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.FraudDetector.Types.ModelScores

Description

Synopsis

data ModelScores = ModelScores' {
- modelVersion :: Maybe ModelVersion
- scores :: Maybe (HashMap Text Double)
}
newModelScores :: ModelScores
modelScores_modelVersion :: Lens' ModelScores (Maybe ModelVersion)
modelScores_scores :: Lens' ModelScores (Maybe (HashMap Text Double))

Documentation

data ModelScores Source #

The fraud prediction scores.

See: newModelScores smart constructor.

Constructors

ModelScores'
Fields modelVersion :: Maybe ModelVersion The model version. scores :: Maybe (HashMap Text Double) The model's fraud prediction scores.

Instances

Instances details

FromJSON ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods parseJSON :: Value -> Parser ModelScores # parseJSONList :: Value -> Parser [ModelScores] #
Generic ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Associated Types type Rep ModelScores :: Type -> Type # Methods from :: ModelScores -> Rep ModelScores x # to :: Rep ModelScores x -> ModelScores #
Read ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods readsPrec :: Int -> ReadS ModelScores # readList :: ReadS [ModelScores] # readPrec :: ReadPrec ModelScores # readListPrec :: ReadPrec [ModelScores] #
Show ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods showsPrec :: Int -> ModelScores -> ShowS # show :: ModelScores -> String # showList :: [ModelScores] -> ShowS #
NFData ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods rnf :: ModelScores -> () #
Eq ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods (==) :: ModelScores -> ModelScores -> Bool # (/=) :: ModelScores -> ModelScores -> Bool #
Hashable ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores Methods hashWithSalt :: Int -> ModelScores -> Int # hash :: ModelScores -> Int #
type Rep ModelScores Source #
Instance details Defined in Amazonka.FraudDetector.Types.ModelScores type Rep ModelScores = D1 ('MetaData "ModelScores" "Amazonka.FraudDetector.Types.ModelScores" "amazonka-frauddetector-2.0-CdXFXtLV8DgKo4Kta7Jw61" 'False) (C1 ('MetaCons "ModelScores'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelVersion)) :*: S1 ('MetaSel ('Just "scores") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Double)))))

newModelScores :: ModelScores Source #

Create a value of ModelScores 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:modelVersion:ModelScores', modelScores_modelVersion - The model version.

$sel:scores:ModelScores', modelScores_scores - The model's fraud prediction scores.

modelScores_modelVersion :: Lens' ModelScores (Maybe ModelVersion) Source #

The model version.

modelScores_scores :: Lens' ModelScores (Maybe (HashMap Text Double)) Source #

The model's fraud prediction scores.