5.0.0 • Published 5 years ago

@datafire/azure_machinelearning_workspaces v5.0.0

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1
License
MIT
Repository
github
Last release
5 years ago

@datafire/azure_machinelearning_workspaces

Client library for Machine Learning Workspaces Management Client

Installation and Usage

npm install --save @datafire/azure_machinelearning_workspaces
let azure_machinelearning_workspaces = require('@datafire/azure_machinelearning_workspaces').create({
  access_token: "",
  refresh_token: "",
  client_id: "",
  client_secret: "",
  redirect_uri: ""
});

.then(data => {
  console.log(data);
});

Description

These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

Actions

Operations_List

Lists all of the available Azure Machine Learning Studio REST API operations.

azure_machinelearning_workspaces.Operations_List({
  "api-version": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.

Output

Workspaces_List

Lists all the available machine learning workspaces under the specified subscription.

azure_machinelearning_workspaces.Workspaces_List({
  "api-version": "",
  "subscriptionId": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.

Output

Workspaces_ListByResourceGroup

Lists all the available machine learning workspaces under the specified resource group.

azure_machinelearning_workspaces.Workspaces_ListByResourceGroup({
  "api-version": "",
  "subscriptionId": "",
  "resourceGroupName": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.

Output

Workspaces_Delete

Deletes a machine learning workspace.

azure_machinelearning_workspaces.Workspaces_Delete({
  "api-version": "",
  "subscriptionId": "",
  "resourceGroupName": "",
  "workspaceName": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.
    • workspaceName required string: The name of the machine learning workspace.

Output

Output schema unknown

Workspaces_Get

Gets the properties of the specified machine learning workspace.

azure_machinelearning_workspaces.Workspaces_Get({
  "api-version": "",
  "subscriptionId": "",
  "resourceGroupName": "",
  "workspaceName": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.
    • workspaceName required string: The name of the machine learning workspace.

Output

Workspaces_Update

Updates a machine learning workspace with the specified parameters.

azure_machinelearning_workspaces.Workspaces_Update({
  "api-version": "",
  "subscriptionId": "",
  "resourceGroupName": "",
  "workspaceName": "",
  "parameters": null
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.
    • workspaceName required string: The name of the machine learning workspace.
    • parameters required WorkspaceUpdateParameters

Output

Workspaces_CreateOrUpdate

Creates or updates a workspace with the specified parameters.

azure_machinelearning_workspaces.Workspaces_CreateOrUpdate({
  "api-version": "",
  "subscriptionId": "",
  "resourceGroupName": "",
  "workspaceName": "",
  "parameters": {}
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.
    • workspaceName required string: The name of the machine learning workspace.
    • parameters required Workspace

Output

Workspaces_ListWorkspaceKeys

List the authorization keys associated with this workspace.

azure_machinelearning_workspaces.Workspaces_ListWorkspaceKeys({
  "api-version": "",
  "subscriptionId": "",
  "workspaceName": "",
  "resourceGroupName": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • workspaceName required string: The name of the machine learning workspace.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.

Output

Workspaces_ResyncStorageKeys

Resync storage keys associated with this workspace.

azure_machinelearning_workspaces.Workspaces_ResyncStorageKeys({
  "api-version": "",
  "subscriptionId": "",
  "workspaceName": "",
  "resourceGroupName": ""
}, context)

Input

  • input object
    • api-version required string: The client API version.
    • subscriptionId required string: The Microsoft Azure subscription ID.
    • workspaceName required string: The name of the machine learning workspace.
    • resourceGroupName required string: The name of the resource group to which the machine learning workspace belongs.

Output

Output schema unknown

Definitions

ErrorResponse

  • ErrorResponse object: The error response send when an operation fails.
    • code required string: error code
    • message required string: error message

Operation

  • Operation object: Azure Machine Learning Studio REST API operation
    • display object: Display name of operation
      • description string: The description for the operation.
      • operation string: The operation that users can perform.
      • provider string: The resource provider name: Microsoft.MachineLearning
      • resource string: The resource on which the operation is performed.
    • name string: Operation name: {provider}/{resource}/{operation}

OperationListResult

  • OperationListResult object: An array of operations supported by the resource provider.
    • value array: List of AML Studio operations supported by the AML Studio resource provider.

Resource

  • Resource object: An Azure resource.
    • id string: The resource ID.
    • location required string: The location of the resource. This cannot be changed after the resource is created.
    • name string: The name of the resource.
    • sku Sku
    • tags object: The tags of the resource.
    • type string: The type of the resource.

Sku

  • Sku object: Sku of the resource
    • name string: Name of the sku
    • tier string: Tier of the sku like Basic or Enterprise

Workspace

  • Workspace object: An object that represents a machine learning workspace.
    • properties WorkspaceProperties
    • id string: The resource ID.
    • location required string: The location of the resource. This cannot be changed after the resource is created.
    • name string: The name of the resource.
    • sku Sku
    • tags object: The tags of the resource.
    • type string: The type of the resource.

WorkspaceKeysResponse

  • WorkspaceKeysResponse object: Workspace authorization keys for a workspace.
    • primaryToken string: Primary authorization key for this workspace.
    • secondaryToken string: Secondary authorization key for this workspace.

WorkspaceListResult

  • WorkspaceListResult object: The result of a request to list machine learning workspace keys.
    • nextLink string: The URI that can be used to request the next list of machine learning workspaces.
    • value array: The list of machine learning workspaces. Since this list may be incomplete, the nextLink field should be used to request the next list of machine learning workspaces.

WorkspaceProperties

  • WorkspaceProperties object: The properties of a machine learning workspace.
    • creationTime string: The creation time for this workspace resource.
    • keyVaultIdentifierId string: The key vault identifier used for encrypted workspaces.
    • ownerEmail required string: The email id of the owner for this workspace.
    • studioEndpoint string: The regional endpoint for the machine learning studio service which hosts this workspace.
    • userStorageAccountId required string: The fully qualified arm id of the storage account associated with this workspace.
    • workspaceId string: The immutable id associated with this workspace.
    • workspaceState string (values: Deleted, Enabled, Disabled, Migrated, Updated, Registered, Unregistered): The current state of workspace resource.
    • workspaceType string (values: Production, Free, Anonymous, PaidStandard, PaidPremium): The type of this workspace.

WorkspacePropertiesUpdateParameters

  • WorkspacePropertiesUpdateParameters object: The parameters for updating the properties of a machine learning workspace.
    • keyVaultIdentifierId string: The key vault identifier used for encrypted workspaces.
    • sku Sku
    • workspaceState string (values: Deleted, Enabled, Disabled, Migrated, Updated, Registered, Unregistered): The current state of workspace resource.

WorkspaceUpdateParameters

  • WorkspaceUpdateParameters object: The parameters for updating a machine learning workspace.
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