EndpointAuthKeysInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Keys for endpoint authentication.
EndpointAuthKeysInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner
EndpointAuthMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EndpointAuthMode.
EndpointAuthMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode
EndpointAuthToken - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointAuthToken.
EndpointAuthTokenInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Service Token.
EndpointAuthTokenInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner
EndpointComputeType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EndpointComputeType.
EndpointComputeType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointComputeType
EndpointDeploymentPropertiesBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition for endpoint deployment.
EndpointDeploymentPropertiesBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase
endpointDetails() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Get the endpointDetails property: The endpointDetails property.
EndpointPropertiesBase - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointPropertiesBase.
EndpointPropertiesBaseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Inference Endpoint base definition.
EndpointPropertiesBaseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner
EndpointProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EndpointProvisioningState.
EndpointProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState
endpoints() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Get the endpoints property: The endpoints property.
endpointUri() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Get the endpointUri property: Application' endpoint URI.
endTime() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the endTime property: Specifies end time of schedule in ISO 8601 format.
ensembleModelDownloadTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
environment() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the environment property: Environment information of this container.
EnvironmentContainerData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EnvironmentContainerData.
EnvironmentContainerData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the EnvironmentContainerData definition.
EnvironmentContainerData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentContainerData definition stages.
EnvironmentContainerData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the EnvironmentContainerData definition.
EnvironmentContainerData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainerData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
EnvironmentContainerData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainerData definition allowing to specify parent resource.
EnvironmentContainerData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainerData definition allowing to specify properties.
EnvironmentContainerData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for EnvironmentContainerData update.
EnvironmentContainerData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentContainerData update stages.
EnvironmentContainerData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainerData update allowing to specify properties.
EnvironmentContainerDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
EnvironmentContainerDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner
EnvironmentContainerDetails - Class in com.azure.resourcemanager.machinelearning.models: Container for environment specification versions.
EnvironmentContainerDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails
EnvironmentContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of EnvironmentContainer entities.
EnvironmentContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult
environmentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of EnvironmentContainers.
EnvironmentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of EnvironmentContainers.
EnvironmentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in EnvironmentContainersClient.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the environmentId property: The ARM resource ID of the Environment specification for the job.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
environmentType() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the environmentType property: Environment type is either user managed or curated by the Azure ML service <see href="https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments" />.
EnvironmentType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EnvironmentType.
EnvironmentType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentType
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the environmentVariables property: Environment variables included in the job.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the environmentVariables property: Environment variables included in the job.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the environmentVariables property: Environment variables configuration for the deployment.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the environmentVariables property: Environment variables configuration for the deployment.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the environmentVariables property: Environment variables included in the job.
EnvironmentVersionData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EnvironmentVersionData.
EnvironmentVersionData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the EnvironmentVersionData definition.
EnvironmentVersionData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentVersionData definition stages.
EnvironmentVersionData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the EnvironmentVersionData definition.
EnvironmentVersionData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersionData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
EnvironmentVersionData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersionData definition allowing to specify parent resource.
EnvironmentVersionData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersionData definition allowing to specify properties.
EnvironmentVersionData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for EnvironmentVersionData update.
EnvironmentVersionData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentVersionData update stages.
EnvironmentVersionData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersionData update allowing to specify properties.
EnvironmentVersionDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
EnvironmentVersionDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner
EnvironmentVersionDetails - Class in com.azure.resourcemanager.machinelearning.models: Environment version details.
EnvironmentVersionDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails
EnvironmentVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of EnvironmentVersion entities.
EnvironmentVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult
environmentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of EnvironmentVersions.
EnvironmentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of EnvironmentVersions.
EnvironmentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in EnvironmentVersionsClient.
error() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the error property: Error of this data mount.
ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Error for DiagnoseResultLevel.
ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Error for LogVerbosity.
errorMessage() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the errorMessage property: Any error in the service.
errorMessage() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Get the errorMessage property: The errorMessage property.
errors() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the errors property: Errors.
errors() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the errors property: Errors.
errorThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
errorThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
EstimatedVMPrice - Class in com.azure.resourcemanager.machinelearning.models: The estimated price info for using a VM of a particular OS type, tier, etc.
EstimatedVMPrice() - Constructor for class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice
estimatedVMPrices() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the estimatedVMPrices property: The estimated price information for using a VM.
EstimatedVMPrices - Class in com.azure.resourcemanager.machinelearning.models: The estimated price info for using a VM.
EstimatedVMPrices() - Constructor for class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices
EVAL_DOWNLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value EvalDownload for InputDeliveryMode.
EVAL_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value EvalMount for InputDeliveryMode.
evaluationFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
evaluationFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
evaluationInterval() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Get the evaluationInterval property: Interval (number of runs) between policy evaluations.
exitScore() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the exitScore property: Exit score for the AutoML job.
experimentName() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the experimentName property: The name of the experiment the job belongs to.
expiresIn() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the expiresIn property: The expiresIn property.
expiresIn() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the expiresIn property: The expiresIn property.
expiryTimeUtc() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the expiryTimeUtc property: Access token expiry time (UTC).
expiryTimeUtc() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the expiryTimeUtc property: Access token expiry time (UTC).
EXPONENTIAL_SMOOTHING - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ExponentialSmoothing for ForecastingModels.
expression() - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Get the expression property: [Required] Specifies cron expression of schedule.
extensionInstanceReleaseTrain() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the extensionInstanceReleaseTrain property: Extension instance release train.
extensionPrincipalId() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the extensionPrincipalId property: Extension principal-id.
ExternalFqdnResponse - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ExternalFqdnResponse.
ExternalFqdnResponseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ExternalFqdnResponse model.
ExternalFqdnResponseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner
EXTRA_LARGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value ExtraLarge for ModelSize.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value ExtremeRandomTrees for ClassificationModels.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ExtremeRandomTrees for ForecastingModels.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value ExtremeRandomTrees for RegressionModels.

F

FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Failed for DeploymentProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Failed for EndpointProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Failed for JobStatus.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Failed for PrivateEndpointConnectionProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Failed for ProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Failed for ProvisioningStatus.
FAILURE - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Failure for Status.
failureThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the failureThreshold property: The number of failures to allow before returning an unhealthy status.
family() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
family() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
family() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the family property: Virtual Machine family name The family name of the virtual machine size.
FAST_PROD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value FastProd for ClusterPurpose.
featureLags() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the featureLags property: Flag for generating lags for the numeric features with 'auto' or null.
FeatureLags - Class in com.azure.resourcemanager.machinelearning.models: Defines values for FeatureLags.
FeatureLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureLags
FeaturizationMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for FeaturizationMode.
FeaturizationMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturizationMode
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
FeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: Featurization Configuration.
FeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings
fields() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Get the fields property: Fields to apply transformer logic on.
fileShareName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the fileShareName property: [Required] The name of the Azure file share that the datastore points to.
filesystem() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the filesystem property: [Required] The name of the Data Lake Gen2 filesystem.
FINALIZING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Finalizing for JobStatus.
FlavorData - Class in com.azure.resourcemanager.machinelearning.models: The FlavorData model.
FlavorData() - Constructor for class com.azure.resourcemanager.machinelearning.models.FlavorData
flavors() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Get the flavors property: Mapping of model flavors to their properties.
forecastHorizon() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the forecastHorizon property: The desired maximum forecast horizon in units of time-series frequency.
ForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: The desired maximum forecast horizon in units of time-series frequency.
ForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastHorizon
ForecastHorizonMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ForecastHorizonMode.
ForecastHorizonMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode
Forecasting - Class in com.azure.resourcemanager.machinelearning.models: Forecasting task in AutoML Table vertical.
Forecasting() - Constructor for class com.azure.resourcemanager.machinelearning.models.Forecasting
FORECASTING - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Forecasting for TaskType.
ForecastingModels - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ForecastingModels.
ForecastingModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingModels
ForecastingPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ForecastingPrimaryMetrics.
ForecastingPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics
forecastingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the forecastingSettings property: Forecasting task specific inputs.
ForecastingSettings - Class in com.azure.resourcemanager.machinelearning.models: Forecasting specific parameters.
ForecastingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingSettings
fqdn() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the fqdn property: The fqdn property.
fqdn() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the fqdn property: The fqdn property.
FqdnEndpoint - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpoint model.
FqdnEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint
FqdnEndpointDetail - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpointDetail model.
FqdnEndpointDetail() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail
FqdnEndpoints - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpoints model.
FqdnEndpoints() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints
FqdnEndpointsProperties - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpointsProperties model.
FqdnEndpointsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties
FREE - com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Free.
frequency() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the frequency property: When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc.
frequency() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the frequency property: [Required] Specifies frequency with with which to trigger schedule.
FRIDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Friday for Weekday.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the friendlyName property: The friendly name for this workspace.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.AllocationState: Creates or finds a AllocationState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Creates or finds a ApplicationSharingPolicy from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Autosave: Creates or finds a Autosave from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Creates or finds a BatchLoggingLevel from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Creates or finds a BatchOutputAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Creates or finds a BillingCurrency from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Caching: Creates or finds a Caching from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Creates or finds a ClassificationModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Creates or finds a ClassificationMultilabelPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Creates or finds a ClassificationPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Creates or finds a ClusterPurpose from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Creates or finds a ComputeInstanceAuthorizationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Creates or finds a ComputeInstanceState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Creates or finds a ComputePowerAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeType: Creates or finds a ComputeType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerType: Creates or finds a ContainerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Creates or finds a CredentialsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Creates or finds a DatastoreType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DataType: Creates or finds a DataType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Creates or finds a DeploymentProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Creates or finds a DiagnoseResultLevel from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DistributionType: Creates or finds a DistributionType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Creates or finds a EarlyTerminationPolicyType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Creates or finds a EgressPublicNetworkAccessType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Creates or finds a EncryptionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Creates or finds a EndpointAuthMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Creates or finds a EndpointComputeType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Creates or finds a EndpointProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Creates or finds a EnvironmentType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Creates or finds a FeatureLags from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Creates or finds a FeaturizationMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Creates or finds a ForecastHorizonMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Creates or finds a ForecastingModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Creates or finds a ForecastingPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Goal: Creates or finds a Goal from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Creates or finds a IdentityConfigurationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Creates or finds a InputDeliveryMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Creates or finds a InstanceSegmentationPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobInputType: Creates or finds a JobInputType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Creates or finds a JobLimitsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Creates or finds a JobOutputType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobStatus: Creates or finds a JobStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobType: Creates or finds a JobType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.KeyType: Creates or finds a KeyType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Creates or finds a LearningRateScheduler from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ListViewType: Creates or finds a ListViewType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Creates or finds a LoadBalancerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Creates or finds a LogVerbosity from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Creates or finds a ManagedServiceIdentityType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelSize: Creates or finds a ModelSize from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelType: Creates or finds a ModelType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MountAction: Creates or finds a MountAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MountState: Creates or finds a MountState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Creates or finds a NCrossValidationsMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Network: Creates or finds a Network from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NodeState: Creates or finds a NodeState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Creates or finds a ObjectDetectionPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Creates or finds a OperatingSystemType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationName: Creates or finds a OperationName from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Creates or finds a OperationStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Creates or finds a OperationTrigger from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OrderString: Creates or finds a OrderString from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OsType: Creates or finds a OsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Creates or finds a OutputDeliveryMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Creates or finds a PrivateEndpointConnectionProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Creates or finds a PrivateEndpointServiceConnectionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Creates or finds a ProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Creates or finds a ProvisioningStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Creates or finds a PublicNetworkAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Creates or finds a PublicNetworkAccessType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Creates or finds a QuotaUnit from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Creates or finds a RandomSamplingAlgorithmRule from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Creates or finds a RecurrenceFrequency from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Creates or finds a ReferenceType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Creates or finds a RegressionModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Creates or finds a RegressionPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Creates or finds a RemoteLoginPortPublicAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Creates or finds a SamplingAlgorithmType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleType: Creates or finds a ScaleType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Creates or finds a ScheduleStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleType: Creates or finds a ScheduleType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Creates or finds a SeasonalityMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SecretsType: Creates or finds a SecretsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Creates or finds a ServiceDataAccessAuthIdentity from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Creates or finds a ShortSeriesHandlingConfiguration from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Creates or finds a SkuScaleType from its string representation.
fromString(String) - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Parses a serialized value to a SkuTier instance.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SourceType: Creates or finds a SourceType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Creates or finds a SshPublicAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus: Creates or finds a SslConfigurationStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Creates or finds a StackMetaLearnerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Status: Creates or finds a Status from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Creates or finds a StochasticOptimizer from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Creates or finds a StorageAccountType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Creates or finds a TargetAggregationFunction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Creates or finds a TargetLagsMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Creates or finds a TargetRollingWindowSizeMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TaskType: Creates or finds a TaskType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Creates or finds a UnderlyingResourceAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Creates or finds a UnitOfMeasure from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Creates or finds a UsageUnit from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UseStl: Creates or finds a UseStl from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Creates or finds a ValidationMetricType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Creates or finds a ValueFormat from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Creates or finds a VMPriceOSType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VmPriority: Creates or finds a VmPriority from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VMTier: Creates or finds a VMTier from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Weekday: Creates or finds a Weekday from its string representation.

G

get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Gets a batch inference endpoint by name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets compute definition by its name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Gets a Job by name/id.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Get Online Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Gets the specified private endpoint connection associated with the workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Get the detail of a workspace connection.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Get the detail of a workspace connection.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Gets a batch inference deployment by id.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Get Inference Deployment Deployment.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getApiVersion() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets Api Version.
getBatchDeployments() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the BatchDeploymentsClient object to access its operations.
getBatchEndpoints() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the BatchEndpointsClient object to access its operations.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Get the detail of a workspace connection.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Get the detail of a workspace connection.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Gets the properties of the specified machine learning workspace.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Gets the properties of the specified machine learning workspace.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getCodeContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the CodeContainersClient object to access its operations.
getCodeVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the CodeVersionsClient object to access its operations.
getComponentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComponentContainersClient object to access its operations.
getComponentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComponentVersionsClient object to access its operations.
getComputes() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComputesClient object to access its operations.
getDataContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DataContainersClient object to access its operations.
getDatastores() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DatastoresClient object to access its operations.
getDataVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DataVersionsClient object to access its operations.
getDefaultPollInterval() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The default poll interval for long-running operation.
getEndpoint() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets server parameter.
getEnvironmentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the EnvironmentContainersClient object to access its operations.
getEnvironmentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the EnvironmentVersionsClient object to access its operations.
getHttpPipeline() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The HTTP pipeline to send requests through.
getJobs() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the JobsClient object to access its operations.
getLogs(DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Polls an Endpoint operation.
getLogs(String, String, String, String, DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Polls an Endpoint operation.
getLogs(String, String, String, String, DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Polls an Endpoint operation.
getLogsWithResponse(DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Polls an Endpoint operation.
getLogsWithResponse(String, String, String, String, DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Polls an Endpoint operation.
getLogsWithResponse(String, String, String, String, DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Polls an Endpoint operation.
getModelContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ModelContainersClient object to access its operations.
getModelVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ModelVersionsClient object to access its operations.
getOnlineDeployments() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OnlineDeploymentsClient object to access its operations.
getOnlineEndpoints() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OnlineEndpointsClient object to access its operations.
getOperations() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OperationsClient object to access its operations.
getPrivateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the PrivateEndpointConnectionsClient object to access its operations.
getPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the PrivateLinkResourcesClient object to access its operations.
getQuotas() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the QuotasClient object to access its operations.
getSubscriptionId() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The ID of the target subscription.
getToken() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getToken(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getToken(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.
getUsages() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the UsagesClient object to access its operations.
getVirtualMachineSizes() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the VirtualMachineSizesClient object to access its operations.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Gets a batch inference endpoint by name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets compute definition by its name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Gets a Job by name/id.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Get Online Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Gets the specified private endpoint connection associated with the workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: Get the detail of a workspace connection.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Get the detail of a workspace connection.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Gets a batch inference deployment by id.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Get Inference Deployment Deployment.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getWorkspaceConnections() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspaceConnectionsClient object to access its operations.
getWorkspaceFeatures() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspaceFeaturesClient object to access its operations.
getWorkspaces() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspacesClient object to access its operations.
goal() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Get the goal property: [Required] Defines supported metric goals for hyperparameter tuning.
Goal - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Goal.
Goal() - Constructor for class com.azure.resourcemanager.machinelearning.models.Goal
gpu() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the gpu property: Information of GPU.
gpu() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the gpu property: Number of Nvidia GPU cards request/limit for container.
gpus() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the gpus property: Number of gPUs The number of gPUs supported by the virtual machine size.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value GradientBoosting for ClassificationModels.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value GradientBoosting for ForecastingModels.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value GradientBoosting for RegressionModels.
gradientAccumulationStep() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
gradientAccumulationStep() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
GRID - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Grid for SamplingAlgorithmType.
GridSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that exhaustively generates every value combination in the space.
GridSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm
groupId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the groupId property: The private link resource group id.

H

hbiWorkspace() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
HDFS - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value Hdfs for DatastoreType.
HdfsDatastore - Class in com.azure.resourcemanager.machinelearning.models: The HdfsDatastore model.
HdfsDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.HdfsDatastore
hdfsServerCertificate() - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Get the hdfsServerCertificate property: The TLS cert of the HDFS server.
HDInsight - Class in com.azure.resourcemanager.machinelearning.models: A HDInsight compute.
HDInsight() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsight
HDINSIGHT - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value HDInsight for ComputeType.
HDInsightProperties - Class in com.azure.resourcemanager.machinelearning.models: HDInsight compute properties.
HDInsightProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsightProperties
HDInsightSchema - Class in com.azure.resourcemanager.machinelearning.models: The HDInsightSchema model.
HDInsightSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsightSchema
HOST - Static variable in class com.azure.resourcemanager.machinelearning.models.Network: Static value Host for Network.
hostname() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the hostname property: The hostName property.
hostname() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the hostname property: The hostName property.
HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Hour for RecurrenceFrequency.
hours() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Get the hours property: [Required] List of hours for recurrence schedule pattern.

I

id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the id property: Specifies the feature ID.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the id property: Specifies the resource ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the id property: Specifies the feature ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the id property: Schedule id.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Get the id property: The ARM identifier for Private Endpoint.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Get the id property: The ID of the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the id property: Specifies the resource ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Get the id property: Virtual Machine image path.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the id property: Fully qualified resource Id for the resource.
ID - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value Id for ReferenceType.
IdAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its ARM resource ID.
IdAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdAssetReference
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the identity property: The identity of the resource.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the identity property: The identity that will be used to access the key vault for encryption at rest.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the identity property: Identity configuration.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the identity property: The identity of the resource.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the identity property: The identity of the resource.
identityClientId() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the identityClientId property: For future use - The client id of the identity which will be used to access key vault.
IdentityConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Base definition for identity configuration.
IdentityConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration
IdentityConfigurationType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for IdentityConfigurationType.
IdentityConfigurationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType
IdentityForCmk - Class in com.azure.resourcemanager.machinelearning.models: Identity that will be used to access key vault for encryption at rest.
IdentityForCmk() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityForCmk
IDLE - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value idle for NodeState.
IDLE_SHUTDOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value IdleShutdown for OperationTrigger.
idleNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the idleNodeCount property: Idle node count.
image() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the image property: Name of the image that will be used for the environment.
IMAGE_CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageClassification for TaskType.
IMAGE_CLASSIFICATION_MULTILABEL - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageClassificationMultilabel for TaskType.
IMAGE_INSTANCE_SEGMENTATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageInstanceSegmentation for TaskType.
IMAGE_OBJECT_DETECTION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageObjectDetection for TaskType.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the imageBuildCompute property: The compute name for image build.
ImageClassification - Class in com.azure.resourcemanager.machinelearning.models: Image Classification.
ImageClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassification
ImageClassificationBase - Class in com.azure.resourcemanager.machinelearning.models: The ImageClassificationBase model.
ImageClassificationBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase
ImageClassificationMultilabel - Class in com.azure.resourcemanager.machinelearning.models: Image Classification Multilabel.
ImageClassificationMultilabel() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel
ImageInstanceSegmentation - Class in com.azure.resourcemanager.machinelearning.models: Image Instance Segmentation.
ImageInstanceSegmentation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation
ImageLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Limit settings for the AutoML job.
ImageLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings
ImageModelDistributionSettings - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings
ImageModelDistributionSettingsClassification - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettingsClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification
ImageModelDistributionSettingsObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettingsObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection
ImageModelSettings - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettings
ImageModelSettingsClassification - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettingsClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification
ImageModelSettingsObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettingsObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection
ImageObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Image Object Detection.
ImageObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection
ImageObjectDetectionBase - Class in com.azure.resourcemanager.machinelearning.models: The ImageObjectDetectionBase model.
ImageObjectDetectionBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase
imagePullSecretName() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the imagePullSecretName property: Image registry pull secret.
imagePullSecretName() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the imagePullSecretName property: Image registry pull secret.
imageSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the imageSize property: Image size for train and validation.
imageSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the imageSize property: Image size for train and validation.
ImageSweepLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Limit settings for model sweeping and hyperparameter sweeping.
ImageSweepLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings
ImageSweepSettings - Class in com.azure.resourcemanager.machinelearning.models: Model sweeping and hyperparameter sweeping related settings.
ImageSweepSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings
ImageVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
ImageVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageVertical
ImageVerticalDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
ImageVerticalDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings
ImageVerticalValidationDataSettings - Class in com.azure.resourcemanager.machinelearning.models: The ImageVerticalValidationDataSettings model.
ImageVerticalValidationDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageVerticalValidationDataSettings
IN_PROGRESS - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value InProgress for OperationStatus.
INFERENCE_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ContainerType: Static value InferenceServer for ContainerType.
inferenceConfig() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the inferenceConfig property: Defines configuration specific to inference.
InferenceContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: The InferenceContainerProperties model.
InferenceContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties
INFO - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Info for BatchLoggingLevel.
INFO - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Info for LogVerbosity.
INFORMATION - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Information for DiagnoseResultLevel.
initialDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the initialDelay property: The delay before the first probe in ISO 8601 format.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlOperation: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeSecrets: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreSecrets: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DeploymentLogs: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ExternalFqdnResponse: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListStorageAccountKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResourceListResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.UsageInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizeListResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner object.
InputDeliveryMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for InputDeliveryMode.
InputDeliveryMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the inputs property: Mapping of input data bindings used in the job.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the inputs property: Inputs for the pipeline job.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the inputs property: Mapping of input data bindings used in the job.
instanceCount() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the instanceCount property: Optional number of instances or nodes used by the compute target.
InstanceSegmentationPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for InstanceSegmentationPrimaryMetrics.
InstanceSegmentationPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the instanceType property: Compute instance type.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the instanceType property: Optional type of VM used as supported by the compute target.
instanceTypes() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the instanceTypes property: Instance Type Schema.
InstanceTypeSchema - Class in com.azure.resourcemanager.machinelearning.models: Instance type schema.
InstanceTypeSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema
InstanceTypeSchemaResources - Class in com.azure.resourcemanager.machinelearning.models: Resource requests/limits for this instance type.
InstanceTypeSchemaResources() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources
INTERNAL_LOAD_BALANCER - Static variable in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Static value InternalLoadBalancer for LoadBalancerType.
interval() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the interval property: [Required] Specifies schedule interval in conjunction with frequency.
INVALID_QUOTA_BELOW_CLUSTER_MINIMUM - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidQuotaBelowClusterMinimum for Status.
INVALID_QUOTA_EXCEEDS_SUBSCRIPTION_LIMIT - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidQuotaExceedsSubscriptionLimit for Status.
INVALID_VMFAMILY_NAME - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidVMFamilyName for Status.
IOU - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value IOU for ClassificationMultilabelPrimaryMetrics.
isAnonymous() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Get the isAnonymous property: If the name version are system generated (anonymous registration).
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Get the isArchived property: Is the asset archived?.
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the isArchived property: Is the asset archived?.
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the isArchived property: Is the asset archived?.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isDataAction() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Get the isDataAction property: Indicates whether the operation applies to data-plane.
isDataAction() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlOperation: Gets the isDataAction property: Indicates whether the operation applies to data-plane.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isNotebookInstanceCompute() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the isNotebookInstanceCompute property: Indicates whether this compute will be used for running notebooks.
isolatedNetwork() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the isolatedNetwork property: Network is isolated or not.

