Amazon Fraud Detector

2020/07/24 - Amazon Fraud Detector - 2 updated api methods

Changes  Update frauddetector client to latest version

GetExternalModels (updated) Link ¶
Changes (response)
{'externalModels': {'invokeModelEndpointRoleArn': 'string'}}

Gets the details for one or more Amazon SageMaker models that have been imported into the service. This is a paginated API. If you provide a null maxResults, this actions retrieves a maximum of 10 records per page. If you provide a maxResults, the value must be between 5 and 10. To get the next page results, provide the pagination token from the GetExternalModelsResult as part of your request. A null pagination token fetches the records from the beginning.

See also: AWS API Documentation

Request Syntax

client.get_external_models(
    modelEndpoint='string',
    nextToken='string',
    maxResults=123
)
type modelEndpoint:

string

param modelEndpoint:

The Amazon SageMaker model endpoint.

type nextToken:

string

param nextToken:

The next page token for the request.

type maxResults:

integer

param maxResults:

The maximum number of objects to return for the request.

rtype:

dict

returns:

Response Syntax

{
    'externalModels': [
        {
            'modelEndpoint': 'string',
            'eventTypeName': 'string',
            'modelSource': 'SAGEMAKER',
            'invokeModelEndpointRoleArn': 'string',
            'inputConfiguration': {
                'format': 'TEXT_CSV'|'APPLICATION_JSON',
                'useEventVariables': True|False,
                'jsonInputTemplate': 'string',
                'csvInputTemplate': 'string'
            },
            'outputConfiguration': {
                'format': 'TEXT_CSV'|'APPLICATION_JSONLINES',
                'jsonKeyToVariableMap': {
                    'string': 'string'
                },
                'csvIndexToVariableMap': {
                    'string': 'string'
                }
            },
            'modelEndpointStatus': 'ASSOCIATED'|'DISSOCIATED',
            'lastUpdatedTime': 'string',
            'createdTime': 'string',
            'arn': 'string'
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) --

    • externalModels (list) --

      Gets the Amazon SageMaker models.

      • (dict) --

        The Amazon SageMaker model.

        • modelEndpoint (string) --

          The Amazon SageMaker model endpoints.

        • eventTypeName (string) --

          The event type names.

        • modelSource (string) --

          The source of the model.

        • invokeModelEndpointRoleArn (string) --

          The role used to invoke the model.

        • inputConfiguration (dict) --

          The input configuration.

          • format (string) --

            The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

          • useEventVariables (boolean) --

            The event variables.

          • jsonInputTemplate (string) --

            Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

          • csvInputTemplate (string) --

            Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

        • outputConfiguration (dict) --

          The output configuration.

          • format (string) --

            The format of the model output configuration.

          • jsonKeyToVariableMap (dict) --

            A map of JSON keys in response from SageMaker to the Amazon Fraud Detector variables.

            • (string) --

              • (string) --

          • csvIndexToVariableMap (dict) --

            A map of CSV index values in the SageMaker response to the Amazon Fraud Detector variables.

            • (string) --

              • (string) --

        • modelEndpointStatus (string) --

          The Amazon Fraud Detector status for the external model endpoint

        • lastUpdatedTime (string) --

          Timestamp of when the model was last updated.

        • createdTime (string) --

          Timestamp of when the model was last created.

        • arn (string) --

          The model ARN.

    • nextToken (string) --

      The next page token to be used in subsequent requests.

PutExternalModel (updated) Link ¶
Changes (request)
{'invokeModelEndpointRoleArn': 'string'}

Creates or updates an Amazon SageMaker model endpoint. You can also use this action to update the configuration of the model endpoint, including the IAM role and/or the mapped variables.

See also: AWS API Documentation

Request Syntax

client.put_external_model(
    modelEndpoint='string',
    eventTypeName='string',
    modelSource='SAGEMAKER',
    invokeModelEndpointRoleArn='string',
    inputConfiguration={
        'format': 'TEXT_CSV'|'APPLICATION_JSON',
        'useEventVariables': True|False,
        'jsonInputTemplate': 'string',
        'csvInputTemplate': 'string'
    },
    outputConfiguration={
        'format': 'TEXT_CSV'|'APPLICATION_JSONLINES',
        'jsonKeyToVariableMap': {
            'string': 'string'
        },
        'csvIndexToVariableMap': {
            'string': 'string'
        }
    },
    modelEndpointStatus='ASSOCIATED'|'DISSOCIATED',
    tags=[
        {
            'key': 'string',
            'value': 'string'
        },
    ]
)
type modelEndpoint:

string

param modelEndpoint:

[REQUIRED]

The model endpoints name.

type eventTypeName:

string

param eventTypeName:

The event type name.

type modelSource:

string

param modelSource:

[REQUIRED]

The source of the model.

type invokeModelEndpointRoleArn:

string

param invokeModelEndpointRoleArn:

[REQUIRED]

The IAM role used to invoke the model endpoint.

type inputConfiguration:

dict

param inputConfiguration:

[REQUIRED]

The model endpoint input configuration.

  • format (string) --

    The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

  • useEventVariables (boolean) -- [REQUIRED]

    The event variables.

  • jsonInputTemplate (string) --

    Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

  • csvInputTemplate (string) --

    Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

type outputConfiguration:

dict

param outputConfiguration:

[REQUIRED]

The model endpoint output configuration.

  • format (string) -- [REQUIRED]

    The format of the model output configuration.

  • jsonKeyToVariableMap (dict) --

    A map of JSON keys in response from SageMaker to the Amazon Fraud Detector variables.

    • (string) --

      • (string) --

  • csvIndexToVariableMap (dict) --

    A map of CSV index values in the SageMaker response to the Amazon Fraud Detector variables.

    • (string) --

      • (string) --

type modelEndpointStatus:

string

param modelEndpointStatus:

[REQUIRED]

The model endpoint’s status in Amazon Fraud Detector.

type tags:

list

param tags:

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.

rtype:

dict

returns:

Response Syntax

{}

Response Structure

  • (dict) --