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