[ aws . frauddetector ]
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
See ‘aws help’ for descriptions of global parameters.
get-external-models
[--model-endpoint <value>]
[--next-token <value>]
[--max-results <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--model-endpoint
(string)
The Amazon SageMaker model endpoint.
--next-token
(string)
The next page token for the request.
--max-results
(integer)
The maximum number of objects to return for the request.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.
externalModels -> (list)
Gets the Amazon SageMaker models.
(structure)
The Amazon SageMaker model.
modelEndpoint -> (string)
The Amazon SageMaker model endpoints.
modelSource -> (string)
The source of the model.
invokeModelEndpointRoleArn -> (string)
The role used to invoke the model.
inputConfiguration -> (structure)
The input configuration.
eventTypeName -> (string)
The event type name.
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 -> (structure)
The output configuration.
format -> (string)
The format of the model output configuration.
jsonKeyToVariableMap -> (map)
A map of JSON keys in response from SageMaker to the Amazon Fraud Detector variables.
key -> (string)
value -> (string)
csvIndexToVariableMap -> (map)
A map of CSV index values in the SageMaker response to the Amazon Fraud Detector variables.
key -> (string)
value -> (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.