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[ aws . frauddetector ]

create-model-version

Description

Creates a version of the model using the specified model type and model id.

See also: AWS API Documentation

Synopsis

  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 <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]

Options

--model-id (string)

The model ID.

--model-type (string)

The model type.

Possible values:

  • ONLINE_FRAUD_INSIGHTS
  • TRANSACTION_FRAUD_INSIGHTS
  • ACCOUNT_TAKEOVER_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.

  • Use IGNORE if you want the unlabeled events to be ignored. This is recommended when the majority of the events in the dataset are labeled.
  • Use FRAUD if you want to categorize all unlabeled events as “Fraud”. This is recommended when most of the events in your dataset are fraudulent.
  • Use LEGIT if you want to categorize all unlabeled events as “Legit”. This is recommended when most of the events in your dataset are legitimate.
  • Use AUTO if you want Amazon Fraud Detector to decide how to use the unlabeled data. This is recommended when there is significant unlabeled events in the dataset.

By default, Amazon Fraud Detector ignores the unlabeled data.

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"|"AUTO"
  }
}

--external-events-detail (structure)

Details of the external events data used for model version training. Required if trainingDataSource is EXTERNAL_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 trainingDataSource is INGESTED_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 (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.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

Output

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.