aws frauddetector put-external-model

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


--model-endpoint <string>The model endpoints name
--model-source <string>The source of the model
--invoke-model-endpoint-role-arn <string>The IAM role used to invoke the model endpoint
--input-configuration <structure>The model endpoint input configuration
--output-configuration <structure>The model endpoint output configuration
--model-endpoint-status <string>The model endpoint’s status in Amazon Fraud Detector
--tags <list>A collection of key and value pairs
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI 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
--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``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command