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.TrainingDataSchema

Description

Synopsis

data TrainingDataSchema = TrainingDataSchema' {
- labelSchema :: Maybe LabelSchema
- modelVariables :: [Text]
}
newTrainingDataSchema :: TrainingDataSchema
trainingDataSchema_labelSchema :: Lens' TrainingDataSchema (Maybe LabelSchema)
trainingDataSchema_modelVariables :: Lens' TrainingDataSchema [Text]

Documentation

data TrainingDataSchema Source #

The training data schema.

See: newTrainingDataSchema smart constructor.

Constructors

TrainingDataSchema'
Fields labelSchema :: Maybe LabelSchema modelVariables :: [Text] The training data schema variables.

Instances

Instances details

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

newTrainingDataSchema :: TrainingDataSchema Source #

Create a value of TrainingDataSchema 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:labelSchema:TrainingDataSchema', trainingDataSchema_labelSchema - Undocumented member.

$sel:modelVariables:TrainingDataSchema', trainingDataSchema_modelVariables - The training data schema variables.

trainingDataSchema_labelSchema :: Lens' TrainingDataSchema (Maybe LabelSchema) Source #

Undocumented member.

trainingDataSchema_modelVariables :: Lens' TrainingDataSchema [Text] Source #

The training data schema variables.