J

JOB_RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value JobRunning for ComputeInstanceState.
JobBaseData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of JobBaseData.
JobBaseData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the JobBaseData definition.
JobBaseData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The JobBaseData definition stages.
JobBaseData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the JobBaseData definition.
JobBaseData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBaseData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
JobBaseData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBaseData definition allowing to specify parent resource.
JobBaseData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBaseData definition allowing to specify properties.
JobBaseData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for JobBaseData update.
JobBaseData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The JobBaseData update stages.
JobBaseData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBaseData update allowing to specify properties.
JobBaseDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
JobBaseDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner
JobBaseDetails - Class in com.azure.resourcemanager.machinelearning.models: Base definition for a job.
JobBaseDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobBaseDetails
JobBaseResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of JobBase entities.
JobBaseResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult
jobId() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Get the jobId property: ARM resource ID of the job.
jobId() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference: Get the jobId property: ARM resource ID of the job.
JobInput - Class in com.azure.resourcemanager.machinelearning.models: Command job definition.
JobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobInput
JobInputType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobInputType.
JobInputType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobInputType
JobLimits - Class in com.azure.resourcemanager.machinelearning.models: The JobLimits model.
JobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobLimits
JobLimitsType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobLimitsType.
JobLimitsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobLimitsType
jobName() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Get the jobName property: Name of the training job which produced this model.
JobOutput - Class in com.azure.resourcemanager.machinelearning.models: Job output definition container information on where to find job output/logs.
JobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobOutput
JobOutputType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobOutputType.
JobOutputType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobOutputType
jobs() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Jobs.
jobs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the jobs property: Jobs construct the Pipeline Job.
Jobs - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Jobs.
JobsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in JobsClient.
JobService - Class in com.azure.resourcemanager.machinelearning.models: Job endpoint definition.
JobService() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobService
jobServiceType() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the jobServiceType property: Endpoint type.
JobStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobStatus.
JobStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobStatus
JobType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobType.
JobType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobType
JSON - Static variable in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Static value JSON for ValueFormat.

K

KERBEROS_KEYTAB - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value KerberosKeytab for CredentialsType.
KERBEROS_KEYTAB - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value KerberosKeytab for SecretsType.
KERBEROS_PASSWORD - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value KerberosPassword for CredentialsType.
KERBEROS_PASSWORD - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value KerberosPassword for SecretsType.
KerberosCredentials - Class in com.azure.resourcemanager.machinelearning.models: The KerberosCredentials model.
KerberosCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.KerberosCredentials
kerberosKdcAddress() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Get the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
kerberosKdcAddress() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Get the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
kerberosKdcAddress() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Get the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
kerberosKeytab() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabSecrets: Get the kerberosKeytab property: Kerberos keytab secret.
KerberosKeytabCredentials - Class in com.azure.resourcemanager.machinelearning.models: The KerberosKeytabCredentials model.
KerberosKeytabCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials
KerberosKeytabSecrets - Class in com.azure.resourcemanager.machinelearning.models: The KerberosKeytabSecrets model.
KerberosKeytabSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.KerberosKeytabSecrets
kerberosPassword() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordSecrets: Get the kerberosPassword property: Kerberos password secret.
KerberosPasswordCredentials - Class in com.azure.resourcemanager.machinelearning.models: The KerberosPasswordCredentials model.
KerberosPasswordCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials
KerberosPasswordSecrets - Class in com.azure.resourcemanager.machinelearning.models: The KerberosPasswordSecrets model.
KerberosPasswordSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.KerberosPasswordSecrets
kerberosPrincipal() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Get the kerberosPrincipal property: [Required] Kerberos Username.
kerberosPrincipal() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Get the kerberosPrincipal property: [Required] Kerberos Username.
kerberosPrincipal() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Get the kerberosPrincipal property: [Required] Kerberos Username.
kerberosRealm() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Get the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
kerberosRealm() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Get the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
kerberosRealm() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Get the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
key() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Get the key property: Storage account key.
key() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the key property: Key data.
KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value Key for EndpointAuthMode.
keyIdentifier() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the keyIdentifier property: Key vault uri to access the encryption key.
keys() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the keys property: EndpointAuthKeys to set initially on an Endpoint.
keys() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the keys property: EndpointAuthKeys to set initially on an Endpoint.
keyType() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Get the keyType property: [Required] Specification for which type of key to generate.
KeyType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for KeyType.
KeyType() - Constructor for class com.azure.resourcemanager.machinelearning.models.KeyType
keyValue() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Get the keyValue property: The value the key is set to.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the keyVault property: Setting for diagnosing dependent key vault.
keyVault() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the keyVault property: ARM id of the key vault associated with this workspace.
keyVaultArmId() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the keyVaultArmId property: The ArmId of the keyVault where the customer owned encryption key is present.
keyVaultProperties() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the keyVaultProperties property: Customer Key vault properties.
keyVaultResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the keyVaultResults property: The keyVaultResults property.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value KNN for ClassificationModels.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value KNN for ForecastingModels.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value KNN for RegressionModels.
Kubernetes - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on Kubernetes Compute.
Kubernetes() - Constructor for class com.azure.resourcemanager.machinelearning.models.Kubernetes
KUBERNETES - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value Kubernetes for ComputeType.
KUBERNETES - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value Kubernetes for EndpointComputeType.
KubernetesOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a KubernetesOnlineDeployment.
KubernetesOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment
KubernetesProperties - Class in com.azure.resourcemanager.machinelearning.models: Kubernetes properties.
KubernetesProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesProperties
KubernetesSchema - Class in com.azure.resourcemanager.machinelearning.models: Kubernetes Compute Schema.
KubernetesSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesSchema

L

LARGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Large for ModelSize.
LASSO_LARS - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value LassoLars for ForecastingModels.
LASSO_LARS - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value LassoLars for RegressionModels.
lastOperation() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the lastOperation property: The last operation on ComputeInstance.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the latestVersion property: The latest version inside this container.
layersToFreeze() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the layersToFreeze property: Number of layers to freeze for the model.
layersToFreeze() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the layersToFreeze property: Number of layers to freeze for the model.
leafDomainLabel() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the leafDomainLabel property: Leaf domain label of public endpoint.
learningRate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the learningRate property: Initial learning rate.
learningRate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the learningRate property: Initial learning rate.
learningRateScheduler() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the learningRateScheduler property: Type of learning rate scheduler.
learningRateScheduler() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the learningRateScheduler property: Type of learning rate scheduler.
LearningRateScheduler - Class in com.azure.resourcemanager.machinelearning.models: Defines values for LearningRateScheduler.
LearningRateScheduler() - Constructor for class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler
LEAVING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value leaving for NodeState.
leavingNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the leavingNodeCount property: Leaving node count.
level() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the level property: Level of workspace setup error.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LightGBM for ClassificationModels.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value LightGBM for ForecastingModels.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value LightGBM for RegressionModels.
LIGHT_GBMCLASSIFIER - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LightGBMClassifier for StackMetaLearnerType.
LIGHT_GBMREGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LightGBMRegressor for StackMetaLearnerType.
limit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the limit property: Limit.
limit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the limit property: The maximum permitted usage of the resource.
limit() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the limit property: Limit.
limit() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the limit property: Limit.
limit() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the limit property: Limit.
limit() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the limit property: The maximum permitted usage of the resource.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the limits property: Command Job limit.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Get the limits property: [Required] Limit settings for model sweeping and hyperparameter sweeping.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Get the limits property: Resource limits for this instance type.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the limits property: Sweep Job limit.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the limitSettings property: Execution constraints for AutoMLJob.
LINEAR_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LinearRegression for StackMetaLearnerType.
LINEAR_SVM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LinearSVM for ClassificationModels.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Static value Linux for OperatingSystemType.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.OsType: Static value Linux for OsType.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Static value Linux for VMPriceOSType.
list() - Method in interface com.azure.resourcemanager.machinelearning.fluent.OperationsClient: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list() - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified subscription.
list() - Method in interface com.azure.resourcemanager.machinelearning.models.Operations: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified subscription.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OperationsClient: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Operations: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.UsagesClient: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.VirtualMachineSizesClient: Returns supported VM Sizes in a location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Usages: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizes: Returns supported VM Sizes in a location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.UsagesClient: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified subscription.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Usages: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified subscription.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists Batch inference endpoint in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: List component containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets computes in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: List data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: List datastores.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Lists Jobs in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List Online Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: List all the private endpoint connections associated with the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateLinkResourcesClient: Gets the private link resources that need to be created for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: List all connections under a AML workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceFeaturesClient: Lists all enabled features for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists Batch inference endpoint in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: List component containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets computes in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: List data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: List datastores.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Lists Jobs in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List Online Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: List all the private endpoint connections associated with the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResources: Gets the private link resources that need to be created for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: List all connections under a AML workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures: Lists all enabled features for a workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: List all the private endpoint connections associated with the workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceFeaturesClient: Lists all enabled features for a workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: List all the private endpoint connections associated with the workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures: Lists all enabled features for a workspace.
list(String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists Batch inference endpoint in the workspace.
list(String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists Batch inference endpoint in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Lists Batch inference deployments in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: List component versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: List model versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployments.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Lists Batch inference deployments in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: List component versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: List model versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployments.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets computes in specified workspace.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets computes in specified workspace.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: List component containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: List data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: List environment containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: List component containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: List data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: List environment containers.
list(String, String, String, Integer, EndpointComputeType, String, String, String, OrderString, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List Online Endpoints.
list(String, String, String, Integer, EndpointComputeType, String, String, String, OrderString, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List Online Endpoints.
list(String, String, String, Integer, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: List model containers.
list(String, String, String, Integer, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: List model containers.
list(String, String, String, Integer, Boolean, List<String>, String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: List datastores.
list(String, String, String, Integer, Boolean, List<String>, String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: List datastores.
list(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: List all connections under a AML workspace.
list(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: List all connections under a AML workspace.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Lists Batch inference deployments in the workspace.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: List versions.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployments.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Lists Batch inference deployments in the workspace.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: List versions.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployments.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: List component versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: List versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: List component versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: List versions.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: List data versions in the data container.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: List data versions in the data container.
list(String, String, String, String, String, ListViewType, Boolean, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Lists Jobs in the workspace.
list(String, String, String, String, String, ListViewType, Boolean, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Lists Jobs in the workspace.
list(String, String, String, String, String, Integer, String, String, Integer, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: List model versions.
list(String, String, String, String, String, Integer, String, String, Integer, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: List model versions.
ListAmlUserFeatureResult - Class in com.azure.resourcemanager.machinelearning.models: The List Aml user feature operation response.
ListAmlUserFeatureResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified resource group.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Lists batch Inference Endpoint keys.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Lists all the keys associated with this workspace.
listKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the keys associated with this workspace.
listKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the keys associated with this workspace.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists batch Inference Endpoint keys.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists batch Inference Endpoint keys.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Lists batch Inference Endpoint keys.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists batch Inference Endpoint keys.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists batch Inference Endpoint keys.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listNodes() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNotebookAccessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: return notebook access token and refresh token.
listNotebookAccessToken(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: return notebook access token and refresh token.
listNotebookAccessToken(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: return notebook access token and refresh token.
listNotebookKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List keys of a notebook.
listNotebookKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List keys of a notebook.
listNotebookKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List keys of a notebook.
ListNotebookKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListNotebookKeysResult.
ListNotebookKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListNotebookKeysResult model.
ListNotebookKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner
listNotebookKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List keys of a notebook.
listNotebookKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List keys of a notebook.
listNotebookKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List keys of a notebook.
listOutboundNetworkDependenciesEndpoints(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpoints(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpointsWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpointsWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listSecrets() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Get datastore secrets.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore secrets.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore secrets.
listSecretsWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Get datastore secrets.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore secrets.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore secrets.
listSkus(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployment Skus.
listStorageAccountKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List storage account keys of a workspace.
listStorageAccountKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List storage account keys of a workspace.
listStorageAccountKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List storage account keys of a workspace.
ListStorageAccountKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListStorageAccountKeysResult.
ListStorageAccountKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListStorageAccountKeysResult model.
ListStorageAccountKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner
listStorageAccountKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List storage account keys of a workspace.
listStorageAccountKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List storage account keys of a workspace.
listStorageAccountKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List storage account keys of a workspace.
ListUsagesResult - Class in com.azure.resourcemanager.machinelearning.models: The List Usages operation response.
ListUsagesResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListUsagesResult
ListViewType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ListViewType.
ListViewType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListViewType
listWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.VirtualMachineSizesClient: Returns supported VM Sizes in a location.
listWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizes: Returns supported VM Sizes in a location.
listWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateLinkResourcesClient: Gets the private link resources that need to be created for a workspace.
listWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResources: Gets the private link resources that need to be created for a workspace.
ListWorkspaceKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListWorkspaceKeysResult.
ListWorkspaceKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListWorkspaceKeysResult model.
ListWorkspaceKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner
ListWorkspaceQuotas - Class in com.azure.resourcemanager.machinelearning.models: The List WorkspaceQuotasByVMFamily operation response.
ListWorkspaceQuotas() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas
LITERAL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value Literal for JobInputType.
LiteralJobInput - Class in com.azure.resourcemanager.machinelearning.models: Literal input type.
LiteralJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.LiteralJobInput
livenessProbe() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the livenessProbe property: Liveness probe monitors the health of the container regularly.
livenessRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the livenessRoute property: The route to check the liveness of the inference server container.
loadBalancerSubnet() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the loadBalancerSubnet property: Load Balancer Subnet.
loadBalancerType() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the loadBalancerType property: Load Balancer Type.
LoadBalancerType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for LoadBalancerType.
LoadBalancerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.LoadBalancerType
LOCAL - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value Local for Autosave.
localizedValue() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Get the localizedValue property: The localized name of the resource.
localizedValue() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Get the localizedValue property: The localized name of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the location property: Specifies the location of the resource.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the location property: Specifies the location of the resource.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the location property: The geo-location where the resource lives.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the location property: The geo-location where the resource lives.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the location property: The geo-location where the resource lives.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the location property: The geo-location where the resource lives.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Get the location property: Region of workspace quota to be updated.
location() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the location property: The location property.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the location property: Specifies the location of the resource.
loggingLevel() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the loggingLevel property: Logging level for batch inference operation.
loggingLevel() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the loggingLevel property: Logging level for batch inference operation.
LOGISTIC_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LogisticRegression for ClassificationModels.
LOGISTIC_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LogisticRegression for StackMetaLearnerType.
LOGISTIC_REGRESSION_CV - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LogisticRegressionCV for StackMetaLearnerType.
logVerbosity() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Get the logVerbosity property: Log verbosity for the job.
LogVerbosity - Class in com.azure.resourcemanager.machinelearning.models: Defines values for LogVerbosity.
LogVerbosity() - Constructor for class com.azure.resourcemanager.machinelearning.models.LogVerbosity
LOW_PRIORITY - Static variable in class com.azure.resourcemanager.machinelearning.models.VmPriority: Static value LowPriority for VmPriority.
LOW_PRIORITY - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value LowPriority for VMTier.
lowPriorityCapable() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the lowPriorityCapable property: Low priority capable Specifies if the virtual machine size supports low priority VMs.
lun() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the lun property: The logical unit number.

M

MachineLearningManager - Class in com.azure.resourcemanager.machinelearning: Entry point to MachineLearningManager.
MachineLearningManager.Configurable - Class in com.azure.resourcemanager.machinelearning: The Configurable allowing configurations to be set.
MANAGED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value Managed for EndpointComputeType.
MANAGED - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value Managed for IdentityConfigurationType.
ManagedIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed identity configuration.
ManagedIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedIdentity
ManagedOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a ManagedOnlineDeployment.
ManagedOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment
ManagedServiceIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed service identity (system assigned and/or user assigned identities).
ManagedServiceIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity
ManagedServiceIdentityType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ManagedServiceIdentityType.
ManagedServiceIdentityType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType
MANUAL - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value Manual for SkuScaleType.
MAX - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Max for TargetAggregationFunction.
maxConcurrencyPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the maxConcurrencyPerInstance property: Indicates maximum number of parallelism per instance.
maxConcurrencyPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the maxConcurrencyPerInstance property: Indicates number of processes per instance.
maxConcurrentRequestsPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the maxConcurrentRequestsPerInstance property: The number of maximum concurrent requests per node allowed per deployment.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the maxConcurrentTrials property: Maximum number of concurrent AutoML iterations.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings: Get the maxConcurrentTrials property: Maximum number of concurrent iterations for the underlying Sweep job.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the maxConcurrentTrials property: Maximum Concurrent AutoML iterations.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the maxConcurrentTrials property: Sweep Job max concurrent trials.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxConcurrentTrials property: Maximum Concurrent iterations.
maxCoresPerTrial() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxCoresPerTrial property: Max cores per iteration.
MAXIMIZE - Static variable in class com.azure.resourcemanager.machinelearning.models.Goal: Static value Maximize for Goal.
maximum() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the maximum property: Gets or sets the maximum.
maxInstances() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the maxInstances property: The maximum number of instances that the deployment can scale to.
maxNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the maxNodeCount property: The maxNodeCount property.
maxNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the maxNodeCount property: Max number of nodes to use.
maxQueueWait() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the maxQueueWait property: The maximum amount of time a request will stay in the queue in ISO 8601 format.
maxResourceVolumeMB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the maxResourceVolumeMB property: Resource volume size The resource volume size, in MB, allowed by the virtual machine size.
maxRetries() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Get the maxRetries property: Maximum retry count for a mini-batch.
maxRetries() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings: Get the maxRetries property: Maximum retry count for a mini-batch.
maxSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
maxSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
maxTotalTrials() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the maxTotalTrials property: Sweep Job max total trials.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the maxTrials property: Maximum number of AutoML iterations.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings: Get the maxTrials property: Maximum number of iterations for the underlying Sweep job.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the maxTrials property: Number of AutoML iterations.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxTrials property: Number of iterations.
MEAN - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Mean for TargetAggregationFunction.
MEAN_AVERAGE_PRECISION - Static variable in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Static value MeanAveragePrecision for InstanceSegmentationPrimaryMetrics.
MEAN_AVERAGE_PRECISION - Static variable in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Static value MeanAveragePrecision for ObjectDetectionPrimaryMetrics.
MEDIAN_STOPPING - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value MedianStopping for EarlyTerminationPolicyType.
MedianStoppingPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy based on running averages of the primary metric of all runs.
MedianStoppingPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy
MEDIUM - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Medium for ModelSize.
memory() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the memory property: Memory size request/limit for container.
memoryGB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the memoryGB property: Memory size The amount of memory, in GB, supported by the virtual machine size.
message() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the message property: Message of workspace setup error.
MIN - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Min for TargetAggregationFunction.
miniBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
miniBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
MINIMIZE - Static variable in class com.azure.resourcemanager.machinelearning.models.Goal: Static value Minimize for Goal.
minimum() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the minimum property: Gets or sets the minimum.
minInstances() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the minInstances property: The minimum number of instances to always be present.
minNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the minNodeCount property: The minNodeCount property.
minNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the minNodeCount property: Min number of nodes to use.
minSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
minSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
MINUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Minute for RecurrenceFrequency.
minutes() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Get the minutes property: [Required] List of minutes for recurrence schedule pattern.
mirrorTraffic() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Get the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
mirrorTraffic() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Get the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
MLFLOW_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value MLFlowModel for JobInputType.
MLFLOW_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value MLFlowModel for JobOutputType.
MLFLOW_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelType: Static value MLFlowModel for ModelType.
MLFlowModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The MLFlowModelJobInput model.
MLFlowModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput
MLFlowModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The MLFlowModelJobOutput model.
MLFlowModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput
mlFlowTrackingUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value MLTable for DataType.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value MLTable for JobInputType.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value MLTable for JobOutputType.
MLTableData - Class in com.azure.resourcemanager.machinelearning.models: MLTable data definition.
MLTableData() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableData
MLTableJobInput - Class in com.azure.resourcemanager.machinelearning.models: The MLTableJobInput model.
MLTableJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableJobInput
MLTableJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The MLTableJobOutput model.
MLTableJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the mode property: Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Get the mode property: Output Asset Delivery Mode.
model() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the model property: Reference to the model asset for the endpoint deployment.
model() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the model property: The URI path to the model.
model() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the model property: Reference to the model asset for the endpoint deployment.
ModelContainerData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ModelContainerData.
ModelContainerData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ModelContainerData definition.
ModelContainerData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelContainerData definition stages.
ModelContainerData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ModelContainerData definition.
ModelContainerData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainerData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ModelContainerData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainerData definition allowing to specify parent resource.
ModelContainerData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainerData definition allowing to specify properties.
ModelContainerData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ModelContainerData update.
ModelContainerData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelContainerData update stages.
ModelContainerData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainerData update allowing to specify properties.
ModelContainerDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ModelContainerDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner
ModelContainerDetails - Class in com.azure.resourcemanager.machinelearning.models: The ModelContainerDetails model.
ModelContainerDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails
ModelContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ModelContainer entities.
ModelContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult
modelContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ModelContainers.
ModelContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ModelContainers.
ModelContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ModelContainersClient.
modelMountPath() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the modelMountPath property: The path to mount the model in custom container.
modelName() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the modelName property: Name of the model to use for training.
modelName() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the modelName property: Name of the model to use for training.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Get the modelSettings property: Settings used for training the model.
modelSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the modelSize property: Model size.
modelSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the modelSize property: Model size.
ModelSize - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ModelSize.
ModelSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelSize
modelType() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Get the modelType property: The storage format for this entity.
ModelType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ModelType.
ModelType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelType
modelUri() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Get the modelUri property: The URI path to the model contents.
ModelVersionData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ModelVersionData.
ModelVersionData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ModelVersionData definition.
ModelVersionData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelVersionData definition stages.
ModelVersionData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ModelVersionData definition.
ModelVersionData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersionData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ModelVersionData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersionData definition allowing to specify parent resource.
ModelVersionData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersionData definition allowing to specify properties.
ModelVersionData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ModelVersionData update.
ModelVersionData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelVersionData update stages.
ModelVersionData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersionData update allowing to specify properties.
ModelVersionDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ModelVersionDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner
ModelVersionDetails - Class in com.azure.resourcemanager.machinelearning.models: Model asset version details.
ModelVersionDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails
ModelVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ModelVersion entities.
ModelVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult
modelVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ModelVersions.
ModelVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ModelVersions.
ModelVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ModelVersionsClient.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the modifiedOn property: The time at which the compute was last modified.
momentum() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the momentum property: Value of momentum when optimizer is 'sgd'.
momentum() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the momentum property: Value of momentum when optimizer is 'sgd'.
MONDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Monday for Weekday.
MONTH - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Month for RecurrenceFrequency.
MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.MountAction: Static value Mount for MountAction.
MOUNT_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value MountFailed for MountState.
MOUNT_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value MountRequested for MountState.
mountAction() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountAction property: Mount Action.
MountAction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MountAction.
MountAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.MountAction
MOUNTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value Mounted for MountState.
mountedOn() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountedOn property: Mounted time.
mountName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountName property: name of the ComputeInstance data mount.
mountPath() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountPath property: Path of this data mount.
mountState() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountState property: Mount state.
MountState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MountState.
MountState() - Constructor for class com.azure.resourcemanager.machinelearning.models.MountState
Mpi - Class in com.azure.resourcemanager.machinelearning.models: MPI distribution configuration.
Mpi() - Constructor for class com.azure.resourcemanager.machinelearning.models.Mpi
MPI - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value Mpi for DistributionType.
MULTINOMIAL_NAIVE_BAYES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value MultinomialNaiveBayes for ClassificationModels.
multiScale() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
multiScale() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the multiScale property: Enable multi-scale image by varying image size by +/- 50%.

