Amazonka.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.

Creating a Request

data DeleteMLModel

See: newDeleteMLModel smart constructor.

Constructors

DeleteMLModel'

Fields

• mLModelId :: Text

  A user-supplied ID that uniquely identifies the MLModel.

Instances

ToJSON DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

toJSON :: DeleteMLModel -> Value

toEncoding :: DeleteMLModel -> Encoding

toJSONList :: [DeleteMLModel] -> Value

toEncodingList :: [DeleteMLModel] -> Encoding

ToHeaders DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

toHeaders :: DeleteMLModel -> [Header]

ToPath DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

toPath :: DeleteMLModel -> ByteString

ToQuery DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

toQuery :: DeleteMLModel -> QueryString

AWSRequest DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Associated Types

type AWSResponse DeleteMLModel

Methods

request :: (Service -> Service) -> DeleteMLModel -> Request DeleteMLModel

response :: MonadResource m => (ByteStringLazy -> IO ByteStringLazy) -> Service -> Proxy DeleteMLModel -> ClientResponse ClientBody -> m (Either Error (ClientResponse (AWSResponse DeleteMLModel)))

Generic DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Associated Types

type Rep DeleteMLModel :: Type -> Type

Methods

from :: DeleteMLModel -> Rep DeleteMLModel x

to :: Rep DeleteMLModel x -> DeleteMLModel

Read DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

readsPrec :: Int -> ReadS DeleteMLModel

readList :: ReadS [DeleteMLModel]

readPrec :: ReadPrec DeleteMLModel

readListPrec :: ReadPrec [DeleteMLModel]

Show DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

showsPrec :: Int -> DeleteMLModel -> ShowS

show :: DeleteMLModel -> String

showList :: [DeleteMLModel] -> ShowS

NFData DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

rnf :: DeleteMLModel -> ()

Eq DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

(==) :: DeleteMLModel -> DeleteMLModel -> Bool

(/=) :: DeleteMLModel -> DeleteMLModel -> Bool

Hashable DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

hashWithSalt :: Int -> DeleteMLModel -> Int

hash :: DeleteMLModel -> Int

type AWSResponse DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

type AWSResponse DeleteMLModel = DeleteMLModelResponse

type Rep DeleteMLModel

Defined in Amazonka.MachineLearning.DeleteMLModel

type Rep DeleteMLModel = D1 ('MetaData "DeleteMLModel" "Amazonka.MachineLearning.DeleteMLModel" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "DeleteMLModel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mLModelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDeleteMLModel

Arguments

:: Text

DeleteMLModel

-> DeleteMLModel

Create a value of DeleteMLModel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

DeleteMLModel, deleteMLModel_mLModelId - A user-supplied ID that uniquely identifies the MLModel.

Request Lenses

deleteMLModel_mLModelId :: Lens' DeleteMLModel Text

A user-supplied ID that uniquely identifies the MLModel.

Destructuring the Response

data DeleteMLModelResponse

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.

See: newDeleteMLModelResponse smart constructor.

Constructors

DeleteMLModelResponse'

Fields

• mLModelId :: Maybe Text

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

• httpStatus :: Int

  The response's http status code.

Instances

Generic DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

Associated Types

type Rep DeleteMLModelResponse :: Type -> Type

Methods

from :: DeleteMLModelResponse -> Rep DeleteMLModelResponse x

to :: Rep DeleteMLModelResponse x -> DeleteMLModelResponse

Read DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

readsPrec :: Int -> ReadS DeleteMLModelResponse

readList :: ReadS [DeleteMLModelResponse]

readPrec :: ReadPrec DeleteMLModelResponse

readListPrec :: ReadPrec [DeleteMLModelResponse]

Show DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

showsPrec :: Int -> DeleteMLModelResponse -> ShowS

show :: DeleteMLModelResponse -> String

showList :: [DeleteMLModelResponse] -> ShowS

NFData DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

rnf :: DeleteMLModelResponse -> ()

Eq DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

Methods

(==) :: DeleteMLModelResponse -> DeleteMLModelResponse -> Bool

(/=) :: DeleteMLModelResponse -> DeleteMLModelResponse -> Bool

type Rep DeleteMLModelResponse

Defined in Amazonka.MachineLearning.DeleteMLModel

type Rep DeleteMLModelResponse = D1 ('MetaData "DeleteMLModelResponse" "Amazonka.MachineLearning.DeleteMLModel" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "DeleteMLModelResponse'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mLModelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "httpStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newDeleteMLModelResponse

Arguments

:: Int

$sel:httpStatus:DeleteMLModelResponse'

-> DeleteMLModelResponse

Create a value of DeleteMLModelResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

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

$sel:httpStatus:DeleteMLModelResponse', deleteMLModelResponse_httpStatus - The response's http status code.

Response Lenses

deleteMLModelResponse_mLModelId :: Lens' DeleteMLModelResponse (Maybe Text)

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

deleteMLModelResponse_httpStatus :: Lens' DeleteMLModelResponse Int

The response's http status code.