Copyright	(c) 2013-2018 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None
Language	Haskell2010

Network.AWS.MachineLearning.DeleteEvaluation

Contents

Creating a Request
Request Lenses
Destructuring the Response
Response Lenses

Description

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

After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation to verify that the status of the Evaluation changed to DELETED .

__Caution The results of the DeleteEvaluation operation are irreversible.

__

Creating a Request

deleteEvaluation #

Arguments

:: Text	`deEvaluationId`
-> DeleteEvaluation

Creates a value of DeleteEvaluation with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

deEvaluationId - A user-supplied ID that uniquely identifies the Evaluation to delete.

data DeleteEvaluation #

See: deleteEvaluation smart constructor.

Instances

Eq DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods (==) :: DeleteEvaluation -> DeleteEvaluation -> Bool # (/=) :: DeleteEvaluation -> DeleteEvaluation -> Bool #
Data DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> DeleteEvaluation -> c DeleteEvaluation # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c DeleteEvaluation # toConstr :: DeleteEvaluation -> Constr # dataTypeOf :: DeleteEvaluation -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c DeleteEvaluation) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c DeleteEvaluation) # gmapT :: (forall b. Data b => b -> b) -> DeleteEvaluation -> DeleteEvaluation # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> DeleteEvaluation -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> DeleteEvaluation -> r # gmapQ :: (forall d. Data d => d -> u) -> DeleteEvaluation -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> DeleteEvaluation -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> DeleteEvaluation -> m DeleteEvaluation # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> DeleteEvaluation -> m DeleteEvaluation # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> DeleteEvaluation -> m DeleteEvaluation #
Read DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods readsPrec :: Int -> ReadS DeleteEvaluation # readList :: ReadS [DeleteEvaluation] # readPrec :: ReadPrec DeleteEvaluation # readListPrec :: ReadPrec [DeleteEvaluation] #
Show DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods showsPrec :: Int -> DeleteEvaluation -> ShowS # show :: DeleteEvaluation -> String # showList :: [DeleteEvaluation] -> ShowS #
Generic DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Associated Types type Rep DeleteEvaluation :: * -> * # Methods from :: DeleteEvaluation -> Rep DeleteEvaluation x # to :: Rep DeleteEvaluation x -> DeleteEvaluation #
Hashable DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods hashWithSalt :: Int -> DeleteEvaluation -> Int # hash :: DeleteEvaluation -> Int #
ToJSON DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods toJSON :: DeleteEvaluation -> Value # toEncoding :: DeleteEvaluation -> Encoding # toJSONList :: [DeleteEvaluation] -> Value # toEncodingList :: [DeleteEvaluation] -> Encoding #
AWSRequest DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Associated Types type Rs DeleteEvaluation :: * # Methods request :: DeleteEvaluation -> Request DeleteEvaluation # response :: (MonadResource m, MonadThrow m) => Logger -> Service -> Proxy DeleteEvaluation -> ClientResponse -> m (Response DeleteEvaluation) #
ToHeaders DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods toHeaders :: DeleteEvaluation -> [Header] #
ToPath DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods toPath :: DeleteEvaluation -> ByteString #
ToQuery DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods toQuery :: DeleteEvaluation -> QueryString #
NFData DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods rnf :: DeleteEvaluation -> () #
type Rep DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation type Rep DeleteEvaluation = D1 (MetaData "DeleteEvaluation" "Network.AWS.MachineLearning.DeleteEvaluation" "amazonka-ml-1.6.0-1P3zVrakzeC6pQua2SKozx" True) (C1 (MetaCons "DeleteEvaluation'" PrefixI True) (S1 (MetaSel (Just "_deEvaluationId") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Text)))
type Rs DeleteEvaluation #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation type Rs DeleteEvaluation = DeleteEvaluationResponse

Request Lenses

deEvaluationId :: Lens' DeleteEvaluation Text #

A user-supplied ID that uniquely identifies the Evaluation to delete.

Destructuring the Response

deleteEvaluationResponse #

Arguments

:: Int	`dersResponseStatus`
-> DeleteEvaluationResponse

Creates a value of DeleteEvaluationResponse with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

dersEvaluationId - A user-supplied ID that uniquely identifies the Evaluation . This value should be identical to the value of the EvaluationId in the request.
dersResponseStatus - -- | The response status code.

data DeleteEvaluationResponse #

Represents the output of a DeleteEvaluation operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request.

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

See: deleteEvaluationResponse smart constructor.

Instances

Eq DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods (==) :: DeleteEvaluationResponse -> DeleteEvaluationResponse -> Bool # (/=) :: DeleteEvaluationResponse -> DeleteEvaluationResponse -> Bool #
Data DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> DeleteEvaluationResponse -> c DeleteEvaluationResponse # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c DeleteEvaluationResponse # toConstr :: DeleteEvaluationResponse -> Constr # dataTypeOf :: DeleteEvaluationResponse -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c DeleteEvaluationResponse) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c DeleteEvaluationResponse) # gmapT :: (forall b. Data b => b -> b) -> DeleteEvaluationResponse -> DeleteEvaluationResponse # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> DeleteEvaluationResponse -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> DeleteEvaluationResponse -> r # gmapQ :: (forall d. Data d => d -> u) -> DeleteEvaluationResponse -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> DeleteEvaluationResponse -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> DeleteEvaluationResponse -> m DeleteEvaluationResponse # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> DeleteEvaluationResponse -> m DeleteEvaluationResponse # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> DeleteEvaluationResponse -> m DeleteEvaluationResponse #
Read DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods readsPrec :: Int -> ReadS DeleteEvaluationResponse # readList :: ReadS [DeleteEvaluationResponse] # readPrec :: ReadPrec DeleteEvaluationResponse # readListPrec :: ReadPrec [DeleteEvaluationResponse] #
Show DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods showsPrec :: Int -> DeleteEvaluationResponse -> ShowS # show :: DeleteEvaluationResponse -> String # showList :: [DeleteEvaluationResponse] -> ShowS #
Generic DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Associated Types type Rep DeleteEvaluationResponse :: * -> * # Methods from :: DeleteEvaluationResponse -> Rep DeleteEvaluationResponse x # to :: Rep DeleteEvaluationResponse x -> DeleteEvaluationResponse #
NFData DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation Methods rnf :: DeleteEvaluationResponse -> () #
type Rep DeleteEvaluationResponse #
Instance details Defined in Network.AWS.MachineLearning.DeleteEvaluation type Rep DeleteEvaluationResponse = D1 (MetaData "DeleteEvaluationResponse" "Network.AWS.MachineLearning.DeleteEvaluation" "amazonka-ml-1.6.0-1P3zVrakzeC6pQua2SKozx" False) (C1 (MetaCons "DeleteEvaluationResponse'" PrefixI True) (S1 (MetaSel (Just "_dersEvaluationId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_dersResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int)))

Response Lenses

dersEvaluationId :: Lens' DeleteEvaluationResponse (Maybe Text) #

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

dersResponseStatus :: Lens' DeleteEvaluationResponse Int #

- | The response status code.