N

NAIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Naive for ForecastingModels.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Get the name property: Operation name: {provider}/{resource}/{operation}.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the name property: Name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the name property: The name of the type of usage.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlOperation: Gets the name property: Operation name: {provider}/{resource}/{operation}.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the name property: Name of the ComputeInstance container.
name() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Get the name property: name of environment.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the name property: The name of the SKU.
name() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Get the name property: The name property.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the name property: Name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the name property: Unique name of the private link.
name() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the name property: The name of the SKU.
name() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Get the name property: [Required] The name of the SKU.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the name property: The name of the type of usage.
name() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the name property: Virtual Machine size name The name of the virtual machine size.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the name property: The name of the resource.
nameNodeAddress() - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Get the nameNodeAddress property: [Required] IP Address or DNS HostName.
namespace() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the namespace property: Compute namespace.
nCrossValidations() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
NCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations value.
NCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.NCrossValidations
NCrossValidationsMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for NCrossValidationsMode.
NCrossValidationsMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode
nesterov() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the nesterov property: Enable nesterov when optimizer is 'sgd'.
nesterov() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the nesterov property: Enable nesterov when optimizer is 'sgd'.
network() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the network property: network of this container.
Network - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Network.
Network() - Constructor for class com.azure.resourcemanager.machinelearning.models.Network
networkSecurityRuleResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the networkSecurityRuleResults property: The networkSecurityRuleResults property.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Get the nextLink property: The URI to fetch the next page of workspace quota update result.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Get the nextLink property: The continuation token.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of BatchDeployment objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of BatchEndpoint objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of CodeContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of CodeVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ComponentContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ComponentVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of DataContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Get the nextLink property: The link to the next page of Datastore objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Get the nextLink property: The link to the next page of DataVersionBase objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of EnvironmentContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of EnvironmentVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Get the nextLink property: The link to the next page of JobBase objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Get the nextLink property: The URI to fetch the next page of AML user features information.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Get the nextLink property: The URI to fetch the next page of AML resource usage information.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Get the nextLink property: The URI to fetch the next page of workspace quota information by VM Family.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ModelContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ModelVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of OnlineDeployment objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of OnlineEndpoint objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Get the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList: Get the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Get the nextLink property: The link to the next page of SkuResource objects.
nextLink() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the nextLink property: The URI to fetch the next page of workspace quota update result.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Get the nextLink property: The URI that can be used to request the next list of machine learning workspaces.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the nextVersion property: The next auto incremental version.
NlpVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for NLP related AutoML tasks.
NlpVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVertical
NlpVerticalDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Class for data inputs.
NlpVerticalDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings
NlpVerticalFeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: The NlpVerticalFeaturizationSettings model.
NlpVerticalFeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings
NlpVerticalLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Job execution constraints.
NlpVerticalLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings
NlpVerticalValidationDataSettings - Class in com.azure.resourcemanager.machinelearning.models: The NlpVerticalValidationDataSettings model.
NlpVerticalValidationDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalValidationDataSettings
nmsIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
nmsIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
nodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeCount property: The number of compute nodes currently assigned to the compute.
nodeId() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the nodeId property: Node ID.
nodeIdleTimeBeforeScaleDown() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the nodeIdleTimeBeforeScaleDown property: Node Idle Time before scaling down amlCompute.
nodes() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Get the nodes property: The collection of returned AmlCompute nodes details.
nodeSelector() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Get the nodeSelector property: Node Selector.
nodeSize() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeSize property: Node size.
nodeSizeFamily() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeSizeFamily property: Node size family.
nodeState() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the nodeState property: State of the compute node.
NodeState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for NodeState.
NodeState() - Constructor for class com.azure.resourcemanager.machinelearning.models.NodeState
nodeStateCounts() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the nodeStateCounts property: Counts of various node states on the compute.
NodeStateCounts - Class in com.azure.resourcemanager.machinelearning.models: Counts of various compute node states on the amlCompute.
NodeStateCounts() - Constructor for class com.azure.resourcemanager.machinelearning.models.NodeStateCounts
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value None for Autosave.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value None for Caching.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value None for CredentialsType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Static value None for FeatureLags.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value None for LearningRateScheduler.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value None for ManagedServiceIdentityType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value None for ModelSize.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value None for ServiceDataAccessAuthIdentity.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value None for ShortSeriesHandlingConfiguration.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value None for SkuScaleType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value None for StackMetaLearnerType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value None for StochasticOptimizer.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value None for TargetAggregationFunction.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value None for UseStl.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value None for ValidationMetricType.
NoneDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Empty/none datastore credentials.
NoneDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials
NORM_MACRO_RECALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value NormMacroRecall for ClassificationMultilabelPrimaryMetrics.
NORM_MACRO_RECALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value NormMacroRecall for ClassificationPrimaryMetrics.
NORMALIZED_MEAN_ABSOLUTE_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value NormalizedMeanAbsoluteError for ForecastingPrimaryMetrics.
NORMALIZED_MEAN_ABSOLUTE_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value NormalizedMeanAbsoluteError for RegressionPrimaryMetrics.
NORMALIZED_ROOT_MEAN_SQUARED_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value NormalizedRootMeanSquaredError for ForecastingPrimaryMetrics.
NORMALIZED_ROOT_MEAN_SQUARED_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value NormalizedRootMeanSquaredError for RegressionPrimaryMetrics.
NOT_RESPONDING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value NotResponding for JobStatus.
NOT_SET - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value NotSet for LogVerbosity.
NOT_SPECIFIED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value NotSpecified for RemoteLoginPortPublicAccess.
NOT_STARTED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value NotStarted for JobStatus.
notebookAccessKeys() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the notebookAccessKeys property: The notebookAccessKeys property.
notebookAccessKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the notebookAccessKeys property: The notebookAccessKeys property.
NotebookAccessTokenResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of NotebookAccessTokenResult.
NotebookAccessTokenResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The NotebookAccessTokenResult model.
NotebookAccessTokenResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner
notebookInfo() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the notebookInfo property: The notebook info of Azure ML workspace.
notebookPreparationError() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the notebookPreparationError property: The error that occurs when preparing notebook.
notebookPreparationError() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the notebookPreparationError property: The error that occurs when preparing notebook.
NotebookPreparationError - Class in com.azure.resourcemanager.machinelearning.models: The NotebookPreparationError model.
NotebookPreparationError() - Constructor for class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError
notebookResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the notebookResourceId property: The notebookResourceId property.
notebookResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the notebookResourceId property: The notebookResourceId property.
NotebookResourceInfo - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of NotebookResourceInfo.
NotebookResourceInfoInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The NotebookResourceInfo model.
NotebookResourceInfoInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner
notebookServerPort() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the notebookServerPort property: Notebook server port open for ssh connections.
nsg() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the nsg property: Setting for diagnosing network security group.
numberOfEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the numberOfEpochs property: Number of training epochs.
numberOfEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the numberOfEpochs property: Number of training epochs.
numberOfWorkers() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the numberOfWorkers property: Number of data loader workers.
numberOfWorkers() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the numberOfWorkers property: Number of data loader workers.

O

ObjectDetectionPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ObjectDetectionPrimaryMetrics.
ObjectDetectionPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics
objectId() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Get the objectId property: User’s AAD Object Id.
objectId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the objectId property: Specifies a user-assigned identity by object ID.
objective() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the objective property: [Required] Optimization objective.
Objective - Class in com.azure.resourcemanager.machinelearning.models: Optimization objective.
Objective() - Constructor for class com.azure.resourcemanager.machinelearning.models.Objective
OFF - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Off for FeaturizationMode.
ONE_HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Static value OneHour for UnitOfMeasure.
OnlineDeploymentData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of OnlineDeploymentData.
OnlineDeploymentData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the OnlineDeploymentData definition.
OnlineDeploymentData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineDeploymentData definition stages.
OnlineDeploymentData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the OnlineDeploymentData definition.
OnlineDeploymentData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
OnlineDeploymentData.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify identity.
OnlineDeploymentData.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify kind.
OnlineDeploymentData.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify location.
OnlineDeploymentData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify parent resource.
OnlineDeploymentData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify properties.
OnlineDeploymentData.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify sku.
OnlineDeploymentData.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData definition allowing to specify tags.
OnlineDeploymentData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for OnlineDeploymentData update.
OnlineDeploymentData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineDeploymentData update stages.
OnlineDeploymentData.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData update allowing to specify identity.
OnlineDeploymentData.UpdateStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData update allowing to specify kind.
OnlineDeploymentData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData update allowing to specify properties.
OnlineDeploymentData.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData update allowing to specify sku.
OnlineDeploymentData.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeploymentData update allowing to specify tags.
OnlineDeploymentDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The OnlineDeploymentData model.
OnlineDeploymentDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner
OnlineDeploymentDetails - Class in com.azure.resourcemanager.machinelearning.models: The OnlineDeploymentDetails model.
OnlineDeploymentDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails
onlineDeployments() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of OnlineDeployments.
OnlineDeployments - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of OnlineDeployments.
OnlineDeploymentsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OnlineDeploymentsClient.
OnlineDeploymentTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of OnlineDeployment entities.
OnlineDeploymentTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult
OnlineEndpointData - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of OnlineEndpointData.
OnlineEndpointData.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the OnlineEndpointData definition.
OnlineEndpointData.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineEndpointData definition stages.
OnlineEndpointData.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the OnlineEndpointData definition.
OnlineEndpointData.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
OnlineEndpointData.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify identity.
OnlineEndpointData.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify kind.
OnlineEndpointData.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify location.
OnlineEndpointData.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify parent resource.
OnlineEndpointData.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify properties.
OnlineEndpointData.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify sku.
OnlineEndpointData.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData definition allowing to specify tags.
OnlineEndpointData.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for OnlineEndpointData update.
OnlineEndpointData.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineEndpointData update stages.
OnlineEndpointData.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData update allowing to specify identity.
OnlineEndpointData.UpdateStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData update allowing to specify kind.
OnlineEndpointData.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData update allowing to specify properties.
OnlineEndpointData.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData update allowing to specify sku.
OnlineEndpointData.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpointData update allowing to specify tags.
OnlineEndpointDataInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The OnlineEndpointData model.
OnlineEndpointDataInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner
OnlineEndpointDetails - Class in com.azure.resourcemanager.machinelearning.models: Online endpoint configuration.
OnlineEndpointDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails
onlineEndpoints() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of OnlineEndpoints.
OnlineEndpoints - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of OnlineEndpoints.
OnlineEndpointsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OnlineEndpointsClient.
OnlineEndpointTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of OnlineEndpoint entities.
OnlineEndpointTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult
OnlineRequestSettings - Class in com.azure.resourcemanager.machinelearning.models: Online deployment scoring requests configuration.
OnlineRequestSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings
OnlineScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: Online deployment scaling configuration.
OnlineScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings
OperatingSystemType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OperatingSystemType.
OperatingSystemType() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperatingSystemType
operation() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Get the operation property: The operation that users can perform.
OPERATION_NOT_ENABLED_FOR_REGION - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value OperationNotEnabledForRegion for Status.
OPERATION_NOT_SUPPORTED_FOR_SKU - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value OperationNotSupportedForSku for Status.
operationName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationName property: Name of the last operation.
OperationName - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OperationName.
OperationName() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationName
operations() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Operations.
Operations - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Operations.
OperationsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OperationsClient.
operationStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationStatus property: Operation status.
OperationStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OperationStatus.
OperationStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationStatus
operationTime() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationTime property: Time of the last operation.
operationTrigger() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationTrigger property: Trigger of operation.
OperationTrigger - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OperationTrigger.
OperationTrigger() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationTrigger
optimizer() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the optimizer property: Type of optimizer.
optimizer() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the optimizer property: Type of optimizer.
OrderString - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OrderString.
OrderString() - Constructor for class com.azure.resourcemanager.machinelearning.models.OrderString
osType() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the osType property: Compute OS Type.
osType() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Get the osType property: The OS type of the environment.
osType() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the osType property: OS type Operating system type used by the VM.
OsType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OsType.
OsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.OsType
osVhdSizeMB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the osVhdSizeMB property: OS VHD Disk size The OS VHD disk size, in MB, allowed by the virtual machine size.
otherResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the otherResults property: The otherResults property.
others() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the others property: Setting for diagnosing unclassified category of problems.
OUTPUT_PATH - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value OutputPath for ReferenceType.
outputAction() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the outputAction property: Indicates how the output will be organized.
outputAction() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the outputAction property: Indicates how the output will be organized.
OutputDeliveryMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OutputDeliveryMode.
OutputDeliveryMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode
outputFileName() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the outputFileName property: Customized output file name for append_row output action.
outputFileName() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the outputFileName property: Customized output file name for append_row output action.
OutputPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a job output.
OutputPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the outputs property: Mapping of output data bindings used in the job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the outputs property: Mapping of output data bindings used in the job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the outputs property: Outputs for the pipeline job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the outputs property: Mapping of output data bindings used in the job.
overwriteExistingDomain() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the overwriteExistingDomain property: Indicates whether to overwrite existing domain label.

P

PAD - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Pad for ShortSeriesHandlingConfiguration.
PaginatedComputeResourcesList - Class in com.azure.resourcemanager.machinelearning.models: Paginated list of Machine Learning compute objects wrapped in ARM resource envelope.
PaginatedComputeResourcesList() - Constructor for class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList
PaginatedWorkspaceConnectionsList - Class in com.azure.resourcemanager.machinelearning.models: Paginated list of Workspace connection objects.
PaginatedWorkspaceConnectionsList() - Constructor for class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList
parameters() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Get the parameters property: Different properties to be passed to transformer.
parameters() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the parameters property: Input parameters.
parameterServerCount() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Get the parameterServerCount property: Number of parameter server tasks.
PartialAssetReferenceBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition for asset references.
PartialAssetReferenceBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialAssetReferenceBase
PartialBatchDeployment - Class in com.azure.resourcemanager.machinelearning.models: Mutable batch inference settings per deployment.
PartialBatchDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment
PartialBatchDeploymentPartialTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialBatchDeploymentPartialTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource
PartialBatchEndpoint - Class in com.azure.resourcemanager.machinelearning.models: Mutable Batch endpoint configuration.
PartialBatchEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpoint
PartialBatchEndpointPartialTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialBatchEndpointPartialTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource
PartialBatchRetrySettings - Class in com.azure.resourcemanager.machinelearning.models: Retry settings for a batch inference operation.
PartialBatchRetrySettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings
PartialCodeConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Configuration for a scoring code asset.
PartialCodeConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration
PartialDataPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a datastore.
PartialDataPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference
PartialIdAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its ARM resource ID.
PartialIdAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialIdAssetReference
PartialKubernetesOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a KubernetesOnlineDeployment.
PartialKubernetesOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialKubernetesOnlineDeployment
PartialManagedOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a ManagedOnlineDeployment.
PartialManagedOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialManagedOnlineDeployment
PartialManagedServiceIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed service identity (system assigned and/or user assigned identities).
PartialManagedServiceIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity
PartialOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Mutable online deployment configuration.
PartialOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeployment
PartialOnlineDeploymentPartialTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialOnlineDeploymentPartialTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource
PartialOnlineEndpoint - Class in com.azure.resourcemanager.machinelearning.models: Mutable online endpoint configuration.
PartialOnlineEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint
PartialOnlineEndpointPartialTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialOnlineEndpointPartialTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource
PartialOutputPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a job output.
PartialOutputPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference
PartialSku - Class in com.azure.resourcemanager.machinelearning.models: Common SKU definition.
PartialSku() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialSku
password() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the password property: Password of admin account.
Password - Class in com.azure.resourcemanager.machinelearning.models: The Password model.
Password() - Constructor for class com.azure.resourcemanager.machinelearning.models.Password
passwords() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the passwords property: The passwords property.
path() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Get the path property: The path of the file/directory in the datastore.
path() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Get the path property: The path of the file/directory in the job output.
path() - Method in class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference: Get the path property: The path of the file/directory in the datastore.
path() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference: Get the path property: The path of the file/directory in the job output.
path() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Get the path property: [Required] The path for the route.
pattern() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the pattern property: Specifies the recurrence schedule pattern.
PAUSED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Paused for JobStatus.
PENDING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Pending for PrivateEndpointServiceConnectionStatus.
period() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the period property: The length of time between probes in ISO 8601 format.
PERSONAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Static value Personal for ApplicationSharingPolicy.
PERSONAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Static value personal for ComputeInstanceAuthorizationType.
personalComputeInstanceSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the personalComputeInstanceSettings property: Settings for a personal compute instance.
PersonalComputeInstanceSettings - Class in com.azure.resourcemanager.machinelearning.models: Settings for a personal compute instance.
PersonalComputeInstanceSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings
PIPELINE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Pipeline for JobType.
PipelineJob - Class in com.azure.resourcemanager.machinelearning.models: Pipeline Job definition: defines generic to MFE attributes.
PipelineJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.PipelineJob
pollingInterval() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the pollingInterval property: The polling interval in ISO 8691 format.
poolName() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the poolName property: Pool name.
port() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the port property: Port.
port() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Get the port property: The port property.
port() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the port property: Port for endpoint.
port() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Get the port property: [Required] The port for the route.
PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value PrecisionScoreWeighted for ClassificationMultilabelPrimaryMetrics.
PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value PrecisionScoreWeighted for ClassificationPrimaryMetrics.
PREEMPTED - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value preempted for NodeState.
preemptedNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the preemptedNodeCount property: Preempted node count.
PREMIUM - com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Premium.
PREMIUM_LRS - Static variable in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Static value Premium_LRS for StorageAccountType.
premiumIO() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the premiumIO property: Premium IO supported Specifies if the virtual machine size supports premium IO.
prepareNotebook() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Prepare a notebook.
prepareNotebook(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Prepare a notebook.
prepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
prepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Prepare a notebook.
prepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
prepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Prepare a notebook.
PREPARING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Preparing for JobStatus.
PREPARING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value preparing for NodeState.
preparingNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the preparingNodeCount property: Preparing node count.
PRIMARY - Static variable in class com.azure.resourcemanager.machinelearning.models.KeyType: Static value Primary for KeyType.
primaryAccessKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Get the primaryAccessKey property: The primaryAccessKey property.
primaryAccessKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the primaryAccessKey property: The primaryAccessKey property.
primaryKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Get the primaryKey property: The primary key.
primaryKey() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the primaryKey property: The primary key.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the primaryMetric property: Primary metric for the task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the primaryMetric property: Primary metric for forecasting task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Get the primaryMetric property: [Required] Name of the metric to optimize.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the primaryMetric property: Primary metric for regression task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the primaryMetric property: Primary metric for Text-Classification task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the primaryMetric property: Primary metric for Text-Classification-Multilabel task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the primaryMetric property: Primary metric for Text-NER task.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
principalId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the principalId property: The service principal ID of the system assigned identity.
principalId() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Get the principalId property: The principal ID of the assigned identity.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the privateEndpoint property: The resource of private end point.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the privateEndpoint property: The resource of private end point.
privateEndpoint() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the privateEndpoint property: The resource of private end point.
PrivateEndpoint - Class in com.azure.resourcemanager.machinelearning.models: The Private Endpoint resource.
PrivateEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint
PrivateEndpointConnection - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of PrivateEndpointConnection.
PrivateEndpointConnection.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the PrivateEndpointConnection definition.
PrivateEndpointConnection.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The PrivateEndpointConnection definition stages.
PrivateEndpointConnection.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the PrivateEndpointConnection definition.
PrivateEndpointConnection.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
PrivateEndpointConnection.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify identity.
PrivateEndpointConnection.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify location.
PrivateEndpointConnection.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify parent resource.
PrivateEndpointConnection.DefinitionStages.WithPrivateEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify privateEndpoint.
PrivateEndpointConnection.DefinitionStages.WithPrivateLinkServiceConnectionState - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify privateLinkServiceConnectionState.
PrivateEndpointConnection.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify sku.
PrivateEndpointConnection.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify tags.
PrivateEndpointConnection.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for PrivateEndpointConnection update.
PrivateEndpointConnection.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The PrivateEndpointConnection update stages.
PrivateEndpointConnection.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify identity.
PrivateEndpointConnection.UpdateStages.WithPrivateEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify privateEndpoint.
PrivateEndpointConnection.UpdateStages.WithPrivateLinkServiceConnectionState - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify privateLinkServiceConnectionState.
PrivateEndpointConnection.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify sku.
PrivateEndpointConnection.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify tags.
PrivateEndpointConnectionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The Private Endpoint Connection resource.
PrivateEndpointConnectionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner
PrivateEndpointConnectionListResult - Class in com.azure.resourcemanager.machinelearning.models: List of private endpoint connection associated with the specified workspace.
PrivateEndpointConnectionListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult
PrivateEndpointConnectionProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of the PrivateEndpointConnectProperties.
PrivateEndpointConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties
PrivateEndpointConnectionProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for PrivateEndpointConnectionProvisioningState.
PrivateEndpointConnectionProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of PrivateEndpointConnections.
privateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the privateEndpointConnections property: The list of private endpoint connections in the workspace.
PrivateEndpointConnections - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of PrivateEndpointConnections.
PrivateEndpointConnectionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in PrivateEndpointConnectionsClient.
PrivateEndpointServiceConnectionStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for PrivateEndpointServiceConnectionStatus.
PrivateEndpointServiceConnectionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus
privateIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the privateIpAddress property: Private IP address.
privateIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Get the privateIpAddress property: Private IP Address of this ComputeInstance (local to the VNET in which the compute instance is deployed).
privateKeyData() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the privateKeyData property: Private key data.
privateLinkCount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the privateLinkCount property: Count of private connections in the workspace.
PrivateLinkResource - Class in com.azure.resourcemanager.machinelearning.models: A private link resource.
PrivateLinkResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource
privateLinkResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the privateLinkResourceId property: The resource id that private link links to.
privateLinkResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the privateLinkResourceId property: The resource id that private link links to.
PrivateLinkResourceListResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of PrivateLinkResourceListResult.
PrivateLinkResourceListResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: A list of private link resources.
PrivateLinkResourceListResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner
PrivateLinkResourceProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of a private link resource.
PrivateLinkResourceProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties
privateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of PrivateLinkResources.
PrivateLinkResources - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of PrivateLinkResources.
PrivateLinkResourcesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in PrivateLinkResourcesClient.
privateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
privateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
privateLinkServiceConnectionState() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
PrivateLinkServiceConnectionState - Class in com.azure.resourcemanager.machinelearning.models: A collection of information about the state of the connection between service consumer and provider.
PrivateLinkServiceConnectionState() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState
privateNetworkConnection() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the privateNetworkConnection property: If true, enable private network connection.
ProbeSettings - Class in com.azure.resourcemanager.machinelearning.models: Deployment container liveness/readiness probe configuration.
ProbeSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProbeSettings
processCountPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Get the processCountPerInstance property: Number of processes per MPI node.
processCountPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Get the processCountPerInstance property: Number of processes per node.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Get the properties property: Properties of ClusterUpdate.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the properties property: Property dictionary.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the properties property: AKS properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Get the properties property: AKS properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the properties property: Properties of AmlCompute.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Get the properties property: Properties of AmlCompute.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Get the properties property: Properties of ClusterUpdate.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the properties property: Properties of ComputeInstance.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Get the properties property: Properties of ComputeInstance.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Get the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the properties property: Properties of Databricks.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Get the properties property: Properties of Databricks.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Get the properties property: The properties property.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the properties property: Property dictionary.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the properties property: Property dictionary.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the properties property: HDInsight compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Get the properties property: HDInsight compute properties.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the properties property: Additional properties to set on the endpoint.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the properties property: Properties of Kubernetes.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Get the properties property: Properties of Kubernetes.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the properties property: Property dictionary.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the properties property: Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the properties property: Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the properties property: Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the properties property: Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the properties property: The asset property dictionary.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the properties property: Additional properties bag.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Get the properties property: The properties property.
propertyBag() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the propertyBag property: A property bag containing additional properties.
PROPHET - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Prophet for ForecastingModels.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Get the protocol property: Protocol used to communicate with the storage account (Https/Http).
provider() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Get the provider property: The resource provider name: Microsoft.MachineLearningExperimentation.
PROVISIONING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Provisioning for JobStatus.
PROVISIONING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Provisioning for ProvisioningStatus.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the provisioningErrors property: Errors during provisioning.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Get the provisioningState property: Provisioning state for the endpoint.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Get the provisioningState property: Provisioning state for the endpoint.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the provisioningState property: The current deployment state of workspace resource.
ProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ProvisioningState.
ProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProvisioningState
provisioningStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the provisioningStatus property: The current deployment state of schedule.
ProvisioningStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ProvisioningStatus.
ProvisioningStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus
PUBLIC_IP - Static variable in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Static value PublicIp for LoadBalancerType.
publicDns() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the publicDns property: The publicDns property.
publicDns() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the publicDns property: The publicDns property.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the publicIpAddress property: Public IP address.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Get the publicIpAddress property: Public IP Address of this ComputeInstance.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the publicIpAddress property: Public IP address.
publicKeyData() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the publicKeyData property: Public key data.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Get the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Get the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
PublicNetworkAccess - Class in com.azure.resourcemanager.machinelearning.models: Defines values for PublicNetworkAccess.
PublicNetworkAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess
PublicNetworkAccessType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for PublicNetworkAccessType.
PublicNetworkAccessType() - Constructor for class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType
PY_TORCH - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value PyTorch for DistributionType.
PyTorch - Class in com.azure.resourcemanager.machinelearning.models: PyTorch distribution configuration.
PyTorch() - Constructor for class com.azure.resourcemanager.machinelearning.models.PyTorch

