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.DescribeTags

Contents

Creating a Request
Request Lenses
Destructuring the Response
Response Lenses

Description

Describes one or more of the tags for your Amazon ML object.

Creating a Request

describeTags #

Arguments

:: Text	`dtResourceId`
-> TaggableResourceType	`dtResourceType`
-> DescribeTags

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

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

dtResourceId - The ID of the ML object. For example, exampleModelId .
dtResourceType - The type of the ML object.

data DescribeTags #

See: describeTags smart constructor.

Instances

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

Request Lenses

dtResourceId :: Lens' DescribeTags Text #

The ID of the ML object. For example, exampleModelId .

dtResourceType :: Lens' DescribeTags TaggableResourceType #

The type of the ML object.

Destructuring the Response

describeTagsResponse #

Arguments

:: Int	`dtrsResponseStatus`
-> DescribeTagsResponse

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

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

dtrsResourceId - The ID of the tagged ML object.
dtrsResourceType - The type of the tagged ML object.
dtrsTags - A list of tags associated with the ML object.
dtrsResponseStatus - -- | The response status code.

data DescribeTagsResponse #

Amazon ML returns the following elements.

See: describeTagsResponse smart constructor.

Instances

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

Response Lenses

dtrsResourceId :: Lens' DescribeTagsResponse (Maybe Text) #

The ID of the tagged ML object.

dtrsResourceType :: Lens' DescribeTagsResponse (Maybe TaggableResourceType) #

The type of the tagged ML object.

dtrsTags :: Lens' DescribeTagsResponse [Tag] #

A list of tags associated with the ML object.

dtrsResponseStatus :: Lens' DescribeTagsResponse Int #

- | The response status code.