{-# 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 or 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 ] )