Q

QUEUED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Queued for JobStatus.
QuotaBaseProperties - Class in com.azure.resourcemanager.machinelearning.models: The properties for Quota update or retrieval.
QuotaBaseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties
quotas() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Quotas.
Quotas - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Quotas.
QuotasClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in QuotasClient.
QuotaUnit - Class in com.azure.resourcemanager.machinelearning.models: Defines values for QuotaUnit.
QuotaUnit() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaUnit
QuotaUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: Quota update parameters.
QuotaUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters

R

R2SCORE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value R2Score for ForecastingPrimaryMetrics.
R2SCORE - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value R2Score for RegressionPrimaryMetrics.
RANDOM - Static variable in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Static value Random for RandomSamplingAlgorithmRule.
RANDOM - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Random for SamplingAlgorithmType.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value RandomForest for ClassificationModels.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value RandomForest for ForecastingModels.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value RandomForest for RegressionModels.
RandomSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that generates values randomly.
RandomSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm
RandomSamplingAlgorithmRule - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RandomSamplingAlgorithmRule.
RandomSamplingAlgorithmRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule
randomSeed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the randomSeed property: Random seed to be used when using deterministic training.
randomSeed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the randomSeed property: Random seed to be used when using deterministic training.
READ_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value ReadOnly for Caching.
READ_ONLY_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value ReadOnlyMount for InputDeliveryMode.
READ_WRITE - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value ReadWrite for Caching.
READ_WRITE_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value ReadWriteMount for InputDeliveryMode.
READ_WRITE_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Static value ReadWriteMount for OutputDeliveryMode.
readinessProbe() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
readinessRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the readinessRoute property: The route to check the readiness of the inference server container.
RECURRENCE - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleType: Static value Recurrence for ScheduleType.
RecurrenceFrequency - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RecurrenceFrequency.
RecurrenceFrequency() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency
RecurrencePattern - Class in com.azure.resourcemanager.machinelearning.models: Recurrence schedule pattern definition.
RecurrencePattern() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrencePattern
RecurrenceSchedule - Class in com.azure.resourcemanager.machinelearning.models: Recurrence schedule definition.
RecurrenceSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule
referencedUris() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Get the referencedUris property: Uris referenced in the MLTable definition (required for lineage).
ReferenceType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ReferenceType.
ReferenceType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ReferenceType
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Refreshes the resource to sync with Azure.
refreshAfterTimeUtc() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the refreshAfterTimeUtc property: Refresh access token after time (UTC).
refreshAfterTimeUtc() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the refreshAfterTimeUtc property: Refresh access token after time (UTC).
refreshToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the refreshToken property: The refreshToken property.
refreshToken() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the refreshToken property: The refreshToken property.
RegenerateEndpointKeysRequest - Class in com.azure.resourcemanager.machinelearning.models: The RegenerateEndpointKeysRequest model.
RegenerateEndpointKeysRequest() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest
regenerateKeys(RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
region() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the region of the resource.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name of the resource region.
RegistryListCredentialsResult - Class in com.azure.resourcemanager.machinelearning.models: The RegistryListCredentialsResult model.
RegistryListCredentialsResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult
Regression - Class in com.azure.resourcemanager.machinelearning.models: Regression task in AutoML Table vertical.
Regression() - Constructor for class com.azure.resourcemanager.machinelearning.models.Regression
REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Regression for TaskType.
RegressionModels - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RegressionModels.
RegressionModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegressionModels
RegressionPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RegressionPrimaryMetrics.
RegressionPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics
REIMAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Reimage for OperationName.
REIMAGE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value ReimageFailed for OperationStatus.
REJECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Rejected for PrivateEndpointServiceConnectionStatus.
relayConnectionString() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the relayConnectionString property: Relay connection string.
REMOTE - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value Remote for Autosave.
remoteLoginPortPublicAccess() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the remoteLoginPortPublicAccess property: Close remote Login Access Port State of the public SSH port.
RemoteLoginPortPublicAccess - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RemoteLoginPortPublicAccess.
RemoteLoginPortPublicAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess
requestMessage() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the requestMessage property: Request message.
requestMessage() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the requestMessage property: Request message.
requests() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Get the requests property: Resource requests for this instance type.
requestSettings() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the requestSettings property: Request settings for the deployment.
requestTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the requestTimeout property: The scoring timeout in ISO 8601 format.
requiredMembers() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the requiredMembers property: The private link resource required member names.
requiredMembers() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the requiredMembers property: The private link resource required member names.
requiredZoneNames() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the requiredZoneNames property: The private link resource Private link DNS zone name.
requiredZoneNames() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the requiredZoneNames property: The private link resource Private link DNS zone name.
RESIZING - Static variable in class com.azure.resourcemanager.machinelearning.models.AllocationState: Static value Resizing for AllocationState.
resource() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Get the resource property: The resource on which the operation is performed.
ResourceBase - Class in com.azure.resourcemanager.machinelearning.models: The ResourceBase model.
ResourceBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceBase
ResourceConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The ResourceConfiguration model.
ResourceConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the resourceGroup property: Name of the resource group in which workspace is located.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name of the resource group.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the resourceId property: the data plane resourceId that used to initialize notebook component.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the resourceId property: ARM resource id of the underlying compute.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the resourceId property: Specifies a user-assigned identity by ARM resource ID.
resourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the resourceId property: the data plane resourceId that used to initialize notebook component.
ResourceId - Class in com.azure.resourcemanager.machinelearning.models: Represents a resource ID.
ResourceId() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceId
resourceLock() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the resourceLock property: Setting for diagnosing resource lock.
resourceLockResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the resourceLockResults property: The resourceLockResults property.
ResourceName - Class in com.azure.resourcemanager.machinelearning.models: The Resource Name.
ResourceName() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceName
ResourceQuota - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ResourceQuota.
ResourceQuotaInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The quota assigned to a resource.
ResourceQuotaInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner
resources() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the resources property: Compute Resource configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the resources property: Indicates compute configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the resources property: Compute Resource configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Get the resources property: Resource requests/limits for this instance type.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the resources property: Compute Resource configuration for the job.
resourceType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the resourceType property: The resource type name.
resourceType() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the resourceType property: The resource type name.
resourceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the resourceUrl property: Resource the service principal has access to.
resourceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the resourceUrl property: Resource the service principal has access to.
restart() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a restart action to a compute instance.
restart(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a restart action to a compute instance.
restart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
restart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a restart action to a compute instance.
restart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
restart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a restart action to a compute instance.
RESTART - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Restart for OperationName.
RESTART_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value RestartFailed for OperationStatus.
RESTARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Restarting for ComputeInstanceState.
resyncKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Resync all the keys associated with this workspace.
resyncKeys(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Resync all the keys associated with this workspace.
resyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
resyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Resync all the keys associated with this workspace.
resyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
resyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Resync all the keys associated with this workspace.
retailPrice() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the retailPrice property: Retail price The price charged for using the VM.
retrySettings() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Get the retrySettings property: Retry Settings for the batch inference operation.
retrySettings() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the retrySettings property: Retry Settings for the batch inference operation.
Route - Class in com.azure.resourcemanager.machinelearning.models: The Route model.
Route() - Constructor for class com.azure.resourcemanager.machinelearning.models.Route
rule() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Get the rule property: The specific type of random algorithm.
runId() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the runId property: Run ID.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Running for ComputeInstanceState.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Running for JobStatus.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value running for NodeState.
runningNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the runningNodeCount property: Running node count.
runtime() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Get the runtime property: Runtime of compute instance.

S

samplingAlgorithm() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Get the samplingAlgorithm property: [Required] Type of the hyperparameter sampling algorithms.
samplingAlgorithm() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the samplingAlgorithm property: [Required] The hyperparameter sampling algorithm.
SamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm.
SamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm
SamplingAlgorithmType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SamplingAlgorithmType.
SamplingAlgorithmType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value Sas for CredentialsType.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value Sas for SecretsType.
SasDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: SAS datastore credentials configuration.
SasDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials
SasDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore SAS secrets.
SasDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets
sasToken() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Get the sasToken property: Storage container SAS token.
SATURDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Saturday for Weekday.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the scaleSettings property: Scale settings for AML Compute.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Get the scaleSettings property: Scale settings for the deployment.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Get the scaleSettings property: scale settings for AML Compute.
ScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: scale settings for AML Compute.
ScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleSettings
ScaleSettingsInformation - Class in com.azure.resourcemanager.machinelearning.models: Desired scale settings for the amlCompute.
ScaleSettingsInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation
scaleType() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the scaleType property: Gets or sets the type of the scale.
ScaleType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScaleType.
ScaleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleType
SCALING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Scaling for DeploymentProvisioningState.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the schedule property: Base definition of a schedule.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the schedule property: Schedule definition of job.
SCHEDULE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value Schedule for OperationTrigger.
ScheduleBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition of a schedule.
ScheduleBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleBase
SCHEDULED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Scheduled for JobStatus.
schedules() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the schedules property: The list of schedules to be applied on the computes.
scheduleStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the scheduleStatus property: Specifies the schedule's status.
ScheduleStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScheduleStatus.
ScheduleStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleStatus
ScheduleType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScheduleType.
ScheduleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleType
scope() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the scope property: The scope property.
scope() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the scope property: The scope property.
scoringRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the scoringRoute property: The port to send the scoring requests to, within the inference server container.
scoringScript() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Get the scoringScript property: [Required] The script to execute on startup.
scoringScript() - Method in class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration: Get the scoringScript property: The script to execute on startup.
scoringUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the scoringUri property: Endpoint URI.
scoringUri() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the scoringUri property: Endpoint URI.
scriptArguments() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptArguments property: Optional command line arguments passed to the script to run.
scriptData() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptData property: The location of scripts in the mounted volume.
ScriptReference - Class in com.azure.resourcemanager.machinelearning.models: Script reference.
ScriptReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScriptReference
scripts() - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Get the scripts property: Customized setup scripts.
scriptSource() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptSource property: The storage source of the script: inline, workspace.
ScriptsToExecute - Class in com.azure.resourcemanager.machinelearning.models: Customized setup scripts.
ScriptsToExecute() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the searchSpace property: [Required] A dictionary containing each parameter and its distribution.
SEASON - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value Season for UseStl.
SEASON_TREND - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value SeasonTrend for UseStl.
SEASONAL_AVERAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SeasonalAverage for ForecastingModels.
SEASONAL_NAIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SeasonalNaive for ForecastingModels.
seasonality() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the seasonality property: Set time series seasonality as an integer multiple of the series frequency.
Seasonality - Class in com.azure.resourcemanager.machinelearning.models: Forecasting seasonality.
Seasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.Seasonality
SeasonalityMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SeasonalityMode.
SeasonalityMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.SeasonalityMode
SECONDARY - Static variable in class com.azure.resourcemanager.machinelearning.models.KeyType: Static value Secondary for KeyType.
secondaryAccessKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Get the secondaryAccessKey property: The secondaryAccessKey property.
secondaryAccessKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the secondaryAccessKey property: The secondaryAccessKey property.
secondaryKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Get the secondaryKey property: The secondary key.
secondaryKey() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the secondaryKey property: The secondary key.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Get the secrets property: [Required] Storage account secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the secrets property: [Required] Service principal secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Get the secrets property: [Required] Keytab secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Get the secrets property: [Required] Kerberos password secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Get the secrets property: [Required] Storage container secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the secrets property: [Required] Service principal secrets.
SecretsType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SecretsType.
SecretsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SecretsType
seed() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Get the seed property: An optional integer to use as the seed for random number generation.
SERVICE_PRINCIPAL - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value ServicePrincipal for CredentialsType.
SERVICE_PRINCIPAL - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value ServicePrincipal for SecretsType.
serviceBusConnectionString() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the serviceBusConnectionString property: ServiceBus connection string.
serviceCidr() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the serviceCidr property: A CIDR notation IP range from which to assign service cluster IPs.
serviceClient() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
ServiceDataAccessAuthIdentity - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ServiceDataAccessAuthIdentity.
ServiceDataAccessAuthIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the serviceManagedResourcesSettings property: The service managed resource settings.
ServiceManagedResourcesSettings - Class in com.azure.resourcemanager.machinelearning.models: The ServiceManagedResourcesSettings model.
ServiceManagedResourcesSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings
ServicePrincipalDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Service Principal datastore credentials configuration.
ServicePrincipalDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials
ServicePrincipalDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore Service Principal secrets.
ServicePrincipalDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets
serviceProvisionedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
services() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the services property: services of this containers.
services() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the services property: List of JobEndpoints.
SETTING_UP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value SettingUp for ComputeInstanceState.
settings() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the settings property: Pipeline settings, for things like ContinueRunOnStepFailure etc.
SETUP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value SetupFailed for ComputeInstanceState.
setupScripts() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the setupScripts property: Details of customized scripts to execute for setting up the cluster.
SetupScripts - Class in com.azure.resourcemanager.machinelearning.models: Details of customized scripts to execute for setting up the cluster.
SetupScripts() - Constructor for class com.azure.resourcemanager.machinelearning.models.SetupScripts
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value SGD for ClassificationModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SGD for ForecastingModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value SGD for RegressionModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Sgd for StochasticOptimizer.
SHARED - Static variable in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Static value Shared for ApplicationSharingPolicy.
SharedPrivateLinkResource - Class in com.azure.resourcemanager.machinelearning.models: The SharedPrivateLinkResource model.
SharedPrivateLinkResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource
SharedPrivateLinkResourceProperty - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of a shared private link resource.
SharedPrivateLinkResourceProperty() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty
sharedPrivateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
shortSeriesHandlingConfig() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the shortSeriesHandlingConfig property: The parameter defining how if AutoML should handle short time series.
ShortSeriesHandlingConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ShortSeriesHandlingConfiguration.
ShortSeriesHandlingConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration
size() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the size property: The SKU size.
size() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the size property: The SKU size.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the sku property: Gets or sets the Sku.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the sku property: Gets or sets the Sku.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the sku property: The sku of the workspace.
Sku - Class in com.azure.resourcemanager.machinelearning.models: The resource model definition representing SKU.
Sku() - Constructor for class com.azure.resourcemanager.machinelearning.models.Sku
SkuCapacity - Class in com.azure.resourcemanager.machinelearning.models: SKU capacity information.
SkuCapacity() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuCapacity
SkuResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of SkuResource.
SkuResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of SkuResource entities.
SkuResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult
SkuResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Fulfills ARM Contract requirement to list all available SKUS for a resource.
SkuResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner
SkuScaleType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SkuScaleType.
SkuScaleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuScaleType
SkuSetting - Class in com.azure.resourcemanager.machinelearning.models: SkuSetting fulfills the need for stripped down SKU info in ARM contract.
SkuSetting() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuSetting
SkuTier - Enum in com.azure.resourcemanager.machinelearning.models: Defines values for SkuTier.
slackAmount() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Get the slackAmount property: Absolute distance allowed from the best performing run.
slackFactor() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Get the slackFactor property: Ratio of the allowed distance from the best performing run.
SMALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Small for ModelSize.
SOBOL - Static variable in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Static value Sobol for RandomSamplingAlgorithmRule.
source() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the source property: Source of the ComputeInstance data mount.
sourceType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the sourceType property: Data source type.
SourceType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SourceType.
SourceType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SourceType
sparkVersion() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the sparkVersion property: Spark version.
SPEARMAN_CORRELATION - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value SpearmanCorrelation for ForecastingPrimaryMetrics.
SPEARMAN_CORRELATION - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value SpearmanCorrelation for RegressionPrimaryMetrics.
splitRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
splitRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
SPOT - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value Spot for VMTier.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the sshPort property: Describes the port for connecting through SSH.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the sshPort property: Port open for ssh connections on the master node of the cluster.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the sshPort property: Port open for ssh connections.
sshPublicAccess() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the sshPublicAccess property: Access policy for SSH State of the public SSH port.
SshPublicAccess - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SshPublicAccess.
SshPublicAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.SshPublicAccess
sshSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the sshSettings property: Specifies policy and settings for SSH access.
sslConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the sslConfiguration property: SSL configuration.
SslConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The ssl configuration for scoring.
SslConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.SslConfiguration
SslConfigurationStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SslConfigurationStatus.
SslConfigurationStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus
stackEnsembleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
StackEnsembleSettings - Class in com.azure.resourcemanager.machinelearning.models: Advances setting to customize StackEnsemble run.
StackEnsembleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings
stackMetaLearnerKWargs() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerKWargs property: Optional parameters to pass to the initializer of the meta-learner.
stackMetaLearnerTrainPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerTrainPercentage property: Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner.
stackMetaLearnerType() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerType property: The meta-learner is a model trained on the output of the individual heterogeneous models.
StackMetaLearnerType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for StackMetaLearnerType.
StackMetaLearnerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType
STANDARD - com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Standard.
STANDARD - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value Standard for VMTier.
STANDARD_LRS - Static variable in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Static value Standard_LRS for StorageAccountType.
start() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a start action to a compute instance.
start(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a start action to a compute instance.
start(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
start(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a start action to a compute instance.
start(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
start(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a start action to a compute instance.
START - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Static value Start for ComputePowerAction.
START - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Start for OperationName.
START_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value StartFailed for OperationStatus.
STARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Starting for ComputeInstanceState.
STARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Starting for JobStatus.
startTime() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the startTime property: Specifies start time of schedule in ISO 8601 format.
startupScript() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Get the startupScript property: Script that's run every time the machine starts.
state() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the state property: The current state of this ComputeInstance.
status() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the status property: Indicates whether or not the encryption is enabled for the workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the status property: Status of endpoint.
status() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the status property: Enable or disable ssl for scoring.
status() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the status property: Update Workspace Quota Status.
Status - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Status.
Status() - Constructor for class com.azure.resourcemanager.machinelearning.models.Status
statusCode() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Get the statusCode property: The statusCode property.
STEADY - Static variable in class com.azure.resourcemanager.machinelearning.models.AllocationState: Static value Steady for AllocationState.
STEP - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value Step for LearningRateScheduler.
stepLRGamma() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
stepLRGamma() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
stepLRStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
stepLRStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
StochasticOptimizer - Class in com.azure.resourcemanager.machinelearning.models: Defines values for StochasticOptimizer.
StochasticOptimizer() - Constructor for class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer
stop() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a stop action to a compute instance.
stop(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a stop action to a compute instance.
stop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
stop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a stop action to a compute instance.
stop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
stop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a stop action to a compute instance.
STOP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Static value Stop for ComputePowerAction.
STOP - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Stop for OperationName.
STOP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value StopFailed for OperationStatus.
STOPPED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Stopped for ComputeInstanceState.
STOPPING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Stopping for ComputeInstanceState.
STORAGE_INITIALIZER - Static variable in class com.azure.resourcemanager.machinelearning.models.ContainerType: Static value StorageInitializer for ContainerType.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the storageAccount property: Setting for diagnosing dependent storage account.
storageAccount() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccountResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the storageAccountResults property: The storageAccountResults property.
storageAccountType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the storageAccountType property: type of this storage account.
StorageAccountType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for StorageAccountType.
StorageAccountType() - Constructor for class com.azure.resourcemanager.machinelearning.models.StorageAccountType
storageHnsEnabled() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storeName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the storeName property: [Required] Azure Data Lake store name.
subnet() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the subnet property: Virtual network subnet resource ID the compute nodes belong to.
subnet() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the subnet property: Virtual network subnet resource ID the compute nodes belong to.
subnetArmId() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Get the subnetArmId property: The ARM identifier for Subnet resource that private endpoint links to.
subnetId() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the subnetId property: Virtual network subnet resource ID the compute nodes belong to.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the subscriptionId property: Azure subscription identifier.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Succeeded for DeploymentProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Succeeded for EndpointProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value Succeeded for OperationStatus.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Succeeded for PrivateEndpointConnectionProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Succeeded for ProvisioningState.
SUCCESS - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Success for Status.
successThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the successThreshold property: The number of successful probes before returning a healthy status.
SUM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Sum for TargetAggregationFunction.
SUMMARY_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Static value SummaryOnly for BatchOutputAction.
SUNDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Sunday for Weekday.
supportedComputeTypes() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the supportedComputeTypes property: Supported Compute Types Specifies the compute types supported by the virtual machine size.
SVM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value SVM for ClassificationModels.
swaggerUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the swaggerUri property: Endpoint Swagger URI.
swaggerUri() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the swaggerUri property: Endpoint Swagger URI.
SWEEP - Static variable in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Static value Sweep for JobLimitsType.
SWEEP - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Sweep for JobType.
SweepJob - Class in com.azure.resourcemanager.machinelearning.models: Sweep job definition.
SweepJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.SweepJob
SweepJobLimits - Class in com.azure.resourcemanager.machinelearning.models: Sweep Job limit class.
SweepJobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.SweepJobLimits
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
SYNAPSE_SPARK - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value SynapseSpark for ComputeType.
SynapseSpark - Class in com.azure.resourcemanager.machinelearning.models: A SynapseSpark compute.
SynapseSpark() - Constructor for class com.azure.resourcemanager.machinelearning.models.SynapseSpark
SynapseSparkProperties - Class in com.azure.resourcemanager.machinelearning.models: The SynapseSparkProperties model.
SynapseSparkProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties
SYSTEM_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value SystemAssigned for ManagedServiceIdentityType.
SYSTEM_ASSIGNED_USER_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value SystemAssigned,UserAssigned for ManagedServiceIdentityType.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
SystemService - Class in com.azure.resourcemanager.machinelearning.models: A system service running on a compute.
SystemService() - Constructor for class com.azure.resourcemanager.machinelearning.models.SystemService
systemServices() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the systemServices property: System services.
systemServiceType() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the systemServiceType property: The type of this system service.

