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