Amazon Fraud Detector will no longer be open to new customers starting November 7, 2025. If you would like to use Amazon Fraud Detector, sign up prior to that date. For capabilities similar to Amazon Fraud Detector, explore Amazon SageMaker AI, AutoGluon, and AWS WAF.
DescribeModelVersions
Gets all of the model versions for the specified model type or for the specified model type and model ID. You can also get details for a single, specified model version.
Request Syntax
{
"maxResults": number
,
"modelId": "string
",
"modelType": "string
",
"modelVersionNumber": "string
",
"nextToken": "string
"
}
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- maxResults
-
The maximum number of results to return.
Type: Integer
Valid Range: Minimum value of 1. Maximum value of 10.
Required: No
- modelId
-
The model ID.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 64.
Pattern:
^[0-9a-z_]+$
Required: No
- modelType
-
The model type.
Type: String
Valid Values:
ONLINE_FRAUD_INSIGHTS | TRANSACTION_FRAUD_INSIGHTS | ACCOUNT_TAKEOVER_INSIGHTS
Required: No
- modelVersionNumber
-
The model version number.
Type: String
Length Constraints: Minimum length of 3. Maximum length of 7.
Pattern:
^[1-9][0-9]{0,3}\.[0-9]{1,2}$
Required: No
- nextToken
-
The next token from the previous results.
Type: String
Required: No
Response Syntax
{
"modelVersionDetails": [
{
"arn": "string",
"createdTime": "string",
"externalEventsDetail": {
"dataAccessRoleArn": "string",
"dataLocation": "string"
},
"ingestedEventsDetail": {
"ingestedEventsTimeWindow": {
"endTime": "string",
"startTime": "string"
}
},
"lastUpdatedTime": "string",
"modelId": "string",
"modelType": "string",
"modelVersionNumber": "string",
"status": "string",
"trainingDataSchema": {
"labelSchema": {
"labelMapper": {
"string" : [ "string" ]
},
"unlabeledEventsTreatment": "string"
},
"modelVariables": [ "string" ]
},
"trainingDataSource": "string",
"trainingResult": {
"dataValidationMetrics": {
"fieldLevelMessages": [
{
"content": "string",
"fieldName": "string",
"identifier": "string",
"title": "string",
"type": "string"
}
],
"fileLevelMessages": [
{
"content": "string",
"title": "string",
"type": "string"
}
]
},
"trainingMetrics": {
"auc": number,
"metricDataPoints": [
{
"fpr": number,
"precision": number,
"threshold": number,
"tpr": number
}
]
},
"variableImportanceMetrics": {
"logOddsMetrics": [
{
"variableImportance": number,
"variableName": "string",
"variableType": "string"
}
]
}
},
"trainingResultV2": {
"aggregatedVariablesImportanceMetrics": {
"logOddsMetrics": [
{
"aggregatedVariablesImportance": number,
"variableNames": [ "string" ]
}
]
},
"dataValidationMetrics": {
"fieldLevelMessages": [
{
"content": "string",
"fieldName": "string",
"identifier": "string",
"title": "string",
"type": "string"
}
],
"fileLevelMessages": [
{
"content": "string",
"title": "string",
"type": "string"
}
]
},
"trainingMetricsV2": {
"ati": {
"metricDataPoints": [
{
"adr": number,
"atodr": number,
"cr": number,
"threshold": number
}
],
"modelPerformance": {
"asi": number
}
},
"ofi": {
"metricDataPoints": [
{
"fpr": number,
"precision": number,
"threshold": number,
"tpr": number
}
],
"modelPerformance": {
"auc": number,
"uncertaintyRange": {
"lowerBoundValue": number,
"upperBoundValue": number
}
}
},
"tfi": {
"metricDataPoints": [
{
"fpr": number,
"precision": number,
"threshold": number,
"tpr": number
}
],
"modelPerformance": {
"auc": number,
"uncertaintyRange": {
"lowerBoundValue": number,
"upperBoundValue": number
}
}
}
},
"variableImportanceMetrics": {
"logOddsMetrics": [
{
"variableImportance": number,
"variableName": "string",
"variableType": "string"
}
]
}
}
}
],
"nextToken": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- modelVersionDetails
-
The model version details.
Type: Array of ModelVersionDetail objects
- nextToken
-
The next token.
Type: String
Errors
For information about the errors that are common to all actions, see Common Errors.
- AccessDeniedException
-
An exception indicating Amazon Fraud Detector does not have the needed permissions. This can occur if you submit a request, such as
PutExternalModel
, that specifies a role that is not in your account.HTTP Status Code: 400
- InternalServerException
-
An exception indicating an internal server error.
HTTP Status Code: 500
- ResourceNotFoundException
-
An exception indicating the specified resource was not found.
HTTP Status Code: 400
- ThrottlingException
-
An exception indicating a throttling error.
HTTP Status Code: 400
- ValidationException
-
An exception indicating a specified value is not allowed.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: