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.Analyze

Contents

REST Resource
Creating a Request
Request Lenses

Description

Get analysis of the model and the data the model was trained on.

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

Synopsis

type TrainedModelsAnalyzeResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (Capture "id" Text :> ("analyze" :> (QueryParam "alt" AltJSON :> Get '[JSON] Analyze)))))))
trainedModelsAnalyze :: Text -> Text -> TrainedModelsAnalyze
data TrainedModelsAnalyze
tmaProject :: Lens' TrainedModelsAnalyze Text
tmaId :: Lens' TrainedModelsAnalyze Text

REST Resource

type TrainedModelsAnalyzeResource = "prediction" :> ("v1.6" :> ("projects" :> (Capture "project" Text :> ("trainedmodels" :> (Capture "id" Text :> ("analyze" :> (QueryParam "alt" AltJSON :> Get '[JSON] Analyze))))))) Source #

A resource alias for prediction.trainedmodels.analyze method which the TrainedModelsAnalyze request conforms to.

Creating a Request

trainedModelsAnalyze Source #

Arguments

:: Text	`tmaProject`
-> Text	`tmaId`
-> TrainedModelsAnalyze

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

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

tmaProject
tmaId

data TrainedModelsAnalyze Source #

Get analysis of the model and the data the model was trained on.

See: trainedModelsAnalyze smart constructor.

Instances

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

Request Lenses

tmaProject :: Lens' TrainedModelsAnalyze Text Source #

The project associated with the model.

tmaId :: Lens' TrainedModelsAnalyze Text Source #

The unique name for the predictive model.