T

TableVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.
TableVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVertical
TableVerticalDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Class for data inputs.
TableVerticalDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings
TableVerticalFeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: Featurization Configuration.
TableVerticalFeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings
TableVerticalLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Job execution constraints.
TableVerticalLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings
TableVerticalValidationDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Validation settings for AutoML Table vertical tasks - Classification/Regression/Forecasting.
TableVerticalValidationDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Get the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Get the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Get the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Get the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the tags property: Tag dictionary.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the tags property: The resource tags for the machine learning workspace.
tail() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Get the tail property: The maximum number of lines to tail.
target() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the target property: Target of the workspace connection.
target() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Get the target property: Target of the workspace connection.
target() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the target property: Target of the workspace connection.
TARGET_UTILIZATION - Static variable in class com.azure.resourcemanager.machinelearning.models.ScaleType: Static value TargetUtilization for ScaleType.
targetAggregateFunction() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetAggregateFunction property: The function to be used to aggregate the time series target column to conform to a user specified frequency.
TargetAggregationFunction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for TargetAggregationFunction.
TargetAggregationFunction() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction
targetColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Get the targetColumnName property: [Required] Target column name: This is prediction values column.
targetLags() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetLags property: The number of past periods to lag from the target column.
TargetLags - Class in com.azure.resourcemanager.machinelearning.models: The number of past periods to lag from the target column.
TargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetLags
TargetLagsMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for TargetLagsMode.
TargetLagsMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetLagsMode
targetNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the targetNodeCount property: Target node count.
targetRollingWindowSize() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetRollingWindowSize property: The number of past periods used to create a rolling window average of the target column.
TargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: Forecasting target rolling window size.
TargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize
TargetRollingWindowSizeMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for TargetRollingWindowSizeMode.
TargetRollingWindowSizeMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode
targetUtilizationPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the targetUtilizationPercentage property: Target CPU usage for the autoscaler.
TargetUtilizationScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: The TargetUtilizationScaleSettings model.
TargetUtilizationScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings
taskDetails() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the taskDetails property: [Required] This represents scenario which can be one of Tables/NLP/Image.
TaskType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for TaskType.
TaskType() - Constructor for class com.azure.resourcemanager.machinelearning.models.TaskType
TCNFORECASTER - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value TCNForecaster for ForecastingModels.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Get the tenantId property: User’s AAD Tenant Id.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the tenantId property: [Required] ID of the tenant to which the service principal belongs.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the tenantId property: The tenant ID of the system assigned identity.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the tenantId property: [Required] ID of the tenant to which the service principal belongs.
tenantId() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the tenantId property: The tenant id associated with this workspace.
TENSOR_FLOW - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value TensorFlow for DistributionType.
TensorFlow - Class in com.azure.resourcemanager.machinelearning.models: TensorFlow distribution configuration.
TensorFlow() - Constructor for class com.azure.resourcemanager.machinelearning.models.TensorFlow
testData() - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Get the testData property: Test data input.
TestDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Test data inputs.
TestDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TestDataSettings
testDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.TestDataSettings: Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
TEXT_CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextClassification for TaskType.
TEXT_CLASSIFICATION_MULTILABEL - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextClassificationMultilabel for TaskType.
TEXT_NER - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextNER for TaskType.
TextClassification - Class in com.azure.resourcemanager.machinelearning.models: Text Classification task in AutoML NLP vertical.
TextClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextClassification
TextClassificationMultilabel - Class in com.azure.resourcemanager.machinelearning.models: Text Classification Multilabel task in AutoML NLP vertical.
TextClassificationMultilabel() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel
TextNer - Class in com.azure.resourcemanager.machinelearning.models: Text-NER task in AutoML NLP vertical.
TextNer() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextNer
thumbprint() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the thumbprint property: [Required] Thumbprint of the certificate used for authentication.
THURSDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Thursday for Weekday.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the tier property: 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.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the tier property: 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.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Get the tier property: 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.
tileGridSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tileGridSize property: The grid size to use for tiling each image.
tileGridSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tileGridSize property: The grid size to use for tiling each image.
tileOverlapRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
tileOverlapRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
tilePredictionsNmsThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
tilePredictionsNmsThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
timeColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the timeColumnName property: The name of the time column.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Get the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the timeout property: AutoML job timeout.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Get the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the timeout property: AutoML job timeout.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings: Get the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the timeout property: The probe timeout in ISO 8601 format.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the timeout property: Optional time period passed to timeout command.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the timeout property: AutoML job timeout.
TIMEOUT - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Timeout for PrivateEndpointServiceConnectionStatus.
timeSeriesIdColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the timeSeriesIdColumnNames property: The names of columns used to group a timeseries.
timeZone() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the timeZone property: Specifies time zone in which the schedule runs.
tokenType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the tokenType property: Access token type.
tokenType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the tokenType property: The tokenType property.
tokenType() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the tokenType property: Access token type.
tokenType() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the tokenType property: The tokenType property.
toString() - Method in enum com.azure.resourcemanager.machinelearning.models.SkuTier
traffic() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Get the traffic property: Percentage of traffic from endpoint to divert to each deployment.
traffic() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Get the traffic property: Percentage of traffic from endpoint to divert to each deployment.
trainingBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the trainingBatchSize property: Training batch size.
trainingBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the trainingBatchSize property: Training batch size.
trainingCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
trainingCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
trainingData() - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Get the trainingData property: [Required] Training data input.
TrainingDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Training data input.
TrainingDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TrainingDataSettings
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
TrainingSettings - Class in com.azure.resourcemanager.machinelearning.models: Training related configuration.
TrainingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TrainingSettings
transformerParams() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the transformerParams property: User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.
trial() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the trial property: [Required] Trial component definition.
TrialComponent - Class in com.azure.resourcemanager.machinelearning.models: Trial component definition.
TrialComponent() - Constructor for class com.azure.resourcemanager.machinelearning.models.TrialComponent
trialTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the trialTimeout property: Sweep Job Trial timeout value.
trialTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the trialTimeout property: Iteration timeout.
TRITON_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value TritonModel for JobInputType.
TRITON_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value TritonModel for JobOutputType.
TRITON_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelType: Static value TritonModel for ModelType.
TritonModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The TritonModelJobInput model.
TritonModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput
TritonModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The TritonModelJobOutput model.
TritonModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput
TRUNCATION_SELECTION - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value TruncationSelection for EarlyTerminationPolicyType.
truncationPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Get the truncationPercentage property: The percentage of runs to cancel at each evaluation interval.
TruncationSelectionPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
TruncationSelectionPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy
TUESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Tuesday for Weekday.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the type property: Specifies the resource type.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the type property: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Get the type property: Managed service identity (system assigned and/or user assigned identities).
type() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the type property: Specifies the resource type.
type() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the type property: The type of the resource.

U

udr() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the udr property: Setting for diagnosing user defined routing.
UNDEFINED - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Undefined for Status.
UnderlyingResourceAction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for UnderlyingResourceAction.
UnderlyingResourceAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction
unit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the unit property: An enum describing the unit of usage measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the unit property: An enum describing the unit of quota measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the unit property: An enum describing the unit of usage measurement.
unitOfMeasure() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the unitOfMeasure property: Unit of time measure The unit of time measurement for the specified VM price.
UnitOfMeasure - Class in com.azure.resourcemanager.machinelearning.models: Defines values for UnitOfMeasure.
UnitOfMeasure() - Constructor for class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Unknown for ComputeInstanceState.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Unknown for JobStatus.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Unknown for ProvisioningState.
UNMOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.MountAction: Static value Unmount for MountAction.
UNMOUNT_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value UnmountFailed for MountState.
UNMOUNT_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value UnmountRequested for MountState.
UNMOUNTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value Unmounted for MountState.
UNUSABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Unusable for ComputeInstanceState.
UNUSABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value unusable for NodeState.
unusableNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the unusableNodeCount property: Unusable node count.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData: Begins update for the BatchDeploymentData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData: Begins update for the BatchEndpointData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData: Begins update for the CodeContainerData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData: Begins update for the CodeVersionData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData: Begins update for the ComponentContainerData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData: Begins update for the ComponentVersionData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Begins update for the ComputeResource resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData: Begins update for the DataContainerData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData: Begins update for the DatastoreData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData: Begins update for the DataVersionBaseData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData: Begins update for the EnvironmentContainerData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData: Begins update for the EnvironmentVersionData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData: Begins update for the JobBaseData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData: Begins update for the ModelContainerData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData: Begins update for the ModelVersionData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData: Begins update for the OnlineDeploymentData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData: Begins update for the OnlineEndpointData resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Begins update for the PrivateEndpointConnection resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Begins update for the Workspace resource.
update(String, QuotaUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Update quota for each VM family in workspace.
update(String, QuotaUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Update quota for each VM family in workspace.
update(String, String, WorkspaceUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
update(String, String, WorkspaceUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
update(String, String, String, ClusterUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
update(String, String, String, ClusterUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
update(String, String, String, PartialBatchEndpointPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
update(String, String, String, PartialBatchEndpointPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
update(String, String, String, PartialOnlineEndpointPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
update(String, String, String, PartialOnlineEndpointPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
update(String, String, String, String, PartialBatchDeploymentPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
update(String, String, String, String, PartialBatchDeploymentPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
update(String, String, String, String, PartialOnlineDeploymentPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
update(String, String, String, String, PartialOnlineDeploymentPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
UPDATED_AT_ASC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value UpdatedAtAsc for OrderString.
UPDATED_AT_DESC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value UpdatedAtDesc for OrderString.
updateWithResponse(String, QuotaUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Update quota for each VM family in workspace.
updateWithResponse(String, QuotaUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Update quota for each VM family in workspace.
UpdateWorkspaceQuotas - Class in com.azure.resourcemanager.machinelearning.models: The properties for update Quota response.
UpdateWorkspaceQuotas() - Constructor for class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas
UpdateWorkspaceQuotasResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of UpdateWorkspaceQuotasResult.
UpdateWorkspaceQuotasResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The result of update workspace quota.
UpdateWorkspaceQuotasResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Updating for DeploymentProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Updating for EndpointProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Updating for ProvisioningState.
UPLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Static value Upload for OutputDeliveryMode.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Get the uri property: Output Asset URI.
URI - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value URI for SourceType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value UriFile for DataType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value UriFile for JobInputType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value UriFile for JobOutputType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value UriFolder for DataType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value UriFolder for JobInputType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value UriFolder for JobOutputType.
UriFileDataVersion - Class in com.azure.resourcemanager.machinelearning.models: uri-file data version entity.
UriFileDataVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion
UriFileJobInput - Class in com.azure.resourcemanager.machinelearning.models: The UriFileJobInput model.
UriFileJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileJobInput
UriFileJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The UriFileJobOutput model.
UriFileJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput
UriFolderDataVersion - Class in com.azure.resourcemanager.machinelearning.models: uri-folder data version entity.
UriFolderDataVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion
UriFolderJobInput - Class in com.azure.resourcemanager.machinelearning.models: The UriFolderJobInput model.
UriFolderJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput
UriFolderJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The UriFolderJobOutput model.
UriFolderJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput
Usage - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Usage.
UsageInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Describes AML Resource Usage.
UsageInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner
UsageName - Class in com.azure.resourcemanager.machinelearning.models: The Usage Names.
UsageName() - Constructor for class com.azure.resourcemanager.machinelearning.models.UsageName
usages() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Usages.
Usages - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Usages.
UsagesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in UsagesClient.
UsageUnit - Class in com.azure.resourcemanager.machinelearning.models: Defines values for UsageUnit.
UsageUnit() - Constructor for class com.azure.resourcemanager.machinelearning.models.UsageUnit
USD - Static variable in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Static value USD for BillingCurrency.
USER - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value User for OperationTrigger.
USER_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value UserAssigned for ManagedServiceIdentityType.
USER_CREATED - Static variable in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Static value UserCreated for EnvironmentType.
USER_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value UserIdentity for IdentityConfigurationType.
USER_SETTING_UP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value UserSettingUp for ComputeInstanceState.
USER_SETUP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value UserSetupFailed for ComputeInstanceState.
userAccountCredentials() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the userAccountCredentials property: Credentials for an administrator user account that will be created on each compute node.
UserAccountCredentials - Class in com.azure.resourcemanager.machinelearning.models: Settings for user account that gets created on each on the nodes of a compute.
UserAccountCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials
userAssignedIdentities() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the userAssignedIdentities property: The set of user assigned identities associated with the resource.
userAssignedIdentities() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Get the userAssignedIdentities property: The set of user assigned identities associated with the resource.
userAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Get the userAssignedIdentity property: The ArmId of the user assigned identity that will be used to access the customer managed key vault.
UserAssignedIdentity - Class in com.azure.resourcemanager.machinelearning.models: User assigned identity properties.
UserAssignedIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity
userDefinedRouteResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the userDefinedRouteResults property: The userDefinedRouteResults property.
userId() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the userId property: Uniquely identifies the user within his/her organization.
UserIdentity - Class in com.azure.resourcemanager.machinelearning.models: User identity configuration.
UserIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserIdentity
userKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
userKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
username() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the username property: Name of the user.
username() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the username property: The username property.
username() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the username property: Username of admin account.
userOrgId() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the userOrgId property: Uniquely identifies user' Azure Active Directory organization.
userStorageKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Get the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListStorageAccountKeysResult: Gets the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the userStorageKey property: The userStorageKey property.
userStorageResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the userStorageResourceId property: The userStorageResourceId property.
userStorageResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the userStorageResourceId property: The userStorageResourceId property.
useStl() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the useStl property: Configure STL Decomposition of the time-series target column.
UseStl - Class in com.azure.resourcemanager.machinelearning.models: Defines values for UseStl.
UseStl() - Constructor for class com.azure.resourcemanager.machinelearning.models.UseStl

