Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.IoT.Types.MachineLearningDetectionConfig

Description

Synopsis

Documentation

data MachineLearningDetectionConfig Source #

The configuration of an ML Detect Security Profile.

See: newMachineLearningDetectionConfig smart constructor.

Constructors

MachineLearningDetectionConfig'
Fields confidenceLevel :: ConfidenceLevel The sensitivity of anomalous behavior evaluation. Can be `Low`, `Medium`, or `High`.

Instances

Instances details

FromJSON MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods parseJSON :: Value -> Parser MachineLearningDetectionConfig # parseJSONList :: Value -> Parser [MachineLearningDetectionConfig] #
ToJSON MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods toJSON :: MachineLearningDetectionConfig -> Value # toEncoding :: MachineLearningDetectionConfig -> Encoding # toJSONList :: [MachineLearningDetectionConfig] -> Value # toEncodingList :: [MachineLearningDetectionConfig] -> Encoding #
Generic MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Associated Types type Rep MachineLearningDetectionConfig :: Type -> Type # Methods from :: MachineLearningDetectionConfig -> Rep MachineLearningDetectionConfig x # to :: Rep MachineLearningDetectionConfig x -> MachineLearningDetectionConfig #
Read MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods readsPrec :: Int -> ReadS MachineLearningDetectionConfig # readList :: ReadS [MachineLearningDetectionConfig] # readPrec :: ReadPrec MachineLearningDetectionConfig # readListPrec :: ReadPrec [MachineLearningDetectionConfig] #
Show MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods showsPrec :: Int -> MachineLearningDetectionConfig -> ShowS # show :: MachineLearningDetectionConfig -> String # showList :: [MachineLearningDetectionConfig] -> ShowS #
NFData MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods rnf :: MachineLearningDetectionConfig -> () #
Eq MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods (==) :: MachineLearningDetectionConfig -> MachineLearningDetectionConfig -> Bool # (/=) :: MachineLearningDetectionConfig -> MachineLearningDetectionConfig -> Bool #
Hashable MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig Methods hashWithSalt :: Int -> MachineLearningDetectionConfig -> Int # hash :: MachineLearningDetectionConfig -> Int #
type Rep MachineLearningDetectionConfig Source #
Instance details Defined in Amazonka.IoT.Types.MachineLearningDetectionConfig type Rep MachineLearningDetectionConfig = D1 ('MetaData "MachineLearningDetectionConfig" "Amazonka.IoT.Types.MachineLearningDetectionConfig" "amazonka-iot-2.0-6w03vgAfmrM1SG22OsNJXL" 'False) (C1 ('MetaCons "MachineLearningDetectionConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidenceLevel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ConfidenceLevel)))

newMachineLearningDetectionConfig Source #

Arguments

:: ConfidenceLevel	`$sel:confidenceLevel:MachineLearningDetectionConfig'`
-> MachineLearningDetectionConfig

Create a value of MachineLearningDetectionConfig 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:confidenceLevel:MachineLearningDetectionConfig', machineLearningDetectionConfig_confidenceLevel - The sensitivity of anomalous behavior evaluation. Can be Low, Medium, or High.

machineLearningDetectionConfig_confidenceLevel :: Lens' MachineLearningDetectionConfig ConfidenceLevel Source #

The sensitivity of anomalous behavior evaluation. Can be Low, Medium, or High.