MachineLearning / Client / delete_ml_model

delete_ml_model

MachineLearning.Client.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