Amazonka.Rekognition.Types.TestingData

Documentation

data TestingData

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

FromJSON TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

parseJSON :: Value -> Parser TestingData

parseJSONList :: Value -> Parser [TestingData]

ToJSON TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

toJSON :: TestingData -> Value

toEncoding :: TestingData -> Encoding

toJSONList :: [TestingData] -> Value

toEncodingList :: [TestingData] -> Encoding

Generic TestingData

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

Defined in Amazonka.Rekognition.Types.TestingData

Methods

readsPrec :: Int -> ReadS TestingData

readList :: ReadS [TestingData]

readPrec :: ReadPrec TestingData

readListPrec :: ReadPrec [TestingData]

Show TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

showsPrec :: Int -> TestingData -> ShowS

show :: TestingData -> String

showList :: [TestingData] -> ShowS

NFData TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

rnf :: TestingData -> ()

Eq TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

(==) :: TestingData -> TestingData -> Bool

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

Hashable TestingData

Defined in Amazonka.Rekognition.Types.TestingData

Methods

hashWithSalt :: Int -> TestingData -> Int

hash :: TestingData -> Int

type Rep TestingData

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

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])

The assets used for testing.

testingData_autoCreate :: Lens' TestingData (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.