Machine Learning Connection Profiles
The following topics describe the connection profile parameters for Machine Learning platforms and services:
AWS SageMaker Connection Profile Parameters
The following table describes the AWS SageMaker connection profile parameters.
Parameter |
Description |
---|---|
SageMaker URL |
Defines the AWS SageMaker API authentication endpoint. Format: https://sagemaker.<region name>.amazonaws.com https://sagemaker.us-east-1.amazonaws.com |
AWS Region |
Determines the region where the AWS SageMaker jobs are located. us-east-1 |
Authentication |
Determines one of the following authentication methods:
|
AWS Access Key |
Defines the AWS SageMaker account access key. |
AWS Secret |
Defines the AWS SageMaker account secret access key. |
IAM Role |
Defines the Identity and Access Management (IAM) role for the AWS SageMaker connection. |
Connection Timeout |
Determines the number of seconds to wait after Control-M initiates a connection request to AWS SageMaker before a timeout occurs. Default: 30 |
Azure Machine Learning Connection Profile Parameters
The following table describes the Azure Machine Learning connection profile parameters.
Parameter |
Description |
---|---|
Azure Login URL |
(Service Principal) Defines the Azure Active Directory (AD) API authentication endpoint. Default: https://login.microsoftonline.com |
Azure Management URL |
Defines the Azure Management URL, which is used to get the token for a service principal authentication and to perform API calls. Default: https://management.azure.com/Azure |
Azure ML URL |
Defines the authentication endpoint base URL for Azure Machine Learning, which is used to perform API calls, and which is based on the following format: https://<Location_Name>.api.azureml.ms/ https://eastus.api.azureml.ms/ |
Location Name |
Determines the region where the Azure Machine Learning jobs are located. eastus |
Subscription ID |
Determines the Azure account subscription ID, which can be retrieved from the Azure portal. |
Authentication Method |
Determines one of the following identity types to connect to Azure Machine Learning:
|
Specify Managed Identity Client ID |
(Managed Identity) Determines whether the client ID for your managed identity is specified by the Managed Identity Client ID parameter. Use this option if you are using the Managed Identity authentication method and you have multiple managed identities defined on your Azure virtual machine. |
Managed Identity Client ID |
(Managed Identity) Determines which client ID to use as the managed identity. This parameter requires a value only if you have multiple managed identities defined on your Azure virtual machine and you selected the Specify Managed Identity Client ID checkbox. If you have only one managed identity, it is detected automatically. |
Tenant ID |
(Service Principal) Defines the ID where the Azure Machine Learning is created. |
Application ID |
(Service Principal) Defines the Azure identity of a Service Principal that is granted access to interact with Azure Machine Learning. |
Client Secret |
(Service Principal) Defines the password of the Service Principal. |
Connection Timeout |
Determines the number of seconds to wait after Control-M initiates a connection request to Azure Machine Learning before a timeout occurs. Default: 50 |