MachineLearning / Client / delete_tags

delete_tags#

MachineLearning.Client.delete_tags(**kwargs)#

Deletes the specified tags associated with an ML object. After this operation is complete, you can’t recover deleted tags.

If you specify a tag that doesn’t exist, Amazon ML ignores it.

See also: AWS API Documentation

Request Syntax

response = client.delete_tags(
    TagKeys=[
        'string',
    ],
    ResourceId='string',
    ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
)
Parameters:
  • TagKeys (list) –

    [REQUIRED]

    One or more tags to delete.

    • (string) –

  • ResourceId (string) –

    [REQUIRED]

    The ID of the tagged ML object. For example, exampleModelId.

  • ResourceType (string) –

    [REQUIRED]

    The type of the tagged ML object.

Return type:

dict

Returns:

Response Syntax

{
    'ResourceId': 'string',
    'ResourceType': 'BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
}

Response Structure

  • (dict) –

    Amazon ML returns the following elements.

    • ResourceId (string) –

      The ID of the ML object from which tags were deleted.

    • ResourceType (string) –

      The type of the ML object from which tags were deleted.

Exceptions