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 theMLModelIDin 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: