Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Rekognition.Types.DistributeDataset

Description

Synopsis

data DistributeDataset = DistributeDataset' {
- arn :: Text
}
newDistributeDataset :: Text -> DistributeDataset
distributeDataset_arn :: Lens' DistributeDataset Text

Documentation

data DistributeDataset Source #

A training dataset or a test dataset used in a dataset distribution operation. For more information, see DistributeDatasetEntries.

See: newDistributeDataset smart constructor.

Constructors

DistributeDataset'
Fields arn :: Text The Amazon Resource Name (ARN) of the dataset that you want to use.

Instances

Instances details

ToJSON DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods toJSON :: DistributeDataset -> Value # toEncoding :: DistributeDataset -> Encoding # toJSONList :: [DistributeDataset] -> Value # toEncodingList :: [DistributeDataset] -> Encoding #
Generic DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Associated Types type Rep DistributeDataset :: Type -> Type # Methods from :: DistributeDataset -> Rep DistributeDataset x # to :: Rep DistributeDataset x -> DistributeDataset #
Read DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods readsPrec :: Int -> ReadS DistributeDataset # readList :: ReadS [DistributeDataset] # readPrec :: ReadPrec DistributeDataset # readListPrec :: ReadPrec [DistributeDataset] #
Show DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods showsPrec :: Int -> DistributeDataset -> ShowS # show :: DistributeDataset -> String # showList :: [DistributeDataset] -> ShowS #
NFData DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods rnf :: DistributeDataset -> () #
Eq DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods (==) :: DistributeDataset -> DistributeDataset -> Bool # (/=) :: DistributeDataset -> DistributeDataset -> Bool #
Hashable DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset Methods hashWithSalt :: Int -> DistributeDataset -> Int # hash :: DistributeDataset -> Int #
type Rep DistributeDataset Source #
Instance details Defined in Amazonka.Rekognition.Types.DistributeDataset type Rep DistributeDataset = D1 ('MetaData "DistributeDataset" "Amazonka.Rekognition.Types.DistributeDataset" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DistributeDataset'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newDistributeDataset Source #

Arguments

:: Text	`$sel:arn:DistributeDataset'`
-> DistributeDataset

Create a value of DistributeDataset 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:arn:DistributeDataset', distributeDataset_arn - The Amazon Resource Name (ARN) of the dataset that you want to use.

distributeDataset_arn :: Lens' DistributeDataset Text Source #

The Amazon Resource Name (ARN) of the dataset that you want to use.