V

validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlToken: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoSeasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalValidationDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalValidationDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialAssetReferenceBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialIdAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialKubernetesOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Seasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TestDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Validates the instance.
validationBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the validationBatchSize property: Validation batch size.
validationBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the validationBatchSize property: Validation batch size.
validationCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
validationCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Get the validationData property: Settings for the validation dataset.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Get the validationData property: Validation data inputs.
ValidationDataSettings - Class in com.azure.resourcemanager.machinelearning.models: Validation settings.
ValidationDataSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the validationIouThreshold property: IOU threshold to use when computing validation metric.
validationIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the validationIouThreshold property: IOU threshold to use when computing validation metric.
validationMetricType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the validationMetricType property: Metric computation method to use for validation metrics.
validationMetricType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the validationMetricType property: Metric computation method to use for validation metrics.
ValidationMetricType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ValidationMetricType.
ValidationMetricType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ValidationMetricType
validationResizeSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
validationResizeSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Get the value property: Array of private link resources.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Get the value property: The list of workspace quota update result.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Get the value property: The list of virtual machine sizes supported by AmlCompute.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the value property: Value details of the workspace connection.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Get the value property: Value details of the workspace connection.
value() - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationListResult: Get the value property: List of AML workspace operations supported by the AML workspace resource provider.
value() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type BatchDeployment.
value() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type BatchEndpoint.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Get the value property: An array of objects of type CodeContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Get the value property: An array of objects of type CodeVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Get the value property: An array of objects of type ComponentContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Get the value property: An array of objects of type ComponentVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Get the value property: [Required] Forecast horizon value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Get the value property: [Required] N-Cross validations value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Get the value property: [Required] Seasonality value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Get the value property: [Required] TargetRollingWindowSize value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Get the value property: An array of objects of type DataContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Get the value property: An array of objects of type Datastore.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Get the value property: An array of objects of type DataVersionBase.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResult: Gets the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Get the value property: Value of Parameters.
value() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Get the value property: An array of objects of type EnvironmentContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Get the value property: An array of objects of type EnvironmentVersion.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.ExternalFqdnResponse: Gets the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Get the value property: An array of objects of type JobBase.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Get the value property: The list of AML user facing features.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Get the value property: The list of AML resource usages.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Get the value property: The list of Workspace Quotas by VM Family.
value() - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Get the value property: [Required] Literal value for the input.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Get the value property: An array of objects of type ModelContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Get the value property: An array of objects of type ModelVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type OnlineDeployment.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type OnlineEndpoint.
value() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Get the value property: An array of Machine Learning compute objects wrapped in ARM resource envelope.
value() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList: Get the value property: An array of Workspace connection objects.
value() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Get the value property: Array of private endpoint connections.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResourceListResult: Gets the value property: Array of private link resources.
value() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Get the value property: The list for update quota.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Get the value property: The name of the resource.
value() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Get the value property: An array of objects of type SkuResource.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the value property: The list of workspace quota update result.
value() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Get the value property: The name of the resource.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizeListResult: Gets the value property: The list of virtual machine sizes supported by AmlCompute.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the value property: Value details of the workspace connection.
value() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Get the value property: The list of machine learning workspaces.
valueFormat() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Get the valueFormat property: format for the workspace connection value.
valueFormat() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Get the valueFormat property: format for the workspace connection value.
valueFormat() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection: Gets the valueFormat property: format for the workspace connection value.
ValueFormat - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ValueFormat.
ValueFormat() - Constructor for class com.azure.resourcemanager.machinelearning.models.ValueFormat
valueOf(String) - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Returns the enum constant of this type with the specified name.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.AllocationState: Gets known AllocationState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Gets known ApplicationSharingPolicy values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Autosave: Gets known Autosave values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Gets known BatchLoggingLevel values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Gets known BatchOutputAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Gets known BillingCurrency values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Caching: Gets known Caching values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Gets known ClassificationModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Gets known ClassificationMultilabelPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Gets known ClassificationPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Gets known ClusterPurpose values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Gets known ComputeInstanceAuthorizationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Gets known ComputeInstanceState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Gets known ComputePowerAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeType: Gets known ComputeType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerType: Gets known ContainerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Gets known CredentialsType values.
values() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Get the values property: [Required] Set target lags values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Gets known DatastoreType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DataType: Gets known DataType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Gets known DeploymentProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Gets known DiagnoseResultLevel values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DistributionType: Gets known DistributionType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Gets known EarlyTerminationPolicyType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Gets known EgressPublicNetworkAccessType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Gets known EncryptionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Gets known EndpointAuthMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Gets known EndpointComputeType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Gets known EndpointProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Gets known EnvironmentType values.
values() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the values property: List of estimated VM prices.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Gets known FeatureLags values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Gets known FeaturizationMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Gets known ForecastHorizonMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Gets known ForecastingModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Gets known ForecastingPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Goal: Gets known Goal values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Gets known IdentityConfigurationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Gets known InputDeliveryMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Gets known InstanceSegmentationPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobInputType: Gets known JobInputType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Gets known JobLimitsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Gets known JobOutputType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobStatus: Gets known JobStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobType: Gets known JobType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.KeyType: Gets known KeyType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Gets known LearningRateScheduler values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ListViewType: Gets known ListViewType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Gets known LoadBalancerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Gets known LogVerbosity values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Gets known ManagedServiceIdentityType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ModelSize: Gets known ModelSize values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ModelType: Gets known ModelType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MountAction: Gets known MountAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MountState: Gets known MountState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Gets known NCrossValidationsMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Network: Gets known Network values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NodeState: Gets known NodeState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Gets known ObjectDetectionPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Gets known OperatingSystemType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationName: Gets known OperationName values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Gets known OperationStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Gets known OperationTrigger values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OrderString: Gets known OrderString values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OsType: Gets known OsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Gets known OutputDeliveryMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Gets known PrivateEndpointConnectionProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Gets known PrivateEndpointServiceConnectionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Gets known ProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Gets known ProvisioningStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Gets known PublicNetworkAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Gets known PublicNetworkAccessType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Gets known QuotaUnit values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Gets known RandomSamplingAlgorithmRule values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Gets known RecurrenceFrequency values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Gets known ReferenceType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Gets known RegressionModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Gets known RegressionPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Gets known RemoteLoginPortPublicAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Gets known SamplingAlgorithmType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleType: Gets known ScaleType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Gets known ScheduleStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleType: Gets known ScheduleType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Gets known SeasonalityMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SecretsType: Gets known SecretsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Gets known ServiceDataAccessAuthIdentity values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Gets known ShortSeriesHandlingConfiguration values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Gets known SkuScaleType values.
values() - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SourceType: Gets known SourceType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Gets known SshPublicAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SslConfigurationStatus: Gets known SslConfigurationStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Gets known StackMetaLearnerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Status: Gets known Status values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Gets known StochasticOptimizer values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Gets known StorageAccountType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Gets known TargetAggregationFunction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Gets known TargetLagsMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Gets known TargetRollingWindowSizeMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TaskType: Gets known TaskType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Gets known UnderlyingResourceAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Gets known UnitOfMeasure values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Gets known UsageUnit values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UseStl: Gets known UseStl values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Gets known ValidationMetricType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Gets known ValueFormat values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Gets known VMPriceOSType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VmPriority: Gets known VmPriority values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VMTier: Gets known VMTier values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Weekday: Gets known Weekday values.
vcName() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the vcName property: VC name.
vCPUs() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the vCPUs property: Number of vPUs The number of vCPUs supported by the virtual machine size.
version() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Get the version property: version of environment.
version() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the version property: The version for this type.
versions() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the versions property: ComputeInstance version.
VIRTUAL_MACHINE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value VirtualMachine for ComputeType.
VirtualMachine - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on Azure Virtual Machines.
VirtualMachine() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachine
virtualMachineImage() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the virtualMachineImage property: Virtual Machine image for AML Compute - windows only.
VirtualMachineImage - Class in com.azure.resourcemanager.machinelearning.models: Virtual Machine image for Windows AML Compute.
VirtualMachineImage() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage
VirtualMachineSchema - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSchema model.
VirtualMachineSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema
VirtualMachineSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSchemaProperties model.
VirtualMachineSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties
VirtualMachineSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on AKS.
VirtualMachineSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets
VirtualMachineSecretsSchema - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSecretsSchema model.
VirtualMachineSecretsSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema
virtualMachineSize() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the virtualMachineSize property: Virtual Machine size.
VirtualMachineSize - Class in com.azure.resourcemanager.machinelearning.models: Describes the properties of a VM size.
VirtualMachineSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize
VirtualMachineSizeListResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of VirtualMachineSizeListResult.
VirtualMachineSizeListResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The List Virtual Machine size operation response.
VirtualMachineSizeListResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner
virtualMachineSizes() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of VirtualMachineSizes.
VirtualMachineSizes - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of VirtualMachineSizes.
VirtualMachineSizesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in VirtualMachineSizesClient.
VirtualMachineSshCredentials - Class in com.azure.resourcemanager.machinelearning.models: Admin credentials for virtual machine.
VirtualMachineSshCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials
VMPriceOSType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for VMPriceOSType.
VMPriceOSType() - Constructor for class com.azure.resourcemanager.machinelearning.models.VMPriceOSType
vmPriority() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the vmPriority property: Virtual Machine priority.
VmPriority - Class in com.azure.resourcemanager.machinelearning.models: Defines values for VmPriority.
VmPriority() - Constructor for class com.azure.resourcemanager.machinelearning.models.VmPriority
vmSize() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the vmSize property: Virtual Machine Size.
vmSize() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the vmSize property: Virtual Machine Size.
vmTier() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the vmTier property: VM tier The type of the VM.
VMTier - Class in com.azure.resourcemanager.machinelearning.models: Defines values for VMTier.
VMTier() - Constructor for class com.azure.resourcemanager.machinelearning.models.VMTier
VOC - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value Voc for ValidationMetricType.

