amazonka-rekognition-2.0: gen/Amazonka/Rekognition/Types/TestingData.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.Rekognition.Types.TestingData
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.Rekognition.Types.TestingData where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
import Amazonka.Rekognition.Types.Asset
-- | 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.
data TestingData = TestingData'
{ -- | The assets used for testing.
assets :: Prelude.Maybe [Asset],
-- | 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.
autoCreate :: Prelude.Maybe Prelude.Bool
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'TestingData' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'assets', 'testingData_assets' - The assets used for testing.
--
-- 'autoCreate', '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.
newTestingData ::
TestingData
newTestingData =
TestingData'
{ assets = Prelude.Nothing,
autoCreate = Prelude.Nothing
}
-- | The assets used for testing.
testingData_assets :: Lens.Lens' TestingData (Prelude.Maybe [Asset])
testingData_assets = Lens.lens (\TestingData' {assets} -> assets) (\s@TestingData' {} a -> s {assets = a} :: TestingData) Prelude.. Lens.mapping Lens.coerced
-- | 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_autoCreate :: Lens.Lens' TestingData (Prelude.Maybe Prelude.Bool)
testingData_autoCreate = Lens.lens (\TestingData' {autoCreate} -> autoCreate) (\s@TestingData' {} a -> s {autoCreate = a} :: TestingData)
instance Data.FromJSON TestingData where
parseJSON =
Data.withObject
"TestingData"
( \x ->
TestingData'
Prelude.<$> (x Data..:? "Assets" Data..!= Prelude.mempty)
Prelude.<*> (x Data..:? "AutoCreate")
)
instance Prelude.Hashable TestingData where
hashWithSalt _salt TestingData' {..} =
_salt
`Prelude.hashWithSalt` assets
`Prelude.hashWithSalt` autoCreate
instance Prelude.NFData TestingData where
rnf TestingData' {..} =
Prelude.rnf assets
`Prelude.seq` Prelude.rnf autoCreate
instance Data.ToJSON TestingData where
toJSON TestingData' {..} =
Data.object
( Prelude.catMaybes
[ ("Assets" Data..=) Prelude.<$> assets,
("AutoCreate" Data..=) Prelude.<$> autoCreate
]
)