DeleteMLModel - MachineLearning

DeleteMLModel

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

Request Syntax

{ "MLModelId": "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.

MLModelId

A user-supplied ID that uniquely identifies the MLModel.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

Response Syntax

{ "MLModelId": "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.

MLModelId

A user-supplied ID that uniquely identifies the MLModel. This value should be identical to the value of the MLModelID in the request.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Pattern: [a-zA-Z0-9_.-]+

Errors

For information about the errors that are common to all actions, see Common Errors.

InternalServerException

An error on the server occurred when trying to process a request.

HTTP Status Code: 500

InvalidInputException

An error on the client occurred. Typically, the cause is an invalid input value.

HTTP Status Code: 400

ResourceNotFoundException

A specified resource cannot be located.

HTTP Status Code: 400

Examples

The following is a sample request and response of the DeleteMLModel operation:

This example illustrates one usage of DeleteMLModel.

Sample Request

POST / HTTP/1.1 Host: machinelearning.<region>.<domain> x-amz-Date: <Date> Authorization: AWS4-HMAC-SHA256 Credential=<Credential>, SignedHeaders=contenttype;date;host;user-agent;x-amz-date;x-amz-target;x-amzn-requestid,Signature=<Signature> User-Agent: <UserAgentString> Content-Type: application/x-amz-json-1.1 Content-Length: <PayloadSizeBytes> Connection: Keep-Alive X-Amz-Target: AmazonML_20141212.DeleteMLModel {"MLModelId": "exampleMLModelId"}

Sample Response

HTTP/1.1 200 OK x-amzn-RequestId: <RequestId> Content-Type: application/x-amz-json-1.1 Content-Length: <PayloadSizeBytes> Date: <Date> {"MLModelId": "exampleMLModelId"}

See Also

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