W

WARMUP_COSINE - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value WarmupCosine for LearningRateScheduler.
warmupCosineLRCycles() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRCycles() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRWarmupEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRWarmupEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Warning for BatchLoggingLevel.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Warning for DiagnoseResultLevel.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Warning for LogVerbosity.
WEDNESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.Weekday: Static value Wednesday for Weekday.
WEEK - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Week for RecurrenceFrequency.
Weekday - Class in com.azure.resourcemanager.machinelearning.models: Defines values for Weekday.
Weekday() - Constructor for class com.azure.resourcemanager.machinelearning.models.Weekday
weekdays() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Get the weekdays property: List of weekdays for recurrence schedule pattern.
weightColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Get the weightColumnName property: The name of the sample weight column.
weightDecay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
weightDecay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
weightedLoss() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the weightedLoss property: Weighted loss.
weightedLoss() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the weightedLoss property: Weighted loss.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Static value Windows for OperatingSystemType.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.OsType: Static value Windows for OsType.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Static value Windows for VMPriceOSType.
withAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the accessToken property: Access token for endpoint authentication.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the accountName property: Storage account name.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the accountName property: [Required] Storage account name.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the accountName property: [Required] Storage account name.
withAction(ComputePowerAction) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the action property: The compute power action.
withActionsRequired(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the actionsRequired property: A message indicating if changes on the service provider require any updates on the consumer.
withAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the address property: Public IP address of the master node of the cluster.
withAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the address property: Public IP address of the virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the administratorAccount property: Admin credentials for master node of the cluster.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the administratorAccount property: Admin credentials for virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Set the administratorAccount property: Admin credentials for virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Set the administratorAccount property: Admin credentials for virtual machine.
withAdminKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withAdminKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withAdminPublicKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Set the adminPublicKey property: Specifies the SSH rsa public key file as a string.
withAdminUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUsername property: User name.
withAdminUserPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUserPassword property: Password.
withAdminUserSshPublicKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUserSshPublicKey property: SSH public key.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the advancedSettings property: Settings for advanced scenarios.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the advancedSettings property: Settings for advanced scenarios.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the advancedSettings property: Settings for advanced scenarios.
withAgentCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the agentCount property: Number of agents.
withAgentVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the agentVmSize property: Agent virtual machine size.
withAksNetworkingConfiguration(AksNetworkingConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the aksNetworkingConfiguration property: AKS networking configuration for vnet.
withAllowedModels(List<ClassificationModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the allowedModels property: Allowed models for classification task.
withAllowedModels(List<ForecastingModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the allowedModels property: Allowed models for forecasting task.
withAllowedModels(List<RegressionModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the allowedModels property: Allowed models for regression task.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithAllowPublicAccessWhenBehindVnet: Specifies the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet..
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithApplicationInsights: Specifies the applicationInsights property: ARM id of the application insights associated with this workspace..
withApplicationInsights(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithApplicationInsights: Specifies the applicationInsights property: ARM id of the application insights associated with this workspace..
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the applicationInsights property: Setting for diagnosing dependent application insights.
withApplicationInsightsResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the applicationInsightsResults property: The applicationInsightsResults property.
withApplicationSharingPolicy(ApplicationSharingPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the applicationSharingPolicy property: Sharing policy for applications on this compute instance Policy for sharing applications on this compute instance among users of parent workspace.
withAssetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Set the assetId property: [Required] ARM resource ID of the asset.
withAssetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialIdAssetReference: Set the assetId property: ARM resource ID of the asset.
withAssignedUser(AssignedUser) - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Set the assignedUser property: A user explicitly assigned to a personal compute instance.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the augmentations property: Settings for using Augmentations.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthorityUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the authorityUrl property: Authority URL used for authentication.
withAuthorityUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the authorityUrl property: Authority URL used for authentication.
withAuthType(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Set the authType property: Authorization type of the workspace connection.
withAuthType(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Set the authType property: Authorization type of the workspace connection.
withAuthType(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithAuthType: Specifies the authType property: Authorization type of the workspace connection..
withAutoPauseProperties(AutoPauseProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the autoPauseProperties property: Auto pause properties.
withAutosave(Autosave) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the autosave property: Auto save settings.
withAutoScaleProperties(AutoScaleProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the autoScaleProperties property: Auto scale properties.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBillingCurrency(BillingCurrency) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the billingCurrency property: Billing currency Three lettered code specifying the currency of the VM price.
withBlockedModels(List<ClassificationModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the blockedModels property: Blocked models for classification task.
withBlockedModels(List<ForecastingModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the blockedModels property: Blocked models for forecasting task.
withBlockedModels(List<RegressionModels>) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the blockedModels property: Blocked models for regression task.
withBlockedTransformers(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the blockedTransformers property: These transformers shall not be used in featurization.
withBoxDetectionsPerImage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
withBoxDetectionsPerImage(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
withBoxScoreThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
withBoxScoreThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
withBuild(BuildContext) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the build property: Configuration settings for Docker build context.
withCaching(Caching) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the caching property: Caching type of Data Disk.
withCapacity(SkuCapacity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Set the capacity property: Gets or sets the Sku Capacity.
withCapacity(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
withCapacity(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
withCategory(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Set the category property: Category of the workspace connection.
withCategory(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Set the category property: Category of the workspace connection.
withCategory(String) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Set the category property: The category property.
withCategory(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithCategory: Specifies the category property: Category of the workspace connection..
withCert(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the cert property: Cert data.
withCertificate(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Set the certificate property: Service principal certificate.
withCheckpointDatasetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointDatasetId property: FileDataset id for pretrained checkpoint(s) for incremental training.
withCheckpointDatasetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointDatasetId property: FileDataset id for pretrained checkpoint(s) for incremental training.
withCheckpointDatasetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointDatasetId property: FileDataset id for pretrained checkpoint(s) for incremental training.
withCheckpointFilename(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointFilename property: The pretrained checkpoint filename in FileDataset for incremental training.
withCheckpointFilename(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointFilename property: The pretrained checkpoint filename in FileDataset for incremental training.
withCheckpointFilename(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointFilename property: The pretrained checkpoint filename in FileDataset for incremental training.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the clientId property: [Required] Service principal client ID.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the clientId property: Specifies a user-assigned identity by client ID.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the clientId property: [Required] Service principal client ID.
withClientSecret(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Set the clientSecret property: Service principal secret.
withClusterFqdn(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the clusterFqdn property: Cluster full qualified domain name.
withClusterPurpose(ClusterPurpose) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the clusterPurpose property: Intended usage of the cluster.
withCname(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the cname property: CNAME of the cert.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(PartialCodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Set the codeId property: ARM resource ID of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the codeId property: ARM resource ID of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration: Set the codeId property: ARM resource ID of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the codeId property: ARM resource ID of the code asset.
withCodeUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the codeUri property: Uri where code is located.
withCollectionsThroughput(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Set the collectionsThroughput property: The throughput of the collections in cosmosdb database.
withColumnNameAndTypes(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the columnNameAndTypes property: Dictionary of column name and its type (int, float, string, datetime etc).
withCommand(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the command property: [Required] The command to execute on startup of the job.
withCommand(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the command property: [Required] The command to execute on startup of the job.
withComponentSpec(Object) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the componentSpec property: Defines Component definition details.
withCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the compute property: Compute target for batch inference operation.
withCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the compute property: ARM resource ID of the compute if it exists.
withCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the compute property: Compute binding definition.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeInstanceAuthorizationType(ComputeInstanceAuthorizationType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the computeInstanceAuthorizationType property: Compute Instance Authorization type.
withComputeStartStop(List<ComputeStartStopSchedule>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Set the computeStartStop property: The list of compute start stop schedules to be applied.
withCondaFile(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the condaFile property: Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
withContainerName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the containerName property: Storage account container name.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithContainerRegistry: Specifies the containerRegistry property: ARM id of the container registry associated with this workspace..
withContainerRegistry(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithContainerRegistry: Specifies the containerRegistry property: ARM id of the container registry associated with this workspace..
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the containerRegistry property: Setting for diagnosing dependent container registry.
withContainerRegistryResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the containerRegistryResults property: The containerRegistryResults property.
withContainerResourceLimits(ContainerResourceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Set the containerResourceLimits property: Container resource limit info:.
withContainerResourceRequests(ContainerResourceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Set the containerResourceRequests property: Container resource request info:.
withContainerResourceRequirements(ContainerResourceRequirements) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the containerResourceRequirements property: The resource requirements for the container (cpu and memory).
withContainerType(ContainerType) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Set the containerType property: The type of container to retrieve logs from.
withContent(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Set the content property: The retrieved online deployment logs.
withContextUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Set the contextUri property: [Required] URI of the Docker build context used to build the image.
withCosmosDb(CosmosDbSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Set the cosmosDb property: The settings for the service managed cosmosdb account.
withCountryOrRegionForHolidays(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the countryOrRegionForHolidays property: Country or region for holidays for forecasting tasks.
withCpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the cpu property: Number of vCPUs request/limit for container.
withCreatedBy(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the createdBy property: who this data mount created by.
withCreationScript(ScriptReference) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Set the creationScript property: Script that's run only once during provision of the compute.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the credentials property: [Required] Account credentials.
withCvSplitColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Set the cvSplitColumnNames property: Columns to use for CVSplit data.
withCvStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the cvStepSize property: Number of periods between the origin time of one CV fold and the next fold.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalValidationDataSettings: Set the data property: Validation data MLTable.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalValidationDataSettings: Set the data property: Validation data MLTable.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Set the data property: Validation data MLTable.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TestDataSettings: Set the data property: Test data MLTable.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingDataSettings: Set the data property: [Required] Training data MLTable.
withData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings: Set the data property: Validation data MLTable.
withData(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Set the data property: Model flavor-specific data.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Set the databricksAccessToken property: access token for databricks account.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Set the databricksAccessToken property: access token for databricks account.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Set the databricksAccessToken property: Databricks access token.
withDataLakeStoreAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Set the dataLakeStoreAccountName property: DataLake Store Account Name.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(ImageVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the dataSettings property: [Required] Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.
withDataSettings(NlpVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(NlpVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(NlpVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(NlpVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(TableVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(TableVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(TableVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the dataSettings property: Data inputs for AutoMLJob.
withDataSettings(TableVerticalDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the dataSettings property: Data inputs for AutoMLJob.
withDatastoreId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Set the datastoreId property: ARM resource ID of the datastore where the asset is located.
withDatastoreId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference: Set the datastoreId property: ARM resource ID of the datastore where the asset is located.
withDataType(DataType) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Set the dataType property: [Required] Specifies the type of data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the dataUri property: [Required] Uri of the data.
withDefaultInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the defaultInstanceType property: Default instance type.
withDefaultPollInterval(Duration) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the default poll interval, used when service does not provide "Retry-After" header.
withDefaultProperty(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the defaultProperty property: Gets or sets the default capacity.
withDefaults(BatchEndpointDefaults) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Set the defaults property: Default values for Batch Endpoint.
withDefaults(BatchEndpointDefaults) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpoint: Set the defaults property: Default values for Batch Endpoint.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayInMinutes(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Set the delayInMinutes property: The delayInMinutes property.
withDeploymentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Set the deploymentName property: Name of the deployment that will be default for the endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the description property: Describes the feature for user experience.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Set the description property: The description for the operation.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the description property: The reason for approval/rejection of the connection.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithDescription: Specifies the description property: The description of this workspace..
withDescription(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithDescription: Specifies the description property: The description of this workspace..
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the description property: The description of this workspace.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiscoveryUrl(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithDiscoveryUrl: Specifies the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiskSizeGB(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the diskSizeGB property: The initial disk size in gigabytes.
withDisplay(AmlOperationDisplay) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Set the display property: Display name of operation.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the displayName property: Specifies the feature name.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Set the displayName property: Name of the ComputeInstance application.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the displayName property: Display name of job.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the distributed property: Whether to use distributed training.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the distributed property: Whether to use distributed training.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the distributed property: Whether to use distributed training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the distributed property: Whether to use distributer training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the distributed property: Whether to use distributer training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the distributed property: Whether to use distributer training.
withDistribution(DistributionConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the distribution property: Distribution configuration of the job.
withDistribution(DistributionConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the distribution property: Distribution configuration of the job.
withDnsResolution(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the dnsResolution property: Setting for diagnosing dns resolution.
withDnsResolutionResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the dnsResolutionResults property: The dnsResolutionResults property.
withDnsServiceIp(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the dnsServiceIp property: An IP address assigned to the Kubernetes DNS service.
withDockerBridgeCidr(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the dockerBridgeCidr property: A CIDR notation IP range assigned to the Docker bridge network.
withDockerfilePath(String) - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Set the dockerfilePath property: Path to the Dockerfile in the build context.
withDomainName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Set the domainName property: The domainName property.
withDropColumns(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the dropColumns property: Columns to be dropped from data during featurization.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyTermination(EarlyTerminationPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Set the earlyTermination property: Type of early termination policy.
withEarlyTermination(EarlyTerminationPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the earlyTermination property: Early termination policies enable canceling poor-performing runs before they complete.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Set the enabled property: The enabled property.
withEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the enabled property: The enabled property.
withEnableDnnFeaturization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the enableDnnFeaturization property: Determines whether to use Dnn based featurizers for data featurization.
withEnableDnnTraining(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableDnnTraining property: Enable recommendation of DNN models.
withEnableEarlyTermination(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the enableEarlyTermination property: Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
withEnableModelExplainability(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableModelExplainability property: Flag to turn on explainability on best model.
withEnableNodePublicIp(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the enableNodePublicIp property: Enable node public IP.
withEnableNodePublicIp(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the enableNodePublicIp property: Enable node public IP.
withEnableOnnxCompatibleModels(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableStackEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableStackEnsemble property: Enable stack ensemble run.
withEnableVoteEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableVoteEnsemble property: Enable voting ensemble run.
withEncryption(EncryptionProperty) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the encryption property: The encryption settings of Azure ML workspace.
withEncryption(EncryptionProperty) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the encryption property: The encryption settings of Azure ML workspace.
withEncryption(EncryptionProperty) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithEncryption: Specifies the encryption property: The encryption settings of Azure ML workspace..
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the endpoint property: Url for endpoint.
withEndpointDetails(List<FqdnEndpointDetail>) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Set the endpointDetails property: The endpointDetails property.
withEndpoints(List<FqdnEndpoint>) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Set the endpoints property: The endpoints property.
withEndpointUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Set the endpointUri property: Application' endpoint URI.
withEndTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Set the endTime property: Specifies end time of schedule in ISO 8601 format.
withEndTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the endTime property: Specifies end time of schedule in ISO 8601 format.
withEndTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the endTime property: Specifies end time of schedule in ISO 8601 format.
withEnsembleModelDownloadTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
withEnvironment(ComputeInstanceEnvironmentInfo) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the environment property: Environment information of this container.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the environmentId property: The ARM resource ID of the Environment specification for the job.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the environmentId property: ARM resource ID of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the environmentVariables property: Environment variables included in the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the environmentVariables property: Environment variables included in the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the environmentVariables property: Environment variables included in the job.
withError(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the error property: Error of this data mount.
withErrorMessage(String) - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Set the errorMessage property: The errorMessage property.
withErrorThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
withErrorThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
withEstimatedVMPrices(EstimatedVMPrices) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Set the estimatedVMPrices property: The estimated price information for using a VM.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withExistingBatchEndpoint(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, endpointName.
withExistingCode(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingComponent(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingData(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingEnvironment(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingModel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingOnlineEndpoint(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, endpointName.
withExistingResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithResourceGroup: Specifies resourceGroupName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExitScore(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the exitScore property: Exit score for the AutoML job.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the experimentName property: The name of the experiment the job belongs to.
withExpiryTimeUtc(Long) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the expiryTimeUtc property: Access token expiry time (UTC).
withExpression(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Set the expression property: [Required] Specifies cron expression of schedule.
withExtensionInstanceReleaseTrain(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the extensionInstanceReleaseTrain property: Extension instance release train.
withExtensionPrincipalId(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the extensionPrincipalId property: Extension principal-id.
withFailureThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the failureThreshold property: The number of failures to allow before returning an unhealthy status.
withFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
withFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
withFeatureLags(FeatureLags) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the featureLags property: Flag for generating lags for the numeric features with 'auto' or null.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFields(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Set the fields property: Fields to apply transformer logic on.
withFileShareName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the fileShareName property: [Required] The name of the Azure file share that the datastore points to.
withFilesystem(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the filesystem property: [Required] The name of the Data Lake Gen2 filesystem.
withFlavors(Map<String, FlavorData>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the flavors property: Mapping of model flavors to their properties.
withForecastHorizon(ForecastHorizon) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the forecastHorizon property: The desired maximum forecast horizon in units of time-series frequency.
withForecastingSettings(ForecastingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the forecastingSettings property: Forecasting task specific inputs.
withFqdn(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the fqdn property: The fqdn property.
withFrequency(RecurrenceFrequency) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the frequency property: [Required] Specifies frequency with with which to trigger schedule.
withFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the frequency property: When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithFriendlyName: Specifies the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithFriendlyName: Specifies the friendlyName property: The friendly name for this workspace..
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the friendlyName property: The friendly name for this workspace.
withGoal(Goal) - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Set the goal property: [Required] Defines supported metric goals for hyperparameter tuning.
withGpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the gpu property: Information of GPU.
withGpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the gpu property: Number of Nvidia GPU cards request/limit for container.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep"\ steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGroupId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the groupId property: The private link resource group id.
withGroupId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the groupId property: The private link resource group id.
withHbiWorkspace(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHbiWorkspace(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHbiWorkspace(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithHbiWorkspace: Specifies the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHdfsServerCertificate(String) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the hdfsServerCertificate property: The TLS cert of the HDFS server.
withHours(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Set the hours property: [Required] List of hours for recurrence schedule pattern.
withHttpClient(HttpClient) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the http client.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the id property: Specifies the feature ID.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the id property: Specifies the resource ID.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Set the id property: The ID of the resource.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Set the id property: Virtual Machine image path.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the identity property: Identity configuration.
withIdentity(IdentityForCmk) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the identity property: The identity that will be used to access the key vault for encryption at rest.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the identity property: The identity of the resource.
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentityClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the identityClientId property: For future use - The client id of the identity which will be used to access key vault.
withImage(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the image property: Name of the image that will be used for the environment.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithImageBuildCompute: Specifies the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithImageBuildCompute: Specifies the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the imageBuildCompute property: The compute name for image build.
withImagePullSecretName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the imagePullSecretName property: Image registry pull secret.
withImagePullSecretName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the imagePullSecretName property: Image registry pull secret.
withImageSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the imageSize property: Image size for train and validation.
withImageSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the imageSize property: Image size for train and validation.
withInferenceConfig(InferenceContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the inferenceConfig property: Defines configuration specific to inference.
withInitialDelay(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the initialDelay property: The delay before the first probe in ISO 8601 format.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the inputs property: Mapping of input data bindings used in the job.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the inputs property: Inputs for the pipeline job.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the inputs property: Mapping of input data bindings used in the job.
withInstanceCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the instanceCount property: Optional number of instances or nodes used by the compute target.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the instanceType property: Optional type of VM used as supported by the compute target.
withInstanceTypes(Map<String, InstanceTypeSchema>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the instanceTypes property: Instance Type Schema.
withInterval(int) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the interval property: [Required] Specifies schedule interval in conjunction with frequency.
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the isArchived property: Is the asset archived?.
withIsDataAction(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Set the isDataAction property: Indicates whether the operation applies to data-plane.
withIsNotebookInstanceCompute(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the isNotebookInstanceCompute property: Indicates whether this compute will be used for running notebooks.
withIsolatedNetwork(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the isolatedNetwork property: Network is isolated or not.
withJobId(String) - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Set the jobId property: ARM resource ID of the job.
withJobId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference: Set the jobId property: ARM resource ID of the job.
withJobName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the jobName property: Name of the training job which produced this model.
withJobs(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the jobs property: Jobs construct the Pipeline Job.
withJobServiceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the jobServiceType property: Endpoint type.
withKerberosKdcAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Set the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
withKerberosKdcAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Set the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
withKerberosKdcAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Set the kerberosKdcAddress property: [Required] IP Address or DNS HostName.
withKerberosKeytab(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabSecrets: Set the kerberosKeytab property: Kerberos keytab secret.
withKerberosPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordSecrets: Set the kerberosPassword property: Kerberos password secret.
withKerberosPrincipal(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Set the kerberosPrincipal property: [Required] Kerberos Username.
withKerberosPrincipal(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Set the kerberosPrincipal property: [Required] Kerberos Username.
withKerberosPrincipal(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Set the kerberosPrincipal property: [Required] Kerberos Username.
withKerberosRealm(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosCredentials: Set the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
withKerberosRealm(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Set the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
withKerberosRealm(String) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Set the kerberosRealm property: [Required] Domain over which a Kerberos authentication server has the authority to authenticate a user, host or service.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Set the key property: Storage account key.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the key property: Key data.
withKeyIdentifier(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the keyIdentifier property: Key vault uri to access the encryption key.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeyType(KeyType) - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Set the keyType property: [Required] Specification for which type of key to generate.
withKeyValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Set the keyValue property: The value the key is set to.
withKeyVault(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithKeyVault: Specifies the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the keyVault property: Setting for diagnosing dependent key vault.
withKeyVaultArmId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the keyVaultArmId property: The ArmId of the keyVault where the customer owned encryption key is present.
withKeyVaultProperties(EncryptionKeyVaultProperties) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the keyVaultProperties property: Customer Key vault properties.
withKeyVaultResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the keyVaultResults property: The keyVaultResults property.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.UpdateStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.UpdateStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.UpdateStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.UpdateStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the layersToFreeze property: Number of layers to freeze for the model.
withLeafDomainLabel(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the leafDomainLabel property: Leaf domain label of public endpoint.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the learningRate property: Initial learning rate.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the learningRate property: Initial learning rate.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the learningRate property: Initial learning rate.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the learningRateScheduler property: Type of learning rate scheduler.
withLimit(Long) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the limit property: Limit.
withLimit(Long) - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Set the limit property: Limit.
withLimits(CommandJobLimits) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the limits property: Command Job limit.
withLimits(ImageSweepLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Set the limits property: [Required] Limit settings for model sweeping and hyperparameter sweeping.
withLimits(SweepJobLimits) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the limits property: Sweep Job limit.
withLimits(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Set the limits property: Resource limits for this instance type.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the limitSettings property: Execution constraints for AutoMLJob.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the livenessRoute property: The route to check the liveness of the inference server container.
withLoadBalancerSubnet(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the loadBalancerSubnet property: Load Balancer Subnet.
withLoadBalancerType(LoadBalancerType) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the loadBalancerType property: Load Balancer Type.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the location property: The geo-location where the resource lives.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the location property: The geo-location where the resource lives.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the location property: The geo-location where the resource lives.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the location property: The geo-location where the resource lives.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Set the location property: Region of workspace quota to be updated.
withLoggingLevel(BatchLoggingLevel) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the loggingLevel property: Logging level for batch inference operation.
withLoggingLevel(BatchLoggingLevel) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the loggingLevel property: Logging level for batch inference operation.
withLogOptions(HttpLogOptions) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the logging options to the HTTP pipeline.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the logVerbosity property: Log verbosity for the job.
withLun(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the lun property: The logical unit number.
withMaxConcurrencyPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the maxConcurrencyPerInstance property: Indicates maximum number of parallelism per instance.
withMaxConcurrencyPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the maxConcurrencyPerInstance property: Indicates number of processes per instance.
withMaxConcurrentRequestsPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the maxConcurrentRequestsPerInstance property: The number of maximum concurrent requests per node allowed per deployment.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the maxConcurrentTrials property: Maximum number of concurrent AutoML iterations.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings: Set the maxConcurrentTrials property: Maximum number of concurrent iterations for the underlying Sweep job.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the maxConcurrentTrials property: Maximum Concurrent AutoML iterations.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the maxConcurrentTrials property: Sweep Job max concurrent trials.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxConcurrentTrials property: Maximum Concurrent iterations.
withMaxCoresPerTrial(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxCoresPerTrial property: Max cores per iteration.
withMaximum(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the maximum property: Gets or sets the maximum.
withMaxInstances(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the maxInstances property: The maximum number of instances that the deployment can scale to.
withMaxNodeCount(int) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the maxNodeCount property: Max number of nodes to use.
withMaxNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the maxNodeCount property: The maxNodeCount property.
withMaxQueueWait(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the maxQueueWait property: The maximum amount of time a request will stay in the queue in ISO 8601 format.
withMaxRetries(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Set the maxRetries property: Maximum retry count for a mini-batch.
withMaxRetries(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings: Set the maxRetries property: Maximum retry count for a mini-batch.
withMaxSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
withMaxSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
withMaxTotalTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the maxTotalTrials property: Sweep Job max total trials.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the maxTrials property: Maximum number of AutoML iterations.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepLimitSettings: Set the maxTrials property: Maximum number of iterations for the underlying Sweep job.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the maxTrials property: Number of AutoML iterations.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxTrials property: Number of iterations.
withMemory(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the memory property: Memory size request/limit for container.
withMiniBatchSize(Long) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
withMiniBatchSize(Long) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
withMinimum(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the minimum property: Gets or sets the minimum.
withMinInstances(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the minInstances property: The minimum number of instances to always be present.
withMinNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the minNodeCount property: The minNodeCount property.
withMinNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the minNodeCount property: Min number of nodes to use.
withMinSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
withMinSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
withMinutes(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Set the minutes property: [Required] List of minutes for recurrence schedule pattern.
withMirrorTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
withMirrorTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Set the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
withMode(FeaturizationMode) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the mode property: Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the mode property: Output Asset Delivery Mode.
withModel(AssetReferenceBase) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the model property: Reference to the model asset for the endpoint deployment.
withModel(PartialAssetReferenceBase) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the model property: Reference to the model asset for the endpoint deployment.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the model property: The URI path to the model.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the model property: The URI path to the model.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the model property: The URI path to the model.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the modelMountPath property: The path to mount the model in custom container.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the modelMountPath property: The path to mount the model in custom container.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the modelMountPath property: The path to mount the model in custom container.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the modelName property: Name of the model to use for training.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the modelSettings property: Settings used for training the model.
withModelSize(ModelSize) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the modelSize property: Model size.
withModelSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the modelSize property: Model size.
withModelType(ModelType) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the modelType property: The storage format for this entity.
withModelUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the modelUri property: The URI path to the model contents.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMountAction(MountAction) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountAction property: Mount Action.
withMountedOn(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountedOn property: Mounted time.
withMountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountName property: name of the ComputeInstance data mount.
withMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountPath property: Path of this data mount.
withMountState(MountState) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountState property: Mount state.
withMultiScale(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
withMultiScale(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlOperationInner: Set the name property: Operation name: {provider}/{resource}/{operation}.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the name property: Name of the ComputeInstance container.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Set the name property: name of environment.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the name property: The name of the SKU.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the name property: Unique name of the private link.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the name property: The name of the SKU.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Set the name property: [Required] The name of the SKU.
withNameNodeAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the nameNodeAddress property: [Required] IP Address or DNS HostName.
withNamespace(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the namespace property: Compute namespace.
withNCrossValidations(NCrossValidations) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNetwork(Network) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the network property: network of this container.
withNetworkSecurityRuleResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the networkSecurityRuleResults property: The networkSecurityRuleResults property.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of BatchDeployment objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of BatchEndpoint objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of CodeContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of CodeVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ComponentContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ComponentVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of DataContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Set the nextLink property: The link to the next page of Datastore objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Set the nextLink property: The link to the next page of DataVersionBase objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of EnvironmentContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of EnvironmentVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Set the nextLink property: The link to the next page of JobBase objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ModelContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ModelVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of OnlineDeployment objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of OnlineEndpoint objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Set the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList: Set the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Set the nextLink property: The link to the next page of SkuResource objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Set the nextLink property: The URI that can be used to request the next list of machine learning workspaces.
withNmsIouThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
withNmsIouThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
withNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeCount property: The number of compute nodes currently assigned to the compute.
withNodeIdleTimeBeforeScaleDown(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the nodeIdleTimeBeforeScaleDown property: Node Idle Time before scaling down amlCompute.
withNodeSelector(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Set the nodeSelector property: Node Selector.
withNodeSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeSize property: Node size.
withNodeSizeFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeSizeFamily property: Node size family.
withNotebookPreparationError(NotebookPreparationError) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the notebookPreparationError property: The error that occurs when preparing notebook.
withNotebookServerPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the notebookServerPort property: Notebook server port open for ssh connections.
withNsg(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the nsg property: Setting for diagnosing network security group.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the numberOfEpochs property: Number of training epochs.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the numberOfWorkers property: Number of data loader workers.
withObjectId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Set the objectId property: User’s AAD Object Id.
withObjectId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the objectId property: Specifies a user-assigned identity by object ID.
withObjective(Objective) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the objective property: [Required] Optimization objective.
withOperation(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Set the operation property: The operation that users can perform.
withOperationName(OperationName) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationName property: Name of the last operation.
withOperationStatus(OperationStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationStatus property: Operation status.
withOperationTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationTime property: Time of the last operation.
withOperationTrigger(OperationTrigger) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationTrigger property: Trigger of operation.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the optimizer property: Type of optimizer.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the optimizer property: Type of optimizer.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the optimizer property: Type of optimizer.
withOsType(OperatingSystemType) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the osType property: The OS type of the environment.
withOsType(OsType) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the osType property: Compute OS Type.
withOsType(VMPriceOSType) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the osType property: OS type Operating system type used by the VM.
withOtherResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the otherResults property: The otherResults property.
withOthers(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the others property: Setting for diagnosing unclassified category of problems.
withOutputAction(BatchOutputAction) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the outputAction property: Indicates how the output will be organized.
withOutputAction(BatchOutputAction) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the outputAction property: Indicates how the output will be organized.
withOutputFileName(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the outputFileName property: Customized output file name for append_row output action.
withOutputFileName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the outputFileName property: Customized output file name for append_row output action.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the outputs property: Mapping of output data bindings used in the job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the outputs property: Mapping of output data bindings used in the job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the outputs property: Outputs for the pipeline job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the outputs property: Mapping of output data bindings used in the job.
withOverwriteExistingDomain(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the overwriteExistingDomain property: Indicates whether to overwrite existing domain label.
withParameters(Object) - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Set the parameters property: Different properties to be passed to transformer.
withParameterServerCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Set the parameterServerCount property: Number of parameter server tasks.
withPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the password property: Password of admin account.
withPasswords(List<Password>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Set the passwords property: The passwords property.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Set the path property: The path of the file/directory in the datastore.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Set the path property: The path of the file/directory in the job output.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialDataPathAssetReference: Set the path property: The path of the file/directory in the datastore.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOutputPathAssetReference: Set the path property: The path of the file/directory in the job output.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.Route: Set the path property: [Required] The path for the route.
