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.LabelSchema

Description

Documentation

data LabelSchema Source #

The label schema.

See: newLabelSchema smart constructor.

Constructors

LabelSchema'

Fields

unlabeledEventsTreatment :: Maybe UnlabeledEventsTreatment
The action to take for unlabeled events.
labelMapper :: HashMap Text (NonEmpty 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.

Instances

Instances details

Eq LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema Methods (==) :: LabelSchema -> LabelSchema -> Bool # (/=) :: LabelSchema -> LabelSchema -> Bool #
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 #
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 #
NFData LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema Methods rnf :: LabelSchema -> () #
Hashable LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema Methods hashWithSalt :: Int -> LabelSchema -> Int # hash :: LabelSchema -> Int #
ToJSON LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema Methods toJSON :: LabelSchema -> Value # toEncoding :: LabelSchema -> Encoding # toJSONList :: [LabelSchema] -> Value # toEncodingList :: [LabelSchema] -> Encoding #
FromJSON LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema Methods parseJSON :: Value -> Parser LabelSchema # parseJSONList :: Value -> Parser [LabelSchema] #
type Rep LabelSchema Source #
Instance details Defined in Amazonka.FraudDetector.Types.LabelSchema type Rep LabelSchema = D1 ('MetaData "LabelSchema" "Amazonka.FraudDetector.Types.LabelSchema" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "LabelSchema'" 'PrefixI 'True) (S1 ('MetaSel ('Just "unlabeledEventsTreatment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UnlabeledEventsTreatment)) :*: S1 ('MetaSel ('Just "labelMapper") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text (NonEmpty Text)))))

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

$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.

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

The action to take for unlabeled events.

labelSchema_labelMapper :: Lens' LabelSchema (HashMap Text (NonEmpty 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.