delete_ml_model

delete_ml_model(**kwargs)

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.

See also: AWS API Documentation

Request Syntax

response = client.delete_ml_model(
    MLModelId='string'
)

Parameters

MLModelId (string) --

[REQUIRED]

A user-supplied ID that uniquely identifies the MLModel .

Return type

dict

Returns

Response Syntax

{
    'MLModelId': 'string'
}

Response Structure

• (dict) --

  Represents the output of a DeleteMLModel operation.

  You can use the GetMLModel operation and check the value of the Status parameter to see whether an MLModel is marked as DELETED .

  • MLModelId (string) --

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

Exceptions

• MachineLearning.Client.exceptions.InvalidInputException
• MachineLearning.Client.exceptions.ResourceNotFoundException
• MachineLearning.Client.exceptions.InternalServerException