withPattern(RecurrencePattern) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the pattern property: Specifies the recurrence schedule pattern.
withPeriod(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the period property: The length of time between probes in ISO 8601 format.
withPersonalComputeInstanceSettings(PersonalComputeInstanceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the personalComputeInstanceSettings property: Settings for a personal compute instance.
withPolicy(HttpPipelinePolicy) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Adds the pipeline policy to the HTTP pipeline.
withPollingInterval(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the pollingInterval property: The polling interval in ISO 8691 format.
withPoolName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the poolName property: Pool name.
withPort(int) - Method in class com.azure.resourcemanager.machinelearning.models.Route: Set the port property: [Required] The port for the route.
withPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Set the port property: The port property.
withPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the port property: Port for endpoint.
withPrimaryKey(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Set the primaryKey property: The primary key.
withPrimaryMetric(ClassificationMultilabelPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the primaryMetric property: Primary metric for the task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the primaryMetric property: Primary metric for Text-Classification task.
withPrimaryMetric(ForecastingPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the primaryMetric property: Primary metric for forecasting task.
withPrimaryMetric(InstanceSegmentationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ObjectDetectionPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(RegressionPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the primaryMetric property: Primary metric for regression task.
withPrimaryMetric(String) - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Set the primaryMetric property: [Required] Name of the metric to optimize.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithPrimaryUserAssignedIdentity: Specifies the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity..
withPrimaryUserAssignedIdentity(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithPrimaryUserAssignedIdentity: Specifies the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity..
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrivateEndpoint(PrivateEndpoint) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the privateEndpoint property: The resource of private end point.
withPrivateEndpoint(PrivateEndpoint) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Set the privateEndpoint property: The resource of private end point.
withPrivateEndpoint(PrivateEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithPrivateEndpoint: Specifies the privateEndpoint property: The resource of private end point..
withPrivateEndpoint(PrivateEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithPrivateEndpoint: Specifies the privateEndpoint property: The resource of private end point..
withPrivateKeyData(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the privateKeyData property: Private key data.
withPrivateLinkResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the privateLinkResourceId property: The resource id that private link links to.
withPrivateLinkResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the privateLinkResourceId property: The resource id that private link links to.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Set the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithPrivateLinkServiceConnectionState: Specifies the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider..
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithPrivateLinkServiceConnectionState: Specifies the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider..
withPrivateNetworkConnection(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the privateNetworkConnection property: If true, enable private network connection.
withPrivateNetworkConnection(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the privateNetworkConnection property: If true, enable private network connection.
withPrivateNetworkConnection(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the privateNetworkConnection property: If true, enable private network connection.
withProcessCountPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Set the processCountPerInstance property: Number of processes per MPI node.
withProcessCountPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Set the processCountPerInstance property: Number of processes per node.
withProperties(AksSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the properties property: AKS properties.
withProperties(AksSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Set the properties property: AKS properties.
withProperties(AmlComputeProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the properties property: Properties of AmlCompute.
withProperties(AmlComputeProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Set the properties property: Properties of AmlCompute.
withProperties(BatchDeploymentDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(BatchDeploymentDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(BatchEndpointDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(BatchEndpointDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeContainerDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(CodeContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainerData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeVersionDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(CodeVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersionData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentContainerDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ComponentContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainerData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentVersionDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ComponentVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersionData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(Compute) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the properties property: Compute properties.
withProperties(Compute) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithProperties: Specifies the properties property: Compute properties.
withProperties(Compute) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Set the properties property: Compute properties.
withProperties(ComputeInstanceProperties) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the properties property: Properties of ComputeInstance.
withProperties(ComputeInstanceProperties) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Set the properties property: Properties of ComputeInstance.
withProperties(DatabricksProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the properties property: Properties of Databricks.
withProperties(DatabricksProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Set the properties property: Properties of Databricks.
withProperties(DataContainerDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DataContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainerData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataLakeAnalyticsSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the properties property: The properties property.
withProperties(DataLakeAnalyticsSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Set the properties property: The properties property.
withProperties(DatastoreDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DatastoreDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DatastoreDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataVersionBaseDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DataVersionBaseDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataVersionBaseDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBaseData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentContainerDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(EnvironmentContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainerData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentVersionDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(EnvironmentVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersionData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FqdnEndpointsProperties) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Set the properties property: The properties property.
withProperties(HDInsightProperties) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the properties property: HDInsight compute properties.
withProperties(HDInsightProperties) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Set the properties property: HDInsight compute properties.
withProperties(JobBaseDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(JobBaseDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(JobBaseDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBaseData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(KubernetesProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the properties property: Properties of Kubernetes.
withProperties(KubernetesProperties) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Set the properties property: Properties of Kubernetes.
withProperties(ModelContainerDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ModelContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelContainerDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainerData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelVersionDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ModelVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelVersionDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersionData.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(OnlineDeploymentDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(OnlineDeploymentDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(OnlineEndpointDetails) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(OnlineEndpointDetails) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(PartialBatchDeployment) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.UpdateStages.WithProperties: Specifies the properties property: Additional attributes of the entity..
withProperties(PartialBatchDeployment) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the properties property: Additional attributes of the entity.
withProperties(PartialBatchEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.UpdateStages.WithProperties: Specifies the properties property: Additional attributes of the entity..
withProperties(PartialBatchEndpoint) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the properties property: Additional attributes of the entity.
withProperties(PartialOnlineDeployment) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.UpdateStages.WithProperties: Specifies the properties property: Additional attributes of the entity..
withProperties(PartialOnlineDeployment) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the properties property: Additional attributes of the entity.
withProperties(PartialOnlineEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.UpdateStages.WithProperties: Specifies the properties property: Additional attributes of the entity..
withProperties(PartialOnlineEndpoint) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the properties property: Additional attributes of the entity.
withProperties(ScaleSettingsInformation) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Set the properties property: Properties of ClusterUpdate.
withProperties(ScaleSettingsInformation) - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Set the properties property: Properties of ClusterUpdate.
withProperties(ScaleSettingsInformation) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.UpdateStages.WithProperties: Specifies the properties property: Properties of ClusterUpdate.
withProperties(SynapseSparkProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the properties property: The properties property.
withProperties(VirtualMachineSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the properties property: The properties property.
withProperties(VirtualMachineSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Set the properties property: The properties property.
withProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the properties property: Additional properties bag.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDetails: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the properties property: Additional properties to set on the endpoint.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the properties property: The asset property dictionary.
withPropertyBag(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the propertyBag property: A property bag containing additional properties.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the protocol property: Protocol used to communicate with the storage account (Https/Http).
withProvider(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Set the provider property: The resource provider name: Microsoft.MachineLearningExperimentation.
withPublicKeyData(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the publicKeyData property: Public key data.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithPublicNetworkAccess: Specifies the publicNetworkAccess property: Whether requests from Public Network are allowed..
withPublicNetworkAccess(PublicNetworkAccess) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithPublicNetworkAccess: Specifies the publicNetworkAccess property: Whether requests from Public Network are allowed..
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
withPublicNetworkAccess(PublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Set the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the randomSeed property: Random seed to be used when using deterministic training.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the readinessRoute property: The route to check the readiness of the inference server container.
withReferencedUris(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the referencedUris property: Uris referenced in the MLTable definition (required for lineage).
withRefreshAfterTimeUtc(Long) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the refreshAfterTimeUtc property: Refresh access token after time (UTC).
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithLocation: Specifies the region for the resource.
withRelayConnectionString(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the relayConnectionString property: Relay connection string.
withRemoteLoginPortPublicAccess(RemoteLoginPortPublicAccess) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the remoteLoginPortPublicAccess property: Close remote Login Access Port State of the public SSH port.
withRequestMessage(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the requestMessage property: Request message.
withRequestMessage(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the requestMessage property: Request message.
withRequests(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Set the requests property: Resource requests for this instance type.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the requestSettings property: Request settings for the deployment.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the requestSettings property: Request settings for the deployment.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the requestSettings property: Request settings for the deployment.
withRequestTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the requestTimeout property: The scoring timeout in ISO 8601 format.
withRequiredZoneNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Set the requiredZoneNames property: The private link resource Private link DNS zone name.
withRequiredZoneNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the requiredZoneNames property: The private link resource Private link DNS zone name.
withResource(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationDisplay: Set the resource property: The resource on which the operation is performed.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the resourceGroup property: Name of the resource group in which workspace is located.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the resourceId property: the data plane resourceId that used to initialize notebook component.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the resourceId property: Specifies a user-assigned identity by ARM resource ID.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the resourceId property: ARM resource id of the underlying compute.
withResourceLock(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the resourceLock property: Setting for diagnosing resource lock.
withResourceLockResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the resourceLockResults property: The resourceLockResults property.
withResources(InstanceTypeSchemaResources) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Set the resources property: Resource requests/limits for this instance type.
withResources(ResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the resources property: Compute Resource configuration for the job.
withResources(ResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the resources property: Indicates compute configuration for the job.
withResources(ResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the resources property: Compute Resource configuration for the job.
withResources(ResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the resources property: Compute Resource configuration for the job.
withResourceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the resourceUrl property: Resource the service principal has access to.
withResourceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the resourceUrl property: Resource the service principal has access to.
withRetailPrice(double) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the retailPrice property: Retail price The price charged for using the VM.
withRetryOptions(RetryOptions) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the retry options for the HTTP pipeline retry policy.
withRetryPolicy(RetryPolicy) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the retry policy to the HTTP pipeline.
withRetrySettings(BatchRetrySettings) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentDetails: Set the retrySettings property: Retry Settings for the batch inference operation.
withRetrySettings(PartialBatchRetrySettings) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the retrySettings property: Retry Settings for the batch inference operation.
withRule(RandomSamplingAlgorithmRule) - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Set the rule property: The specific type of random algorithm.
withRuntime(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Set the runtime property: Runtime of compute instance.
withSamplingAlgorithm(SamplingAlgorithm) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the samplingAlgorithm property: [Required] The hyperparameter sampling algorithm.
withSamplingAlgorithm(SamplingAlgorithmType) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Set the samplingAlgorithm property: [Required] Type of the hyperparameter sampling algorithms.
withSasToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Set the sasToken property: Storage container SAS token.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentDetails: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(ScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the scaleSettings property: Scale settings for AML Compute.
withScaleSettings(ScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Set the scaleSettings property: scale settings for AML Compute.
withScaleType(SkuScaleType) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the scaleType property: Gets or sets the type of the scale.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the schedule property: Schedule definition of job.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the schedule property: Schedule definition of job.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the schedule property: Base definition of a schedule.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the schedule property: Schedule definition of job.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the schedule property: Schedule definition of job.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the schedule property: Schedule definition of job.
withScheduleStatus(ScheduleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Set the scheduleStatus property: Specifies the schedule's status.
withScheduleStatus(ScheduleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the scheduleStatus property: Specifies the schedule's status.
withScheduleStatus(ScheduleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the scheduleStatus property: Specifies the schedule's status.
withScope(String) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Adds the scope to permission sets.
withScoringRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the scoringRoute property: The port to send the scoring requests to, within the inference server container.
withScoringScript(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Set the scoringScript property: [Required] The script to execute on startup.
withScoringScript(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialCodeConfiguration: Set the scoringScript property: The script to execute on startup.
withScriptArguments(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptArguments property: Optional command line arguments passed to the script to run.
withScriptData(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptData property: The location of scripts in the mounted volume.
withScripts(ScriptsToExecute) - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Set the scripts property: Customized setup scripts.
withScriptSource(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptSource property: The storage source of the script: inline, workspace.
withSearchSpace(Object) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the searchSpace property: [Required] A dictionary containing each parameter and its distribution.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSeasonality(Seasonality) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the seasonality property: Set time series seasonality as an integer multiple of the series frequency.
withSecondaryKey(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Set the secondaryKey property: The secondary key.
withSecrets(AccountKeyDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Set the secrets property: [Required] Storage account secrets.
withSecrets(CertificateDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the secrets property: [Required] Service principal secrets.
withSecrets(KerberosKeytabSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosKeytabCredentials: Set the secrets property: [Required] Keytab secrets.
withSecrets(KerberosPasswordSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.KerberosPasswordCredentials: Set the secrets property: [Required] Kerberos password secrets.
withSecrets(SasDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Set the secrets property: [Required] Storage container secrets.
withSecrets(ServicePrincipalDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the secrets property: [Required] Service principal secrets.
withSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Set the seed property: An optional integer to use as the seed for random number generation.
withServiceBusConnectionString(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the serviceBusConnectionString property: ServiceBus connection string.
withServiceCidr(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the serviceCidr property: A CIDR notation IP range from which to assign service cluster IPs.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithServiceManagedResourcesSettings: Specifies the serviceManagedResourcesSettings property: The service managed resource settings..
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithServiceManagedResourcesSettings: Specifies the serviceManagedResourcesSettings property: The service managed resource settings..
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the services property: List of JobEndpoints.
withSettings(Object) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the settings property: Pipeline settings, for things like ContinueRunOnStepFailure etc.
withSetupScripts(SetupScripts) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the setupScripts property: Details of customized scripts to execute for setting up the cluster.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithSharedPrivateLinkResources: Specifies the sharedPrivateLinkResources property: The list of shared private link resources in this workspace..
withShortSeriesHandlingConfig(ShortSeriesHandlingConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the shortSeriesHandlingConfig property: The parameter defining how if AutoML should handle short time series.
withSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the size property: The SKU size.
withSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the size property: The SKU size.
withSkipValidation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.DefinitionStages.WithSkipValidation: Specifies the skipValidation property: Flag to skip validation..
withSkipValidation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreData.UpdateStages.WithSkipValidation: Specifies the skipValidation property: Flag to skip validation..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the sku property: The sku of the workspace.
withSku(SkuSetting) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Set the sku property: Gets or sets the Sku.
withSlackAmount(Float) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the slackAmount property: Absolute distance allowed from the best performing run.
withSlackFactor(Float) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the slackFactor property: Ratio of the allowed distance from the best performing run.
withSource(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the source property: Source of the ComputeInstance data mount.
withSourceType(SourceType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the sourceType property: Data source type.
withSparkVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the sparkVersion property: Spark version.
withSplitRatio(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSplitRatio(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSplitRatio(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSplitRatio(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSplitRatio(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSplitRatio(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the splitRatio property: If validation data is not defined, this specifies the split ratio for splitting train data into random train and validation subsets.
withSshPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the sshPort property: Port open for ssh connections on the master node of the cluster.
withSshPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the sshPort property: Port open for ssh connections.
withSshPublicAccess(SshPublicAccess) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Set the sshPublicAccess property: Access policy for SSH State of the public SSH port.
withSshSettings(ComputeInstanceSshSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the sshSettings property: Specifies policy and settings for SSH access.
withSslConfiguration(SslConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the sslConfiguration property: SSL configuration.
withStackEnsembleSettings(StackEnsembleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
withStackMetaLearnerKWargs(Object) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerKWargs property: Optional parameters to pass to the initializer of the meta-learner.
withStackMetaLearnerTrainPercentage(Double) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerTrainPercentage property: Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner.
withStackMetaLearnerType(StackMetaLearnerType) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerType property: The meta-learner is a model trained on the output of the individual heterogeneous models.
withStartTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Set the startTime property: Specifies start time of schedule in ISO 8601 format.
withStartTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the startTime property: Specifies start time of schedule in ISO 8601 format.
withStartTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the startTime property: Specifies start time of schedule in ISO 8601 format.
withStartupScript(ScriptReference) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Set the startupScript property: Script that's run every time the machine starts.
withStatus(EncryptionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the status property: Indicates whether or not the encryption is enabled for the workspace.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(SslConfigurationStatus) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the status property: Enable or disable ssl for scoring.
withStatus(Status) - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Set the status property: Update Workspace Quota Status.
withStatusCode(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Set the statusCode property: The statusCode property.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStorageAccount(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithStorageAccount: Specifies the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the storageAccount property: Setting for diagnosing dependent storage account.
withStorageAccountResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the storageAccountResults property: The storageAccountResults property.
withStorageAccountType(StorageAccountType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the storageAccountType property: type of this storage account.
withStoreName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the storeName property: [Required] Azure Data Lake store name.
withSubnet(ResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the subnet property: Virtual network subnet resource ID the compute nodes belong to.
withSubnet(ResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the subnet property: Virtual network subnet resource ID the compute nodes belong to.
withSubnetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the subnetId property: Virtual network subnet resource ID the compute nodes belong to.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the subscriptionId property: Azure subscription identifier.
withSuccessThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the successThreshold property: The number of successful probes before returning a healthy status.
withSupportedComputeTypes(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Set the supportedComputeTypes property: Supported Compute Types Specifies the compute types supported by the virtual machine size.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentDataInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointDataInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentDataInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointDataInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeploymentData.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpointData.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.HdfsDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionDetails: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeploymentData.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpointData.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchEndpointPartialTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineDeploymentPartialTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpointPartialTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithTags: Specifies the tags property: The resource tags for the machine learning workspace..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the tags property: The resource tags for the machine learning workspace.
withTail(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Set the tail property: The maximum number of lines to tail.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Set the target property: Target of the workspace connection.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Set the target property: Target of the workspace connection.
withTarget(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithTarget: Specifies the target property: Target of the workspace connection..
withTargetAggregateFunction(TargetAggregationFunction) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetAggregateFunction property: The function to be used to aggregate the time series target column to conform to a user specified frequency.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Set the targetColumnName property: [Required] Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Set the targetColumnName property: [Required] Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Set the targetColumnName property: [Required] Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Set the targetColumnName property: [Required] Target column name: This is prediction values column.
withTargetLags(TargetLags) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetLags property: The number of past periods to lag from the target column.
withTargetRollingWindowSize(TargetRollingWindowSize) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetRollingWindowSize property: The number of past periods used to create a rolling window average of the target column.
withTargetUtilizationPercentage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the targetUtilizationPercentage property: Target CPU usage for the autoscaler.
withTaskDetails(AutoMLVertical) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the taskDetails property: [Required] This represents scenario which can be one of Tables/NLP/Image.
withTenantId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Set the tenantId property: User’s AAD Tenant Id.
withTenantId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the tenantId property: [Required] ID of the tenant to which the service principal belongs.
withTenantId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the tenantId property: [Required] ID of the tenant to which the service principal belongs.
withTestData(TestDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Set the testData property: Test data input.
withTestData(TestDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Set the testData property: Test data input.
withTestData(TestDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Set the testData property: Test data input.
withTestData(TestDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Set the testData property: Test data input.
withTestDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TestDataSettings: Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
withThumbprint(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the thumbprint property: [Required] Thumbprint of the certificate used for authentication.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the tier property: 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.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the tier property: 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.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Set the tier property: 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.
withTileGridSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tileGridSize property: The grid size to use for tiling each image.
withTileGridSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tileGridSize property: The grid size to use for tiling each image.
withTileOverlapRatio(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
withTileOverlapRatio(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
withTilePredictionsNmsThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
withTilePredictionsNmsThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
withTimeColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the timeColumnName property: The name of the time column.
withTimeout(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the timeout property: Optional time period passed to timeout command.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Set the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the timeout property: AutoML job timeout.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the timeout property: AutoML job timeout.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchRetrySettings: Set the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the timeout property: The probe timeout in ISO 8601 format.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the timeout property: AutoML job timeout.
withTimeSeriesIdColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the timeSeriesIdColumnNames property: The names of columns used to group a timeseries.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronSchedule: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the timeZone property: Specifies time zone in which the schedule runs.
withTokenType(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the tokenType property: Access token type.
withTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointDetails: Set the traffic property: Percentage of traffic from endpoint to divert to each deployment.
withTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialOnlineEndpoint: Set the traffic property: Percentage of traffic from endpoint to divert to each deployment.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the trainingBatchSize property: Training batch size.
withTrainingCropSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
withTrainingCropSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
withTrainingData(TrainingDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.DataSettings: Set the trainingData property: [Required] Training data input.
withTrainingData(TrainingDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Set the trainingData property: [Required] Training data input.
withTrainingData(TrainingDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Set the trainingData property: [Required] Training data input.
withTrainingData(TrainingDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Set the trainingData property: [Required] Training data input.
withTrainingSettings(TrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTrainingSettings(TrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTrainingSettings(TrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTrainingSettings(TrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTransformerParams(Map<String, List<ColumnTransformer>>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the transformerParams property: User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.
withTrial(TrialComponent) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the trial property: [Required] Trial component definition.
withTrialTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the trialTimeout property: Sweep Job Trial timeout value.
withTrialTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the trialTimeout property: Iteration timeout.
withTruncationPercentage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the truncationPercentage property: The percentage of runs to cancel at each evaluation interval.
withType(ManagedServiceIdentityType) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Set the type property: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
withType(ManagedServiceIdentityType) - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Set the type property: Managed service identity (system assigned and/or user assigned identities).
withType(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the type property: Specifies the resource type.
withUdr(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the udr property: Setting for diagnosing user defined routing.
withUnit(QuotaUnit) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the unit property: An enum describing the unit of quota measurement.
withUnitOfMeasure(UnitOfMeasure) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the unitOfMeasure property: Unit of time measure The unit of time measurement for the specified VM price.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the uri property: Output Asset URI.
withUserAccountCredentials(UserAccountCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the userAccountCredentials property: Credentials for an administrator user account that will be created on each compute node.
withUserAssignedIdentities(Map<String, UserAssignedIdentity>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Set the userAssignedIdentities property: The set of user assigned identities associated with the resource.
withUserAssignedIdentities(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Set the userAssignedIdentities property: The set of user assigned identities associated with the resource.
withUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Set the userAssignedIdentity property: The ArmId of the user assigned identity that will be used to access the customer managed key vault.
withUserDefinedRouteResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the userDefinedRouteResults property: The userDefinedRouteResults property.
withUserKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withUserKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the username property: Username of admin account.
withUseStl(UseStl) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the useStl property: Configure STL Decomposition of the time-series target column.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationBatchSize property: Validation batch size.
withValidationCropSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
withValidationCropSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
withValidationData(ImageVerticalValidationDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings: Set the validationData property: Settings for the validation dataset.
withValidationData(NlpVerticalValidationDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalDataSettings: Set the validationData property: Validation data inputs.
withValidationData(TableVerticalValidationDataSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Set the validationData property: Validation data inputs.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVerticalValidationDataSettings: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalValidationDataSettings: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalValidationDataSettings: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ValidationDataSettings: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationIouThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationIouThreshold property: IOU threshold to use when computing validation metric.
withValidationIouThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationIouThreshold property: IOU threshold to use when computing validation metric.
withValidationMetricType(ValidationMetricType) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationMetricType property: Metric computation method to use for validation metrics.
withValidationMetricType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationMetricType property: Metric computation method to use for validation metrics.
withValidationResizeSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
withValidationResizeSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Set the value property: [Required] Forecast horizon value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Set the value property: [Required] N-Cross validations value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Set the value property: [Required] Seasonality value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Set the value property: [Required] TargetRollingWindowSize value.
withValue(DiagnoseRequestProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Set the value property: Value of Parameters.
withValue(DiagnoseResponseResultValue) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Set the value property: The value property.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Set the value property: [Required] Literal value for the input.
withValue(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithValue: Specifies the value property: Value details of the workspace connection..
withValue(List<AmlOperationInner>) - Method in class com.azure.resourcemanager.machinelearning.models.AmlOperationListResult: Set the value property: List of AML workspace operations supported by the AML workspace resource provider.
withValue(List<BatchDeploymentDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type BatchDeployment.
withValue(List<BatchEndpointDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type BatchEndpoint.
withValue(List<CodeContainerDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Set the value property: An array of objects of type CodeContainer.
withValue(List<CodeVersionDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Set the value property: An array of objects of type CodeVersion.
withValue(List<ComponentContainerDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Set the value property: An array of objects of type ComponentContainer.
withValue(List<ComponentVersionDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Set the value property: An array of objects of type ComponentVersion.
withValue(List<ComputeResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Set the value property: An array of Machine Learning compute objects wrapped in ARM resource envelope.
withValue(List<DataContainerDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Set the value property: An array of objects of type DataContainer.
withValue(List<DatastoreDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Set the value property: An array of objects of type Datastore.
withValue(List<DataVersionBaseDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Set the value property: An array of objects of type DataVersionBase.
withValue(List<EnvironmentContainerDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Set the value property: An array of objects of type EnvironmentContainer.
withValue(List<EnvironmentVersionDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Set the value property: An array of objects of type EnvironmentVersion.
withValue(List<JobBaseDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Set the value property: An array of objects of type JobBase.
withValue(List<ModelContainerDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Set the value property: An array of objects of type ModelContainer.
withValue(List<ModelVersionDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Set the value property: An array of objects of type ModelVersion.
withValue(List<OnlineDeploymentDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type OnlineDeployment.
withValue(List<OnlineEndpointDataInner>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type OnlineEndpoint.
withValue(List<PrivateEndpointConnectionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Set the value property: Array of private endpoint connections.
withValue(List<SkuResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Set the value property: An array of objects of type SkuResource.
withValue(List<WorkspaceConnectionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedWorkspaceConnectionsList: Set the value property: An array of Workspace connection objects.
withValue(List<WorkspaceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Set the value property: The list of machine learning workspaces.
withValue(List<FqdnEndpoints>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Set the value property: The value property.
withValue(List<PrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Set the value property: Array of private link resources.
withValue(List<QuotaBaseProperties>) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Set the value property: The list for update quota.
withValue(List<VirtualMachineSize>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Set the value property: The list of virtual machine sizes supported by AmlCompute.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnection.DefinitionStages.WithValueFormat: Specifies the valueFormat property: format for the workspace connection value.
withValues(List<EstimatedVMPrice>) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the values property: List of estimated VM prices.
withValues(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Set the values property: [Required] Set target lags values.
withVcName(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the vcName property: VC name.
withVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Set the version property: version of environment.
withVirtualMachineImage(VirtualMachineImage) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the virtualMachineImage property: Virtual Machine image for AML Compute - windows only.
withVirtualMachineSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the virtualMachineSize property: Virtual Machine size.
withVmPriority(VmPriority) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the vmPriority property: Virtual Machine priority.
withVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the vmSize property: Virtual Machine Size.
withVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the vmSize property: Virtual Machine Size.
withVmTier(VMTier) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the vmTier property: VM tier The type of the VM.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWeekdays(List<Weekday>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrencePattern: Set the weekdays property: List of weekdays for recurrence schedule pattern.
withWeightColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalDataSettings: Set the weightColumnName property: The name of the sample weight column.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightedLoss(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the weightedLoss property: Weighted loss.
withWeightedLoss(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the weightedLoss property: Weighted loss.
withWorkerCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Set the workerCount property: Number of workers.
withWorkspaceName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the workspaceName property: Name of Azure Machine Learning workspace.
withWorkspaceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Set the workspaceUrl property: Workspace Url.
workerCount() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Get the workerCount property: Number of workers.
Workspace - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Workspace.
WORKSPACE_SYSTEM_ASSIGNED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value WorkspaceSystemAssignedIdentity for ServiceDataAccessAuthIdentity.
WORKSPACE_USER_ASSIGNED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value WorkspaceUserAssignedIdentity for ServiceDataAccessAuthIdentity.
Workspace.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the Workspace definition.
Workspace.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The Workspace definition stages.
Workspace.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the Workspace definition.
Workspace.DefinitionStages.WithAllowPublicAccessWhenBehindVnet - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify allowPublicAccessWhenBehindVnet.
Workspace.DefinitionStages.WithApplicationInsights - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify applicationInsights.
Workspace.DefinitionStages.WithContainerRegistry - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify containerRegistry.
Workspace.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
Workspace.DefinitionStages.WithDescription - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify description.
Workspace.DefinitionStages.WithDiscoveryUrl - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify discoveryUrl.
Workspace.DefinitionStages.WithEncryption - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify encryption.
Workspace.DefinitionStages.WithFriendlyName - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify friendlyName.
Workspace.DefinitionStages.WithHbiWorkspace - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify hbiWorkspace.
Workspace.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify identity.
Workspace.DefinitionStages.WithImageBuildCompute - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify imageBuildCompute.
Workspace.DefinitionStages.WithKeyVault - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify keyVault.
Workspace.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify location.
Workspace.DefinitionStages.WithPrimaryUserAssignedIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify primaryUserAssignedIdentity.
Workspace.DefinitionStages.WithPublicNetworkAccess - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify publicNetworkAccess.
Workspace.DefinitionStages.WithResourceGroup - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify parent resource.
Workspace.DefinitionStages.WithServiceManagedResourcesSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify serviceManagedResourcesSettings.
Workspace.DefinitionStages.WithSharedPrivateLinkResources - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify sharedPrivateLinkResources.
Workspace.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify sku.
Workspace.DefinitionStages.WithStorageAccount - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify storageAccount.
Workspace.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify tags.
Workspace.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for Workspace update.
Workspace.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The Workspace update stages.
Workspace.UpdateStages.WithApplicationInsights - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify applicationInsights.
Workspace.UpdateStages.WithContainerRegistry - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify containerRegistry.
Workspace.UpdateStages.WithDescription - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify description.
Workspace.UpdateStages.WithFriendlyName - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify friendlyName.
Workspace.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify identity.
Workspace.UpdateStages.WithImageBuildCompute - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify imageBuildCompute.
Workspace.UpdateStages.WithPrimaryUserAssignedIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify primaryUserAssignedIdentity.
Workspace.UpdateStages.WithPublicNetworkAccess - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify publicNetworkAccess.
Workspace.UpdateStages.WithServiceManagedResourcesSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify serviceManagedResourcesSettings.
Workspace.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify sku.
Workspace.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify tags.
WorkspaceConnection - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of WorkspaceConnection.
WorkspaceConnection.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the WorkspaceConnection definition.
WorkspaceConnection.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnection definition stages.
WorkspaceConnection.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the WorkspaceConnection definition.
WorkspaceConnection.DefinitionStages.WithAuthType - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify authType.
WorkspaceConnection.DefinitionStages.WithCategory - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify category.
WorkspaceConnection.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
WorkspaceConnection.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify parent resource.
WorkspaceConnection.DefinitionStages.WithTarget - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify target.
WorkspaceConnection.DefinitionStages.WithValue - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify value.
WorkspaceConnection.DefinitionStages.WithValueFormat - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnection definition allowing to specify valueFormat.
WorkspaceConnectionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Workspace connection.
WorkspaceConnectionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionInner
WorkspaceConnectionProps - Class in com.azure.resourcemanager.machinelearning.fluent.models: Workspace Connection specific properties.
WorkspaceConnectionProps() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionProps
workspaceConnections() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of WorkspaceConnections.
WorkspaceConnections - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of WorkspaceConnections.
WorkspaceConnectionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspaceConnectionsClient.
workspaceFeatures() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of WorkspaceFeatures.
WorkspaceFeatures - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of WorkspaceFeatures.
WorkspaceFeaturesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspaceFeaturesClient.
workspaceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the workspaceId property: The immutable id associated with this workspace.
WorkspaceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: An object that represents a machine learning workspace.
WorkspaceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner
WorkspaceListResult - Class in com.azure.resourcemanager.machinelearning.models: The result of a request to list machine learning workspaces.
WorkspaceListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult
workspaceName() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the workspaceName property: Name of Azure Machine Learning workspace.
WorkspaceProperties - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of WorkspaceProperties.
WorkspacePropertiesInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The properties of a machine learning workspace.
WorkspacePropertiesInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner
WorkspacePropertiesUpdateParameters - Class in com.azure.resourcemanager.machinelearning.fluent.models: The parameters for updating the properties of a machine learning workspace.
WorkspacePropertiesUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParameters
workspaces() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Workspaces.
Workspaces - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Workspaces.
WorkspacesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspacesClient.
WorkspaceUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: The parameters for updating a machine learning workspace.
WorkspaceUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters
workspaceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Get the workspaceUrl property: Workspace Url.

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XGBOOST_CLASSIFIER - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value XGBoostClassifier for ClassificationModels.
XGBOOST_REGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value XGBoostRegressor for ForecastingModels.
XGBOOST_REGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value XGBoostRegressor for RegressionModels.

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