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AzureMLServiceLinkedService Class

  • Reference

Azure ML Service linked service.

All required parameters must be populated in order to send to server.

Inheritance
azure.mgmt.datafactory.models._models_py3.LinkedService
AzureMLServiceLinkedService

Constructor

AzureMLServiceLinkedService(*, subscription_id: MutableMapping[str, Any], resource_group_name: MutableMapping[str, Any], ml_workspace_name: MutableMapping[str, Any], additional_properties: Dict[str, MutableMapping[str, Any]] | None = None, version: str | None = None, connect_via: _models.IntegrationRuntimeReference | None = None, description: str | None = None, parameters: Dict[str, _models.ParameterSpecification] | None = None, annotations: List[MutableMapping[str, Any]] | None = None, authentication: MutableMapping[str, Any] | None = None, service_principal_id: MutableMapping[str, Any] | None = None, service_principal_key: _models.SecretBase | None = None, tenant: MutableMapping[str, Any] | None = None, encrypted_credential: str | None = None, **kwargs: Any)

Keyword-Only Parameters

Name Description
additional_properties
dict[str, <xref:JSON>]

Unmatched properties from the message are deserialized to this collection.
version
str

Version of the linked service.
connect_via
IntegrationRuntimeReference

The integration runtime reference.
description
str

Linked service description.
parameters
dict[str, ParameterSpecification]

Parameters for linked service.
annotations
list[<xref:JSON>]

List of tags that can be used for describing the linked service.
subscription_id
<xref:JSON>

Azure ML Service workspace subscription ID. Type: string (or Expression with resultType string). Required.
resource_group_name
<xref:JSON>

Azure ML Service workspace resource group name. Type: string (or Expression with resultType string). Required.
ml_workspace_name
<xref:JSON>

Azure ML Service workspace name. Type: string (or Expression with resultType string). Required.
authentication
<xref:JSON>

Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).
service_principal_id
<xref:JSON>

The ID of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline. Type: string (or Expression with resultType string).
service_principal_key
SecretBase

The key of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline.
tenant
<xref:JSON>

The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).
encrypted_credential
str

The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string.

Variables

Name Description
additional_properties
dict[str, <xref:JSON>]

Unmatched properties from the message are deserialized to this collection.
type
str

Type of linked service. Required.
version
str

Version of the linked service.
connect_via
IntegrationRuntimeReference

The integration runtime reference.
description
str

Linked service description.
parameters
dict[str, ParameterSpecification]

Parameters for linked service.
annotations
list[<xref:JSON>]

List of tags that can be used for describing the linked service.
subscription_id
<xref:JSON>

Azure ML Service workspace subscription ID. Type: string (or Expression with resultType string). Required.
resource_group_name
<xref:JSON>

Azure ML Service workspace resource group name. Type: string (or Expression with resultType string). Required.
ml_workspace_name
<xref:JSON>

Azure ML Service workspace name. Type: string (or Expression with resultType string). Required.
authentication
<xref:JSON>

Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).
service_principal_id
<xref:JSON>

The ID of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline. Type: string (or Expression with resultType string).
service_principal_key
SecretBase

The key of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline.
tenant
<xref:JSON>

The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).
encrypted_credential
str

The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string.