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
MachineLearning.Client.exceptions.InvalidInputException
MachineLearning.Client.exceptions.InvalidTagException
MachineLearning.Client.exceptions.ResourceNotFoundException
MachineLearning.Client.exceptions.InternalServerException