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) –

  • (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