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.TestingData

Description

Synopsis

data TestingData = TestingData' {
- assets :: Maybe [Asset]
- autoCreate :: Maybe Bool
}
newTestingData :: TestingData
testingData_assets :: Lens' TestingData (Maybe [Asset])
testingData_autoCreate :: Lens' TestingData (Maybe Bool)

Documentation

data TestingData Source #

The dataset used for testing. Optionally, if AutoCreate is set, Amazon Rekognition Custom Labels uses the training dataset to create a test dataset with a temporary split of the training dataset.

See: newTestingData smart constructor.

Constructors

TestingData'
Fields assets :: Maybe [Asset] The assets used for testing. autoCreate :: Maybe Bool If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

Instances

Instances details

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

newTestingData :: TestingData Source #

Create a value of TestingData 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:TestingData', testingData_assets - The assets used for testing.

$sel:autoCreate:TestingData', testingData_autoCreate - If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

testingData_assets :: Lens' TestingData (Maybe [Asset]) Source #

The assets used for testing.

testingData_autoCreate :: Lens' TestingData (Maybe Bool) Source #

If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.