181 строка
15 KiB
YAML
181 строка
15 KiB
YAML
### YamlMime:JavaType
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uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager"
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name: "MachineLearningServicesManager"
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nameWithType: "MachineLearningServicesManager"
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summary: "Entry point to Machine<wbr>Learning<wbr>Services<wbr>Manager."
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inheritances:
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- "<xref href=\"java.lang.Object?displayProperty=fullName\" data-throw-if-not-resolved=\"False\" />"
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inheritedClassMethods:
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- classRef: "java.lang.<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html\">Object</a>"
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methodsRef:
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#clone--\">clone</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#equals-java.lang.Object-\">equals</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#finalize--\">finalize</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#getClass--\">getClass</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#hashCode--\">hashCode</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notify--\">notify</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notifyAll--\">notifyAll</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#toString--\">toString</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait--\">wait</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-\">wait</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-int-\">wait</a>"
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syntax: "public final class **MachineLearningServicesManager**"
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methods:
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.authenticate(com.azure.core.credential.TokenCredential,com.azure.core.management.profile.AzureProfile)"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.authenticate(TokenCredential credential, AzureProfile profile)"
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name: "authenticate(TokenCredential credential, AzureProfile profile)"
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nameWithType: "MachineLearningServicesManager.authenticate(TokenCredential credential, AzureProfile profile)"
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summary: "Creates an instance of Machine<wbr>Learning<wbr>Services service API entry point."
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modifiers:
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- "static"
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parameters:
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- description: "the credential to use."
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name: "credential"
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type: "<xref href=\"com.azure.core.credential.TokenCredential?alt=com.azure.core.credential.TokenCredential&text=TokenCredential\" data-throw-if-not-resolved=\"False\" />"
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- description: "the Azure profile for client."
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name: "profile"
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type: "<xref href=\"com.azure.core.management.profile.AzureProfile?alt=com.azure.core.management.profile.AzureProfile&text=AzureProfile\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public static MachineLearningServicesManager authenticate(TokenCredential credential, AzureProfile profile)"
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desc: "Creates an instance of MachineLearningServices service API entry point."
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returns:
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description: "the MachineLearningServices service API instance."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager?alt=com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager&text=MachineLearningServicesManager\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.configure()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.configure()"
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name: "configure()"
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nameWithType: "MachineLearningServicesManager.configure()"
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summary: "Gets a Configurable instance that can be used to create Machine<wbr>Learning<wbr>Services<wbr>Manager with optional configuration."
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modifiers:
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- "static"
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syntax: "public static MachineLearningServicesManager.Configurable configure()"
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desc: "Gets a Configurable instance that can be used to create MachineLearningServicesManager with optional configuration."
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returns:
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description: "the Configurable instance allowing configurations."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.Configurable?alt=com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.Configurable&text=Configurable\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.machineLearningComputes()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.machineLearningComputes()"
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name: "machineLearningComputes()"
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nameWithType: "MachineLearningServicesManager.machineLearningComputes()"
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syntax: "public MachineLearningComputes machineLearningComputes()"
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returns:
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description: "Resource collection API of MachineLearningComputes."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.MachineLearningComputes?alt=com.azure.resourcemanager.machinelearningservices.models.MachineLearningComputes&text=MachineLearningComputes\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.machineLearningServices()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.machineLearningServices()"
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name: "machineLearningServices()"
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nameWithType: "MachineLearningServicesManager.machineLearningServices()"
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syntax: "public MachineLearningServices machineLearningServices()"
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returns:
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description: "Resource collection API of MachineLearningServices."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.MachineLearningServices?alt=com.azure.resourcemanager.machinelearningservices.models.MachineLearningServices&text=MachineLearningServices\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.notebooks()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.notebooks()"
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name: "notebooks()"
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nameWithType: "MachineLearningServicesManager.notebooks()"
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syntax: "public Notebooks notebooks()"
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returns:
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description: "Resource collection API of Notebooks."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.Notebooks?alt=com.azure.resourcemanager.machinelearningservices.models.Notebooks&text=Notebooks\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.operations()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.operations()"
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name: "operations()"
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nameWithType: "MachineLearningServicesManager.operations()"
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syntax: "public Operations operations()"
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returns:
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description: "Resource collection API of Operations."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.Operations?alt=com.azure.resourcemanager.machinelearningservices.models.Operations&text=Operations\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.privateEndpointConnections()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.privateEndpointConnections()"
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name: "privateEndpointConnections()"
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nameWithType: "MachineLearningServicesManager.privateEndpointConnections()"
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syntax: "public PrivateEndpointConnections privateEndpointConnections()"
