CreateModelCardExportJob
Creates an Amazon SageMaker Model Card export job.
Request Syntax
{
"ModelCardExportJobName": "string
",
"ModelCardName": "string
",
"ModelCardVersion": number
,
"OutputConfig": {
"S3OutputPath": "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.
- ModelCardExportJobName
-
The name of the model card export job.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 63.
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$
Required: Yes
- ModelCardName
-
The name or Amazon Resource Name (ARN) of the model card to export.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 256.
Pattern:
(arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model-card/.*)?([a-zA-Z0-9](-*[a-zA-Z0-9]){0,62})
Required: Yes
- ModelCardVersion
-
The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
Type: Integer
Required: No
- OutputConfig
-
The model card output configuration that specifies the Amazon S3 path for exporting.
Type: ModelCardExportOutputConfig object
Required: Yes
Response Syntax
{
"ModelCardExportJobArn": "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.
- ModelCardExportJobArn
-
The Amazon Resource Name (ARN) of the model card export job.
Type: String
Length Constraints: Maximum length of 256.
Pattern:
^arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]{9,16}:[0-9]{12}:model-card/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}/export-job/[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$
Errors
For information about the errors that are common to all actions, see Common Errors.
- ConflictException
-
There was a conflict when you attempted to modify a SageMaker entity such as an
Experiment
orArtifact
.HTTP Status Code: 400
- ResourceLimitExceeded
-
You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
HTTP Status Code: 400
- ResourceNotFound
-
Resource being access is not found.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: