Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Rekognition.Types.TrainingData

Description

Synopsis

data TrainingData = TrainingData' {
- assets :: Maybe [Asset]
}
newTrainingData :: TrainingData
trainingData_assets :: Lens' TrainingData (Maybe [Asset])

Documentation

data TrainingData Source #

The dataset used for training.

See: newTrainingData smart constructor.

Constructors

TrainingData'
Fields assets :: Maybe [Asset] A Sagemaker GroundTruth manifest file that contains the training images (assets).

Instances

Instances details

Eq TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods (==) :: TrainingData -> TrainingData -> Bool # (/=) :: TrainingData -> TrainingData -> Bool #
Read TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods readsPrec :: Int -> ReadS TrainingData # readList :: ReadS [TrainingData] # readPrec :: ReadPrec TrainingData # readListPrec :: ReadPrec [TrainingData] #
Show TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods showsPrec :: Int -> TrainingData -> ShowS # show :: TrainingData -> String # showList :: [TrainingData] -> ShowS #
Generic TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Associated Types type Rep TrainingData :: Type -> Type # Methods from :: TrainingData -> Rep TrainingData x # to :: Rep TrainingData x -> TrainingData #
NFData TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods rnf :: TrainingData -> () #
Hashable TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods hashWithSalt :: Int -> TrainingData -> Int # hash :: TrainingData -> Int #
ToJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods toJSON :: TrainingData -> Value # toEncoding :: TrainingData -> Encoding # toJSONList :: [TrainingData] -> Value # toEncodingList :: [TrainingData] -> Encoding #
FromJSON TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData Methods parseJSON :: Value -> Parser TrainingData # parseJSONList :: Value -> Parser [TrainingData] #
type Rep TrainingData Source #
Instance details Defined in Amazonka.Rekognition.Types.TrainingData type Rep TrainingData = D1 ('MetaData "TrainingData" "Amazonka.Rekognition.Types.TrainingData" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "TrainingData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "assets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Asset]))))

newTrainingData :: TrainingData Source #

Create a value of TrainingData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:assets:TrainingData', trainingData_assets - A Sagemaker GroundTruth manifest file that contains the training images (assets).

trainingData_assets :: Lens' TrainingData (Maybe [Asset]) Source #

A Sagemaker GroundTruth manifest file that contains the training images (assets).