Amazonka.Rekognition.Types.TestingDataResult

Documentation

data TestingDataResult

Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.

See: newTestingDataResult smart constructor.

Constructors

TestingDataResult'

Fields

• input :: Maybe TestingData

  The testing dataset that was supplied for training.

• output :: Maybe TestingData

  The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

• validation :: Maybe ValidationData

  The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.

Instances

FromJSON TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

parseJSON :: Value -> Parser TestingDataResult

parseJSONList :: Value -> Parser [TestingDataResult]

Generic TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Associated Types

type Rep TestingDataResult :: Type -> Type

Methods

from :: TestingDataResult -> Rep TestingDataResult x

to :: Rep TestingDataResult x -> TestingDataResult

Read TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

readsPrec :: Int -> ReadS TestingDataResult

readList :: ReadS [TestingDataResult]

readPrec :: ReadPrec TestingDataResult

readListPrec :: ReadPrec [TestingDataResult]

Show TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

showsPrec :: Int -> TestingDataResult -> ShowS

show :: TestingDataResult -> String

showList :: [TestingDataResult] -> ShowS

NFData TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

rnf :: TestingDataResult -> ()

Eq TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

(==) :: TestingDataResult -> TestingDataResult -> Bool

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

Hashable TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

Methods

hashWithSalt :: Int -> TestingDataResult -> Int

hash :: TestingDataResult -> Int

type Rep TestingDataResult

Defined in Amazonka.Rekognition.Types.TestingDataResult

type Rep TestingDataResult = D1 ('MetaData "TestingDataResult" "Amazonka.Rekognition.Types.TestingDataResult" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "TestingDataResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :*: (S1 ('MetaSel ('Just "output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TestingData)) :*: S1 ('MetaSel ('Just "validation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ValidationData)))))

newTestingDataResult :: TestingDataResult

Create a value of TestingDataResult 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:input:TestingDataResult', testingDataResult_input - The testing dataset that was supplied for training.

$sel:output:TestingDataResult', testingDataResult_output - The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

$sel:validation:TestingDataResult', testingDataResult_validation - The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.

testingDataResult_input :: Lens' TestingDataResult (Maybe TestingData)

The testing dataset that was supplied for training.

testingDataResult_output :: Lens' TestingDataResult (Maybe TestingData)

The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.

testingDataResult_validation :: Lens' TestingDataResult (Maybe ValidationData)

The location of the data validation manifest. The data validation manifest is created for the test dataset during model training.