Amazonka.FraudDetector.Types.LabelSchema

Documentation

data LabelSchema

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

FromJSON LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

parseJSON :: Value -> Parser LabelSchema

parseJSONList :: Value -> Parser [LabelSchema]

ToJSON LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

toJSON :: LabelSchema -> Value

toEncoding :: LabelSchema -> Encoding

toJSONList :: [LabelSchema] -> Value

toEncodingList :: [LabelSchema] -> Encoding

Generic LabelSchema

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

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

readsPrec :: Int -> ReadS LabelSchema

readList :: ReadS [LabelSchema]

readPrec :: ReadPrec LabelSchema

readListPrec :: ReadPrec [LabelSchema]

Show LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

showsPrec :: Int -> LabelSchema -> ShowS

show :: LabelSchema -> String

showList :: [LabelSchema] -> ShowS

NFData LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

rnf :: LabelSchema -> ()

Eq LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

(==) :: LabelSchema -> LabelSchema -> Bool

(/=) :: LabelSchema -> LabelSchema -> Bool

Hashable LabelSchema

Defined in Amazonka.FraudDetector.Types.LabelSchema

Methods

hashWithSalt :: Int -> LabelSchema -> Int

hash :: LabelSchema -> Int

type Rep LabelSchema

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

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]))

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)

The action to take for unlabeled events.