amazonka-ml-1.6.1: Amazon Machine Learning SDK.

Copyright(c) 2013-2018 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone
LanguageHaskell2010

Network.AWS.MachineLearning.CreateRealtimeEndpoint

Contents

Description

Creates a real-time endpoint for the MLModel . The endpoint contains the URI of the MLModel ; that is, the location to send real-time prediction requests for the specified MLModel .

Synopsis

Creating a Request

createRealtimeEndpoint Source #

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

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

  • creMLModelId - The ID assigned to the MLModel during creation.

data CreateRealtimeEndpoint Source #

See: createRealtimeEndpoint smart constructor.

Instances
Eq CreateRealtimeEndpoint Source # 
Instance details

Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Data CreateRealtimeEndpoint Source # 
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Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> CreateRealtimeEndpoint -> c CreateRealtimeEndpoint #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c CreateRealtimeEndpoint #

toConstr :: CreateRealtimeEndpoint -> Constr #

dataTypeOf :: CreateRealtimeEndpoint -> DataType #

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c CreateRealtimeEndpoint) #

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c CreateRealtimeEndpoint) #

gmapT :: (forall b. Data b => b -> b) -> CreateRealtimeEndpoint -> CreateRealtimeEndpoint #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> CreateRealtimeEndpoint -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> CreateRealtimeEndpoint -> r #

gmapQ :: (forall d. Data d => d -> u) -> CreateRealtimeEndpoint -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> CreateRealtimeEndpoint -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpoint -> m CreateRealtimeEndpoint #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpoint -> m CreateRealtimeEndpoint #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpoint -> m CreateRealtimeEndpoint #

Read CreateRealtimeEndpoint Source # 
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Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Show CreateRealtimeEndpoint Source # 
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Generic CreateRealtimeEndpoint Source # 
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Associated Types

type Rep CreateRealtimeEndpoint :: Type -> Type #

Hashable CreateRealtimeEndpoint Source # 
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ToJSON CreateRealtimeEndpoint Source # 
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AWSRequest CreateRealtimeEndpoint Source # 
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Associated Types

type Rs CreateRealtimeEndpoint :: Type #

ToHeaders CreateRealtimeEndpoint Source # 
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ToPath CreateRealtimeEndpoint Source # 
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ToQuery CreateRealtimeEndpoint Source # 
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NFData CreateRealtimeEndpoint Source # 
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Methods

rnf :: CreateRealtimeEndpoint -> () #

type Rep CreateRealtimeEndpoint Source # 
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Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

type Rep CreateRealtimeEndpoint = D1 (MetaData "CreateRealtimeEndpoint" "Network.AWS.MachineLearning.CreateRealtimeEndpoint" "amazonka-ml-1.6.1-CNBnEKh3aOlK9oNc02t7Bw" True) (C1 (MetaCons "CreateRealtimeEndpoint'" PrefixI True) (S1 (MetaSel (Just "_creMLModelId") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Text)))
type Rs CreateRealtimeEndpoint Source # 
Instance details

Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Request Lenses

creMLModelId :: Lens' CreateRealtimeEndpoint Text Source #

The ID assigned to the MLModel during creation.

Destructuring the Response

createRealtimeEndpointResponse Source #

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

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

data CreateRealtimeEndpointResponse Source #

Represents the output of an CreateRealtimeEndpoint operation.

The result contains the MLModelId and the endpoint information for the MLModel .

See: createRealtimeEndpointResponse smart constructor.

Instances
Eq CreateRealtimeEndpointResponse Source # 
Instance details

Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Data CreateRealtimeEndpointResponse Source # 
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Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> CreateRealtimeEndpointResponse -> c CreateRealtimeEndpointResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c CreateRealtimeEndpointResponse #

toConstr :: CreateRealtimeEndpointResponse -> Constr #

dataTypeOf :: CreateRealtimeEndpointResponse -> DataType #

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c CreateRealtimeEndpointResponse) #

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c CreateRealtimeEndpointResponse) #

gmapT :: (forall b. Data b => b -> b) -> CreateRealtimeEndpointResponse -> CreateRealtimeEndpointResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> CreateRealtimeEndpointResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> CreateRealtimeEndpointResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> CreateRealtimeEndpointResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> CreateRealtimeEndpointResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpointResponse -> m CreateRealtimeEndpointResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpointResponse -> m CreateRealtimeEndpointResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> CreateRealtimeEndpointResponse -> m CreateRealtimeEndpointResponse #

Read CreateRealtimeEndpointResponse Source # 
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Defined in Network.AWS.MachineLearning.CreateRealtimeEndpoint

Show CreateRealtimeEndpointResponse Source # 
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Generic CreateRealtimeEndpointResponse Source # 
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Associated Types

type Rep CreateRealtimeEndpointResponse :: Type -> Type #

NFData CreateRealtimeEndpointResponse Source # 
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type Rep CreateRealtimeEndpointResponse Source # 
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type Rep CreateRealtimeEndpointResponse = D1 (MetaData "CreateRealtimeEndpointResponse" "Network.AWS.MachineLearning.CreateRealtimeEndpoint" "amazonka-ml-1.6.1-CNBnEKh3aOlK9oNc02t7Bw" False) (C1 (MetaCons "CreateRealtimeEndpointResponse'" PrefixI True) (S1 (MetaSel (Just "_crersRealtimeEndpointInfo") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe RealtimeEndpointInfo)) :*: (S1 (MetaSel (Just "_crersMLModelId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Text)) :*: S1 (MetaSel (Just "_crersResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))

Response Lenses

crersMLModelId :: Lens' CreateRealtimeEndpointResponse (Maybe Text) Source #

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