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returns:
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description: "Resource collection API of PrivateEndpointConnections."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.PrivateEndpointConnections?alt=com.azure.resourcemanager.machinelearningservices.models.PrivateEndpointConnections&text=PrivateEndpointConnections\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.privateLinkResources()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.privateLinkResources()"
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name: "privateLinkResources()"
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nameWithType: "MachineLearningServicesManager.privateLinkResources()"
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syntax: "public PrivateLinkResources privateLinkResources()"
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returns:
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description: "Resource collection API of PrivateLinkResources."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.PrivateLinkResources?alt=com.azure.resourcemanager.machinelearningservices.models.PrivateLinkResources&text=PrivateLinkResources\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.quotas()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.quotas()"
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name: "quotas()"
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nameWithType: "MachineLearningServicesManager.quotas()"
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syntax: "public Quotas quotas()"
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returns:
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description: "Resource collection API of Quotas."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.Quotas?alt=com.azure.resourcemanager.machinelearningservices.models.Quotas&text=Quotas\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.serviceClient()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.serviceClient()"
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name: "serviceClient()"
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nameWithType: "MachineLearningServicesManager.serviceClient()"
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syntax: "public AzureMachineLearningWorkspaces serviceClient()"
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returns:
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description: "Wrapped service client AzureMachineLearningWorkspaces providing direct access to the underlying\n auto-generated API implementation, based on Azure REST API."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.fluent.AzureMachineLearningWorkspaces?alt=com.azure.resourcemanager.machinelearningservices.fluent.AzureMachineLearningWorkspaces&text=AzureMachineLearningWorkspaces\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.storageAccounts()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.storageAccounts()"
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name: "storageAccounts()"
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nameWithType: "MachineLearningServicesManager.storageAccounts()"
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syntax: "public StorageAccounts storageAccounts()"
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returns:
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description: "Resource collection API of StorageAccounts."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.StorageAccounts?alt=com.azure.resourcemanager.machinelearningservices.models.StorageAccounts&text=StorageAccounts\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.usages()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.usages()"
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name: "usages()"
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nameWithType: "MachineLearningServicesManager.usages()"
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syntax: "public Usages usages()"
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returns:
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description: "Resource collection API of Usages."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.Usages?alt=com.azure.resourcemanager.machinelearningservices.models.Usages&text=Usages\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.virtualMachineSizes()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.virtualMachineSizes()"
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name: "virtualMachineSizes()"
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nameWithType: "MachineLearningServicesManager.virtualMachineSizes()"
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syntax: "public VirtualMachineSizes virtualMachineSizes()"
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returns:
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description: "Resource collection API of VirtualMachineSizes."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.VirtualMachineSizes?alt=com.azure.resourcemanager.machinelearningservices.models.VirtualMachineSizes&text=VirtualMachineSizes\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceConnections()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceConnections()"
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name: "workspaceConnections()"
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nameWithType: "MachineLearningServicesManager.workspaceConnections()"
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syntax: "public WorkspaceConnections workspaceConnections()"
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returns:
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description: "Resource collection API of WorkspaceConnections."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.WorkspaceConnections?alt=com.azure.resourcemanager.machinelearningservices.models.WorkspaceConnections&text=WorkspaceConnections\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceFeatures()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceFeatures()"
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name: "workspaceFeatures()"
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nameWithType: "MachineLearningServicesManager.workspaceFeatures()"
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syntax: "public WorkspaceFeatures workspaceFeatures()"
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returns:
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description: "Resource collection API of WorkspaceFeatures."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.WorkspaceFeatures?alt=com.azure.resourcemanager.machinelearningservices.models.WorkspaceFeatures&text=WorkspaceFeatures\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceOperations()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaceOperations()"
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name: "workspaceOperations()"
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nameWithType: "MachineLearningServicesManager.workspaceOperations()"
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syntax: "public WorkspaceOperations workspaceOperations()"
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returns:
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description: "Resource collection API of WorkspaceOperations."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.WorkspaceOperations?alt=com.azure.resourcemanager.machinelearningservices.models.WorkspaceOperations&text=WorkspaceOperations\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaces()"
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fullName: "com.azure.resourcemanager.machinelearningservices.MachineLearningServicesManager.workspaces()"
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name: "workspaces()"
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nameWithType: "MachineLearningServicesManager.workspaces()"
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syntax: "public Workspaces workspaces()"
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returns:
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description: "Resource collection API of Workspaces."
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type: "<xref href=\"com.azure.resourcemanager.machinelearningservices.models.Workspaces?alt=com.azure.resourcemanager.machinelearningservices.models.Workspaces&text=Workspaces\" data-throw-if-not-resolved=\"False\" />"
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type: "class"
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desc: "Entry point to MachineLearningServicesManager. These APIs allow end users to operate on Azure Machine Learning Workspace resources."
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metadata: {}
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package: "com.azure.resourcemanager.machinelearningservices"
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artifact: com.azure.resourcemanager:azure-resourcemanager-machinelearningservices:1.0.0-beta.1
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