Copyright	(c) 2015-2016 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None
Language	Haskell2010

Network.Google.Resource.Prediction.TrainedModels.Predict

Contents

REST Resource
Creating a Request
Request Lenses

Description

Submit model id and request a prediction.

See: Prediction API Reference for prediction.trainedmodels.predict.

Synopsis

type TrainedModelsPredictResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (Capture "id" Text :> ("predict" :> (QueryParam "alt" AltJSON :> (ReqBody '[JSON] Input :> Post '[JSON] Output))))))))
trainedModelsPredict :: Text -> Input -> Text -> TrainedModelsPredict
data TrainedModelsPredict
tmpProject :: Lens' TrainedModelsPredict Text
tmpPayload :: Lens' TrainedModelsPredict Input
tmpId :: Lens' TrainedModelsPredict Text

REST Resource

type TrainedModelsPredictResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (Capture "id" Text :> ("predict" :> (QueryParam "alt" AltJSON :> (ReqBody '[JSON] Input :> Post '[JSON] Output)))))))) Source #

A resource alias for prediction.trainedmodels.predict method which the TrainedModelsPredict request conforms to.

Creating a Request

trainedModelsPredict Source #

Arguments

:: Text	`tmpProject`
-> Input	`tmpPayload`
-> Text	`tmpId`
-> TrainedModelsPredict

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

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

data TrainedModelsPredict Source #

Submit model id and request a prediction.

See: trainedModelsPredict smart constructor.

Instances

Eq TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict Methods (==) :: TrainedModelsPredict -> TrainedModelsPredict -> Bool # (/=) :: TrainedModelsPredict -> TrainedModelsPredict -> Bool #
Data TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> TrainedModelsPredict -> c TrainedModelsPredict # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c TrainedModelsPredict # toConstr :: TrainedModelsPredict -> Constr # dataTypeOf :: TrainedModelsPredict -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c TrainedModelsPredict) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c TrainedModelsPredict) # gmapT :: (forall b. Data b => b -> b) -> TrainedModelsPredict -> TrainedModelsPredict # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> TrainedModelsPredict -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> TrainedModelsPredict -> r # gmapQ :: (forall d. Data d => d -> u) -> TrainedModelsPredict -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> TrainedModelsPredict -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> TrainedModelsPredict -> m TrainedModelsPredict # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> TrainedModelsPredict -> m TrainedModelsPredict # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> TrainedModelsPredict -> m TrainedModelsPredict #
Show TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict Methods showsPrec :: Int -> TrainedModelsPredict -> ShowS # show :: TrainedModelsPredict -> String # showList :: [TrainedModelsPredict] -> ShowS #
Generic TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict Associated Types type Rep TrainedModelsPredict :: Type -> Type # Methods from :: TrainedModelsPredict -> Rep TrainedModelsPredict x # to :: Rep TrainedModelsPredict x -> TrainedModelsPredict #
GoogleRequest TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict Associated Types type Rs TrainedModelsPredict :: Type # type Scopes TrainedModelsPredict :: [Symbol] # Methods requestClient :: TrainedModelsPredict -> GClient (Rs TrainedModelsPredict) #
type Rep TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict type Rep TrainedModelsPredict = D1 (MetaData "TrainedModelsPredict" "Network.Google.Resource.Prediction.TrainedModels.Predict" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "TrainedModelsPredict'" PrefixI True) (S1 (MetaSel (Just "_tmpProject") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :: (S1 (MetaSel (Just "_tmpPayload") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Input) :: S1 (MetaSel (Just "_tmpId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text))))
type Scopes TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict type Scopes TrainedModelsPredict = "https://www.googleapis.com/auth/cloud-platform" ': ("https://www.googleapis.com/auth/prediction" ': ([] :: [Symbol]))
type Rs TrainedModelsPredict Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Predict type Rs TrainedModelsPredict = Output

Request Lenses

tmpProject :: Lens' TrainedModelsPredict Text Source #

The project associated with the model.

tmpPayload :: Lens' TrainedModelsPredict Input Source #

Multipart request metadata.

tmpId :: Lens' TrainedModelsPredict Text Source #

The unique name for the predictive model.