MachineLearning / Client / delete_data_source

delete_data_source#

MachineLearning.Client.delete_data_source(**kwargs)#

Assigns the DELETED status to a DataSource , rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

See also: AWS API Documentation

Request Syntax

response = client.delete_data_source(
    DataSourceId='string'
)
Parameters:

DataSourceId (string) –

[REQUIRED]

A user-supplied ID that uniquely identifies the DataSource .

Return type:

dict

Returns:

Response Syntax

{
    'DataSourceId': 'string'
}

Response Structure

  • (dict) –

    Represents the output of a DeleteDataSource operation.

    • DataSourceId (string) –

      A user-supplied ID that uniquely identifies the DataSource . This value should be identical to the value of the DataSourceID in the request.

Exceptions

  • MachineLearning.Client.exceptions.InvalidInputException

  • MachineLearning.Client.exceptions.ResourceNotFoundException

  • MachineLearning.Client.exceptions.InternalServerException