Network.Google.Resource.Prediction.TrainedModels.Analyze

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

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

REST Resource

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

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

Creating a Request

trainedModelsAnalyze

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

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

See: trainedModelsAnalyze smart constructor.

Instances

Eq TrainedModelsAnalyze

Methods

(==) :: TrainedModelsAnalyze -> TrainedModelsAnalyze -> Bool

(/=) :: TrainedModelsAnalyze -> TrainedModelsAnalyze -> Bool

Data TrainedModelsAnalyze

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

Methods

showsPrec :: Int -> TrainedModelsAnalyze -> ShowS

show :: TrainedModelsAnalyze -> String

showList :: [TrainedModelsAnalyze] -> ShowS

Generic TrainedModelsAnalyze

Associated Types

type Rep TrainedModelsAnalyze :: * -> *

Methods

from :: TrainedModelsAnalyze -> Rep TrainedModelsAnalyze x

to :: Rep TrainedModelsAnalyze x -> TrainedModelsAnalyze

GoogleRequest TrainedModelsAnalyze

Associated Types

type Rs TrainedModelsAnalyze :: *

type Scopes TrainedModelsAnalyze :: [Symbol]

Methods

requestClient :: TrainedModelsAnalyze -> Client (Rs TrainedModelsAnalyze)

type Rep TrainedModelsAnalyze

type Rep TrainedModelsAnalyze = D1 (MetaData "TrainedModelsAnalyze" "Network.Google.Resource.Prediction.TrainedModels.Analyze" "gogol-prediction-0.1.1-2BoD76G75odGmQGqBVrACp" False) (C1 (MetaCons "TrainedModelsAnalyze'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_tmaProject") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text)) (S1 (MetaSel (Just Symbol "_tmaId") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Text))))

type Scopes TrainedModelsAnalyze

type Scopes TrainedModelsAnalyze = (:) Symbol "https://www.googleapis.com/auth/cloud-platform" ((:) Symbol "https://www.googleapis.com/auth/prediction" ([] Symbol))

type Rs TrainedModelsAnalyze

type Rs TrainedModelsAnalyze = Analyze

Request Lenses

tmaProject :: Lens' TrainedModelsAnalyze Text

The project associated with the model.

tmaId :: Lens' TrainedModelsAnalyze Text

The unique name for the predictive model.