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.FraudDetector.Types.TrainingResult

Description

Documentation

data TrainingResult Source #

The training result details.

See: newTrainingResult smart constructor.

Constructors

TrainingResult'
Fields dataValidationMetrics :: Maybe DataValidationMetrics The validation metrics. trainingMetrics :: Maybe TrainingMetrics The training metric details. variableImportanceMetrics :: Maybe VariableImportanceMetrics The variable importance metrics.

Instances

Instances details

Eq TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods (==) :: TrainingResult -> TrainingResult -> Bool # (/=) :: TrainingResult -> TrainingResult -> Bool #
Read TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods readsPrec :: Int -> ReadS TrainingResult # readList :: ReadS [TrainingResult] # readPrec :: ReadPrec TrainingResult # readListPrec :: ReadPrec [TrainingResult] #
Show TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods showsPrec :: Int -> TrainingResult -> ShowS # show :: TrainingResult -> String # showList :: [TrainingResult] -> ShowS #
Generic TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Associated Types type Rep TrainingResult :: Type -> Type # Methods from :: TrainingResult -> Rep TrainingResult x # to :: Rep TrainingResult x -> TrainingResult #
NFData TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods rnf :: TrainingResult -> () #
Hashable TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods hashWithSalt :: Int -> TrainingResult -> Int # hash :: TrainingResult -> Int #
FromJSON TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult Methods parseJSON :: Value -> Parser TrainingResult # parseJSONList :: Value -> Parser [TrainingResult] #
type Rep TrainingResult Source #
Instance details Defined in Amazonka.FraudDetector.Types.TrainingResult type Rep TrainingResult = D1 ('MetaData "TrainingResult" "Amazonka.FraudDetector.Types.TrainingResult" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "TrainingResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataValidationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataValidationMetrics)) :: (S1 ('MetaSel ('Just "trainingMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingMetrics)) :: S1 ('MetaSel ('Just "variableImportanceMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VariableImportanceMetrics)))))

newTrainingResult :: TrainingResult Source #

Create a value of TrainingResult 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:dataValidationMetrics:TrainingResult', trainingResult_dataValidationMetrics - The validation metrics.

$sel:trainingMetrics:TrainingResult', trainingResult_trainingMetrics - The training metric details.

$sel:variableImportanceMetrics:TrainingResult', trainingResult_variableImportanceMetrics - The variable importance metrics.

trainingResult_dataValidationMetrics :: Lens' TrainingResult (Maybe DataValidationMetrics) Source #

The validation metrics.

trainingResult_trainingMetrics :: Lens' TrainingResult (Maybe TrainingMetrics) Source #

The training metric details.

trainingResult_variableImportanceMetrics :: Lens' TrainingResult (Maybe VariableImportanceMetrics) Source #

The variable importance metrics.