Class AzureMLLinkedService
java.lang.Object
com.azure.resourcemanager.datafactory.models.LinkedService
com.azure.resourcemanager.datafactory.models.AzureMLLinkedService
Azure ML Studio Web Service linked service.
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionapiKey()
Get the apiKey property: The API key for accessing the Azure ML model endpoint.Get the authentication property: Type of authentication (Required to specify MSI) used to connect to AzureML.Get the encryptedCredential property: The encrypted credential used for authentication.Get the mlEndpoint property: The Batch Execution REST URL for an Azure ML Studio Web Service endpoint.Get the servicePrincipalId property: The ID of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.Get the servicePrincipalKey property: The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.tenant()
Get the tenant property: The name or ID of the tenant to which the service principal belongs.Get the updateResourceEndpoint property: The Update Resource REST URL for an Azure ML Studio Web Service endpoint.void
validate()
Validates the instance.withAnnotations
(List<Object> annotations) Set the annotations property: List of tags that can be used for describing the linked service.withApiKey
(SecretBase apiKey) Set the apiKey property: The API key for accessing the Azure ML model endpoint.withAuthentication
(Object authentication) Set the authentication property: Type of authentication (Required to specify MSI) used to connect to AzureML.withConnectVia
(IntegrationRuntimeReference connectVia) Set the connectVia property: The integration runtime reference.withDescription
(String description) Set the description property: Linked service description.withEncryptedCredential
(Object encryptedCredential) Set the encryptedCredential property: The encrypted credential used for authentication.withMlEndpoint
(Object mlEndpoint) Set the mlEndpoint property: The Batch Execution REST URL for an Azure ML Studio Web Service endpoint.withParameters
(Map<String, ParameterSpecification> parameters) Set the parameters property: Parameters for linked service.withServicePrincipalId
(Object servicePrincipalId) Set the servicePrincipalId property: The ID of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.withServicePrincipalKey
(SecretBase servicePrincipalKey) Set the servicePrincipalKey property: The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.withTenant
(Object tenant) Set the tenant property: The name or ID of the tenant to which the service principal belongs.withUpdateResourceEndpoint
(Object updateResourceEndpoint) Set the updateResourceEndpoint property: The Update Resource REST URL for an Azure ML Studio Web Service endpoint.Methods inherited from class com.azure.resourcemanager.datafactory.models.LinkedService
additionalProperties, annotations, connectVia, description, parameters, withAdditionalProperties
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Constructor Details
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AzureMLLinkedService
public AzureMLLinkedService()Creates an instance of AzureMLLinkedService class.
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Method Details
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withConnectVia
Set the connectVia property: The integration runtime reference.- Overrides:
withConnectVia
in classLinkedService
- Parameters:
connectVia
- the connectVia value to set.- Returns:
- the LinkedService object itself.
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withDescription
Set the description property: Linked service description.- Overrides:
withDescription
in classLinkedService
- Parameters:
description
- the description value to set.- Returns:
- the LinkedService object itself.
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withParameters
Set the parameters property: Parameters for linked service.- Overrides:
withParameters
in classLinkedService
- Parameters:
parameters
- the parameters value to set.- Returns:
- the LinkedService object itself.
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withAnnotations
Set the annotations property: List of tags that can be used for describing the linked service.- Overrides:
withAnnotations
in classLinkedService
- Parameters:
annotations
- the annotations value to set.- Returns:
- the LinkedService object itself.
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mlEndpoint
Get the mlEndpoint property: The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).- Returns:
- the mlEndpoint value.
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withMlEndpoint
Set the mlEndpoint property: The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).- Parameters:
mlEndpoint
- the mlEndpoint value to set.- Returns:
- the AzureMLLinkedService object itself.
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apiKey
Get the apiKey property: The API key for accessing the Azure ML model endpoint.- Returns:
- the apiKey value.
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withApiKey
Set the apiKey property: The API key for accessing the Azure ML model endpoint.- Parameters:
apiKey
- the apiKey value to set.- Returns:
- the AzureMLLinkedService object itself.
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updateResourceEndpoint
Get the updateResourceEndpoint property: The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).- Returns:
- the updateResourceEndpoint value.
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withUpdateResourceEndpoint
Set the updateResourceEndpoint property: The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).- Parameters:
updateResourceEndpoint
- the updateResourceEndpoint value to set.- Returns:
- the AzureMLLinkedService object itself.
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servicePrincipalId
Get the servicePrincipalId property: The ID of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service. Type: string (or Expression with resultType string).- Returns:
- the servicePrincipalId value.
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withServicePrincipalId
Set the servicePrincipalId property: The ID of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service. Type: string (or Expression with resultType string).- Parameters:
servicePrincipalId
- the servicePrincipalId value to set.- Returns:
- the AzureMLLinkedService object itself.
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servicePrincipalKey
Get the servicePrincipalKey property: The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.- Returns:
- the servicePrincipalKey value.
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withServicePrincipalKey
Set the servicePrincipalKey property: The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.- Parameters:
servicePrincipalKey
- the servicePrincipalKey value to set.- Returns:
- the AzureMLLinkedService object itself.
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tenant
Get the tenant property: The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).- Returns:
- the tenant value.
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withTenant
Set the tenant property: The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).- Parameters:
tenant
- the tenant value to set.- Returns:
- the AzureMLLinkedService object itself.
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encryptedCredential
Get the encryptedCredential property: The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string (or Expression with resultType string).- Returns:
- the encryptedCredential value.
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withEncryptedCredential
Set the encryptedCredential property: The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string (or Expression with resultType string).- Parameters:
encryptedCredential
- the encryptedCredential value to set.- Returns:
- the AzureMLLinkedService object itself.
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authentication
Get the authentication property: Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).- Returns:
- the authentication value.
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withAuthentication
Set the authentication property: Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).- Parameters:
authentication
- the authentication value to set.- Returns:
- the AzureMLLinkedService object itself.
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validate
public void validate()Validates the instance.- Overrides:
validate
in classLinkedService
- Throws:
IllegalArgumentException
- thrown if the instance is not valid.
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