describe_tags

MachineLearning.Client.describe_tags(**kwargs)

Describes one or more of the tags for your Amazon ML object.

See also: AWS API Documentation

Request Syntax

response = client.describe_tags(
    ResourceId='string',
    ResourceType='BatchPrediction'|'DataSource'|'Evaluation'|'MLModel'
)

Parameters

• ResourceId (string) --

  [REQUIRED]

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

• ResourceType (string) --

  [REQUIRED]

  The type of the ML object.

Return type

dict

Returns

Response Syntax

{
    'ResourceId': 'string',
    'ResourceType': 'BatchPrediction'|'DataSource'|'Evaluation'|'MLModel',
    'Tags': [
        {
            'Key': 'string',
            'Value': 'string'
        },
    ]
}

Response Structure

• (dict) --

  Amazon ML returns the following elements.

  • ResourceId (string) --

    The ID of the tagged ML object.

  • ResourceType (string) --

    The type of the tagged ML object.

  • Tags (list) --

    A list of tags associated with the ML object.

    • (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 @.

Exceptions

• MachineLearning.Client.exceptions.InvalidInputException
• MachineLearning.Client.exceptions.ResourceNotFoundException
• MachineLearning.Client.exceptions.InternalServerException