StopProjectVersion - Amazon Rekognition

StopProjectVersion

Stops a running model. The operation might take a while to complete. To check the current status, call DescribeProjectVersions.

Request Syntax

{ "ProjectVersionArn": "string" }

Request Parameters

The request accepts the following data in JSON format.

ProjectVersionArn

The Amazon Resource Name (ARN) of the model version that you want to delete.

This operation requires permissions to perform the rekognition:StopProjectVersion action.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: (^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA-Z0-9_.\-]{1,255}\/version\/[a-zA-Z0-9_.\-]{1,255}\/[0-9]+$)

Required: Yes

Response Syntax

{ "Status": "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.

Status

The current status of the stop operation.

Type: String

Valid Values: TRAINING_IN_PROGRESS | TRAINING_COMPLETED | TRAINING_FAILED | STARTING | RUNNING | FAILED | STOPPING | STOPPED | DELETING

Errors

AccessDeniedException

You are not authorized to perform the action.

HTTP Status Code: 400

InternalServerError

Amazon Rekognition experienced a service issue. Try your call again.

HTTP Status Code: 500

InvalidParameterException

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

HTTP Status Code: 400

ProvisionedThroughputExceededException

The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

HTTP Status Code: 400

ResourceInUseException

The specified resource is already being used.

HTTP Status Code: 400

ResourceNotFoundException

The collection specified in the request cannot be found.

HTTP Status Code: 400

ThrottlingException

Amazon Rekognition is temporarily unable to process the request. Try your call again.

HTTP Status Code: 500

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: