MachineLearning / Client / add_tags
add_tags#
- MachineLearning.Client.add_tags(**kwargs)#
Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object,
AddTags
updates the tag’s value.See also: AWS API Documentation
Request Syntax
response = client.add_tags( Tags=[ { 'Key': 'string', 'Value': 'string' }, ], ResourceId='string', ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel' )
- Parameters:
Tags (list) –
[REQUIRED]
The key-value pairs to use to create tags. If you specify a key without specifying a value, Amazon ML creates a tag with the specified key and a value of null.
(dict) –
A custom key-value pair associated with an ML object, such as an ML model.
Key (string) –
A unique identifier for the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
Value (string) –
An optional string, typically used to describe or define the tag. Valid characters include Unicode letters, digits, white space, _, ., /, =, +, -, %, and @.
ResourceId (string) –
[REQUIRED]
The ID of the ML object to tag. For example,
exampleModelId
.ResourceType (string) –
[REQUIRED]
The type of the ML object to tag.
- 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 that was tagged.
ResourceType (string) –
The type of the ML object that was tagged.
Exceptions
MachineLearning.Client.exceptions.InvalidInputException
MachineLearning.Client.exceptions.InvalidTagException
MachineLearning.Client.exceptions.TagLimitExceededException
MachineLearning.Client.exceptions.ResourceNotFoundException
MachineLearning.Client.exceptions.InternalServerException