amazonka-iot-2.0: gen/Amazonka/IoT/Types/MachineLearningDetectionConfig.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.IoT.Types.MachineLearningDetectionConfig
-- 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.IoT.Types.MachineLearningDetectionConfig where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.IoT.Types.ConfidenceLevel
import qualified Amazonka.Prelude as Prelude
-- | The configuration of an ML Detect Security Profile.
--
-- /See:/ 'newMachineLearningDetectionConfig' smart constructor.
data MachineLearningDetectionConfig = MachineLearningDetectionConfig'
{ -- | The sensitivity of anomalous behavior evaluation. Can be @Low@,
-- @Medium@, or @High@.
confidenceLevel :: ConfidenceLevel
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'MachineLearningDetectionConfig' 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:
--
-- 'confidenceLevel', 'machineLearningDetectionConfig_confidenceLevel' - The sensitivity of anomalous behavior evaluation. Can be @Low@,
-- @Medium@, or @High@.
newMachineLearningDetectionConfig ::
-- | 'confidenceLevel'
ConfidenceLevel ->
MachineLearningDetectionConfig
newMachineLearningDetectionConfig pConfidenceLevel_ =
MachineLearningDetectionConfig'
{ confidenceLevel =
pConfidenceLevel_
}
-- | The sensitivity of anomalous behavior evaluation. Can be @Low@,
-- @Medium@, or @High@.
machineLearningDetectionConfig_confidenceLevel :: Lens.Lens' MachineLearningDetectionConfig ConfidenceLevel
machineLearningDetectionConfig_confidenceLevel = Lens.lens (\MachineLearningDetectionConfig' {confidenceLevel} -> confidenceLevel) (\s@MachineLearningDetectionConfig' {} a -> s {confidenceLevel = a} :: MachineLearningDetectionConfig)
instance Data.FromJSON MachineLearningDetectionConfig where
parseJSON =
Data.withObject
"MachineLearningDetectionConfig"
( \x ->
MachineLearningDetectionConfig'
Prelude.<$> (x Data..: "confidenceLevel")
)
instance
Prelude.Hashable
MachineLearningDetectionConfig
where
hashWithSalt
_salt
MachineLearningDetectionConfig' {..} =
_salt `Prelude.hashWithSalt` confidenceLevel
instance
Prelude.NFData
MachineLearningDetectionConfig
where
rnf MachineLearningDetectionConfig' {..} =
Prelude.rnf confidenceLevel
instance Data.ToJSON MachineLearningDetectionConfig where
toJSON MachineLearningDetectionConfig' {..} =
Data.object
( Prelude.catMaybes
[ Prelude.Just
("confidenceLevel" Data..= confidenceLevel)
]
)