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.Insert

Contents

REST Resource
Creating a Request
Request Lenses

Description

Train a Prediction API model.

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

Synopsis

type TrainedModelsInsertResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (QueryParam "alt" AltJSON :> (ReqBody '[JSON] Insert :> Post '[JSON] Insert2))))))
trainedModelsInsert :: Text -> Insert -> TrainedModelsInsert
data TrainedModelsInsert
tmiProject :: Lens' TrainedModelsInsert Text
tmiPayload :: Lens' TrainedModelsInsert Insert

REST Resource

type TrainedModelsInsertResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (QueryParam "alt" AltJSON :> (ReqBody '[JSON] Insert :> Post '[JSON] Insert2)))))) Source #

A resource alias for prediction.trainedmodels.insert method which the TrainedModelsInsert request conforms to.

Creating a Request

trainedModelsInsert Source #

Arguments

:: Text	`tmiProject`
-> Insert	`tmiPayload`
-> TrainedModelsInsert

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

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

tmiProject
tmiPayload

data TrainedModelsInsert Source #

Train a Prediction API model.

See: trainedModelsInsert smart constructor.

Instances

Eq TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert Methods (==) :: TrainedModelsInsert -> TrainedModelsInsert -> Bool # (/=) :: TrainedModelsInsert -> TrainedModelsInsert -> Bool #
Data TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> TrainedModelsInsert -> c TrainedModelsInsert # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c TrainedModelsInsert # toConstr :: TrainedModelsInsert -> Constr # dataTypeOf :: TrainedModelsInsert -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c TrainedModelsInsert) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c TrainedModelsInsert) # gmapT :: (forall b. Data b => b -> b) -> TrainedModelsInsert -> TrainedModelsInsert # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> TrainedModelsInsert -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> TrainedModelsInsert -> r # gmapQ :: (forall d. Data d => d -> u) -> TrainedModelsInsert -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> TrainedModelsInsert -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> TrainedModelsInsert -> m TrainedModelsInsert # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> TrainedModelsInsert -> m TrainedModelsInsert # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> TrainedModelsInsert -> m TrainedModelsInsert #
Show TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert Methods showsPrec :: Int -> TrainedModelsInsert -> ShowS # show :: TrainedModelsInsert -> String # showList :: [TrainedModelsInsert] -> ShowS #
Generic TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert Associated Types type Rep TrainedModelsInsert :: Type -> Type # Methods from :: TrainedModelsInsert -> Rep TrainedModelsInsert x # to :: Rep TrainedModelsInsert x -> TrainedModelsInsert #
GoogleRequest TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert Associated Types type Rs TrainedModelsInsert :: Type # type Scopes TrainedModelsInsert :: [Symbol] # Methods requestClient :: TrainedModelsInsert -> GClient (Rs TrainedModelsInsert) #
type Rep TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert type Rep TrainedModelsInsert = D1 (MetaData "TrainedModelsInsert" "Network.Google.Resource.Prediction.TrainedModels.Insert" "gogol-prediction-0.4.0-3Emw2XSeRhvKOHoYDjE9x0" False) (C1 (MetaCons "TrainedModelsInsert'" PrefixI True) (S1 (MetaSel (Just "_tmiProject") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text) :*: S1 (MetaSel (Just "_tmiPayload") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Insert)))
type Scopes TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert type Scopes TrainedModelsInsert = "https://www.googleapis.com/auth/cloud-platform" ': ("https://www.googleapis.com/auth/devstorage.full_control" ': ("https://www.googleapis.com/auth/devstorage.read_only" ': ("https://www.googleapis.com/auth/devstorage.read_write" ': ("https://www.googleapis.com/auth/prediction" ': ([] :: [Symbol])))))
type Rs TrainedModelsInsert Source #
Instance details Defined in Network.Google.Resource.Prediction.TrainedModels.Insert type Rs TrainedModelsInsert = Insert2

Request Lenses

tmiProject :: Lens' TrainedModelsInsert Text Source #

The project associated with the model.

tmiPayload :: Lens' TrainedModelsInsert Insert Source #

Multipart request metadata.