[ aws . frauddetector ]
Creates a version of the model using the specified model type and model id.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
create-model-version
--model-id <value>
--model-type <value>
--training-data-source <value>
--training-data-schema <value>
[--external-events-detail <value>]
[--ingested-events-detail <value>]
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--model-id (string)
The model ID.
--model-type (string)
The model type.
Possible values:
ONLINE_FRAUD_INSIGHTS
TRANSACTION_FRAUD_INSIGHTS
--training-data-source (string)
The training data source location in Amazon S3.
Possible values:
EXTERNAL_EVENTS
INGESTED_EVENTS
--training-data-schema (structure)
The training data schema.
modelVariables -> (list)
The training data schema variables.
(string)
labelSchema -> (structure)
The label schema.
labelMapper -> (map)
The label mapper maps the Amazon Fraud Detector supported model classification labels (
FRAUD,LEGIT) to the appropriate event type labels. For example, if “FRAUD” and “LEGIT” are Amazon Fraud Detector supported labels, this mapper could be:{"FRAUD" => ["0"],"LEGIT" => ["1"]}or{"FRAUD" => ["false"],"LEGIT" => ["true"]}or{"FRAUD" => ["fraud", "abuse"],"LEGIT" => ["legit", "safe"]}. The value part of the mapper is a list, because you may have multiple label variants from your event type for a single Amazon Fraud Detector label.key -> (string)
value -> (list)
(string)
unlabeledEventsTreatment -> (string)
The action to take for unlabeled events.
Shorthand Syntax:
modelVariables=string,string,labelSchema={labelMapper={KeyName1=[string,string],KeyName2=[string,string]},unlabeledEventsTreatment=string}
JSON Syntax:
{
"modelVariables": ["string", ...],
"labelSchema": {
"labelMapper": {"string": ["string", ...]
...},
"unlabeledEventsTreatment": "IGNORE"|"FRAUD"|"LEGIT"
}
}
--external-events-detail (structure)
Details of the external events data used for model version training. Required if
trainingDataSourceisEXTERNAL_EVENTS.dataLocation -> (string)
The Amazon S3 bucket location for the data.
dataAccessRoleArn -> (string)
The ARN of the role that provides Amazon Fraud Detector access to the data location.
Shorthand Syntax:
dataLocation=string,dataAccessRoleArn=string
JSON Syntax:
{
"dataLocation": "string",
"dataAccessRoleArn": "string"
}
--ingested-events-detail (structure)
Details of the ingested events data used for model version training. Required if
trainingDataSourceisINGESTED_EVENTS.ingestedEventsTimeWindow -> (structure)
The start and stop time of the ingested events.
startTime -> (string)
Timestamp of the first ingensted event.
endTime -> (string)
Timestamp of the final ingested event.
Shorthand Syntax:
ingestedEventsTimeWindow={startTime=string,endTime=string}
JSON Syntax:
{
"ingestedEventsTimeWindow": {
"startTime": "string",
"endTime": "string"
}
}
--tags (list)
A collection of key and value pairs.
(structure)
A key and value pair.
key -> (string)
A tag key.
value -> (string)
A value assigned to a tag key.
Shorthand Syntax:
key=string,value=string ...
JSON Syntax:
[
{
"key": "string",
"value": "string"
}
...
]
--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.
modelId -> (string)
The model ID.
modelType -> (string)
The model type.
modelVersionNumber -> (string)
The model version number of the model version created.
status -> (string)
The model version status.