Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig

Description

Documentation

data EnrollmentJobFraudDetectionConfig Source #

The configuration defining the action to take when a speaker is flagged by the fraud detection system during a batch speaker enrollment job, and the risk threshold to use for identification.

See: newEnrollmentJobFraudDetectionConfig smart constructor.

Constructors

EnrollmentJobFraudDetectionConfig'

Fields

riskThreshold :: Maybe Natural
Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.
fraudDetectionAction :: Maybe FraudDetectionAction
The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.

Instances

Instances details

Eq EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods (==) :: EnrollmentJobFraudDetectionConfig -> EnrollmentJobFraudDetectionConfig -> Bool # (/=) :: EnrollmentJobFraudDetectionConfig -> EnrollmentJobFraudDetectionConfig -> Bool #
Read EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods readsPrec :: Int -> ReadS EnrollmentJobFraudDetectionConfig # readList :: ReadS [EnrollmentJobFraudDetectionConfig] # readPrec :: ReadPrec EnrollmentJobFraudDetectionConfig # readListPrec :: ReadPrec [EnrollmentJobFraudDetectionConfig] #
Show EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods showsPrec :: Int -> EnrollmentJobFraudDetectionConfig -> ShowS # show :: EnrollmentJobFraudDetectionConfig -> String # showList :: [EnrollmentJobFraudDetectionConfig] -> ShowS #
Generic EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Associated Types type Rep EnrollmentJobFraudDetectionConfig :: Type -> Type # Methods from :: EnrollmentJobFraudDetectionConfig -> Rep EnrollmentJobFraudDetectionConfig x # to :: Rep EnrollmentJobFraudDetectionConfig x -> EnrollmentJobFraudDetectionConfig #
NFData EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods rnf :: EnrollmentJobFraudDetectionConfig -> () #
Hashable EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods hashWithSalt :: Int -> EnrollmentJobFraudDetectionConfig -> Int # hash :: EnrollmentJobFraudDetectionConfig -> Int #
ToJSON EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods toJSON :: EnrollmentJobFraudDetectionConfig -> Value # toEncoding :: EnrollmentJobFraudDetectionConfig -> Encoding # toJSONList :: [EnrollmentJobFraudDetectionConfig] -> Value # toEncodingList :: [EnrollmentJobFraudDetectionConfig] -> Encoding #
FromJSON EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods parseJSON :: Value -> Parser EnrollmentJobFraudDetectionConfig # parseJSONList :: Value -> Parser [EnrollmentJobFraudDetectionConfig] #
type Rep EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig type Rep EnrollmentJobFraudDetectionConfig = D1 ('MetaData "EnrollmentJobFraudDetectionConfig" "Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig" "libZSservicesZSamazonka-voice-idZSamazonka-voice-id" 'False) (C1 ('MetaCons "EnrollmentJobFraudDetectionConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "riskThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "fraudDetectionAction") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FraudDetectionAction))))

newEnrollmentJobFraudDetectionConfig :: EnrollmentJobFraudDetectionConfig Source #

Create a value of EnrollmentJobFraudDetectionConfig 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:riskThreshold:EnrollmentJobFraudDetectionConfig', enrollmentJobFraudDetectionConfig_riskThreshold - Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.

$sel:fraudDetectionAction:EnrollmentJobFraudDetectionConfig', enrollmentJobFraudDetectionConfig_fraudDetectionAction - The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.

enrollmentJobFraudDetectionConfig_riskThreshold :: Lens' EnrollmentJobFraudDetectionConfig (Maybe Natural) Source #

Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.

enrollmentJobFraudDetectionConfig_fraudDetectionAction :: Lens' EnrollmentJobFraudDetectionConfig (Maybe FraudDetectionAction) Source #

The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.