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.LabelSchema

Description

Synopsis

Documentation

data LabelSchema Source #

The label schema.

See: newLabelSchema smart constructor.

Constructors

LabelSchema'

Fields

labelMapper :: Maybe (HashMap Text [Text])
The label mapper maps the Amazon Fraud Detector supported model classification labels (FRAUD, LEGIT) to the appropriate event type labels. For example, if "FRAUD" and "LEGIT" are Amazon Fraud Detector supported labels, this mapper could be: {"FRAUD" => ["0"], "LEGIT" => ["1"]} or {"FRAUD" => ["false"], "LEGIT" => ["true"]} or {"FRAUD" => ["fraud", "abuse"], "LEGIT" => ["legit", "safe"]}. The value part of the mapper is a list, because you may have multiple label variants from your event type for a single Amazon Fraud Detector label.
unlabeledEventsTreatment :: Maybe UnlabeledEventsTreatment
The action to take for unlabeled events.

Instances

Instances details

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

newLabelSchema :: LabelSchema Source #

Create a value of LabelSchema 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:labelMapper:LabelSchema', labelSchema_labelMapper - The label mapper maps the Amazon Fraud Detector supported model classification labels (FRAUD, LEGIT) to the appropriate event type labels. For example, if "FRAUD" and "LEGIT" are Amazon Fraud Detector supported labels, this mapper could be: {"FRAUD" => ["0"], "LEGIT" => ["1"]} or {"FRAUD" => ["false"], "LEGIT" => ["true"]} or {"FRAUD" => ["fraud", "abuse"], "LEGIT" => ["legit", "safe"]}. The value part of the mapper is a list, because you may have multiple label variants from your event type for a single Amazon Fraud Detector label.

$sel:unlabeledEventsTreatment:LabelSchema', labelSchema_unlabeledEventsTreatment - The action to take for unlabeled events.

labelSchema_labelMapper :: Lens' LabelSchema (Maybe (HashMap Text [Text])) Source #

The label mapper maps the Amazon Fraud Detector supported model classification labels (FRAUD, LEGIT) to the appropriate event type labels. For example, if "FRAUD" and "LEGIT" are Amazon Fraud Detector supported labels, this mapper could be: {"FRAUD" => ["0"], "LEGIT" => ["1"]} or {"FRAUD" => ["false"], "LEGIT" => ["true"]} or {"FRAUD" => ["fraud", "abuse"], "LEGIT" => ["legit", "safe"]}. The value part of the mapper is a list, because you may have multiple label variants from your event type for a single Amazon Fraud Detector label.

labelSchema_unlabeledEventsTreatment :: Lens' LabelSchema (Maybe UnlabeledEventsTreatment) Source #

The action to take for unlabeled events.