FraudDetector / Client / put_label

put_label#

FraudDetector.Client.put_label(**kwargs)#

Creates or updates label. A label classifies an event as fraudulent or legitimate. Labels are associated with event types and used to train supervised machine learning models in Amazon Fraud Detector.

See also: AWS API Documentation

Request Syntax

response = client.put_label(
    name='string',
    description='string',
    tags=[
        {
            'key': 'string',
            'value': 'string'
        },
    ]
)
Parameters:

  • name (string) –

    [REQUIRED]

    The label name.

  • description (string) – The label description.

  • tags (list) –

    A collection of key and value pairs.

    • (dict) –

      A key and value pair.

      • key (string) – [REQUIRED]

        A tag key.

      • value (string) – [REQUIRED]

        A value assigned to a tag key.

Return type:

dict

Returns:

Response Syntax

{}

Response Structure

  • (dict) –

Exceptions

  • FraudDetector.Client.exceptions.ValidationException

  • FraudDetector.Client.exceptions.InternalServerException

  • FraudDetector.Client.exceptions.ThrottlingException

  • FraudDetector.Client.exceptions.AccessDeniedException

  • FraudDetector.Client.exceptions.ConflictException