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.AggregatedLogOddsMetric

Description

Synopsis

data AggregatedLogOddsMetric = AggregatedLogOddsMetric' {
- variableNames :: [Text]
- aggregatedVariablesImportance :: Double
}
newAggregatedLogOddsMetric :: Double -> AggregatedLogOddsMetric
aggregatedLogOddsMetric_variableNames :: Lens' AggregatedLogOddsMetric [Text]
aggregatedLogOddsMetric_aggregatedVariablesImportance :: Lens' AggregatedLogOddsMetric Double

Documentation

data AggregatedLogOddsMetric Source #

The log odds metric details.

Account Takeover Insights (ATI) model uses event variables from the login data you provide to continuously calculate a set of variables (aggregated variables) based on historical events. For example, your ATI model might calculate the number of times an user has logged in using the same IP address. In this case, event variables used to derive the aggregated variables are IP address and user.

See: newAggregatedLogOddsMetric smart constructor.

Constructors

AggregatedLogOddsMetric'
Fields variableNames :: [Text] The names of all the variables. aggregatedVariablesImportance :: Double The relative importance of the variables in the list to the other event variable.

Instances

Instances details

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

newAggregatedLogOddsMetric Source #

Arguments

:: Double	`$sel:aggregatedVariablesImportance:AggregatedLogOddsMetric'`
-> AggregatedLogOddsMetric

Create a value of AggregatedLogOddsMetric 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:variableNames:AggregatedLogOddsMetric', aggregatedLogOddsMetric_variableNames - The names of all the variables.

$sel:aggregatedVariablesImportance:AggregatedLogOddsMetric', aggregatedLogOddsMetric_aggregatedVariablesImportance - The relative importance of the variables in the list to the other event variable.

aggregatedLogOddsMetric_variableNames :: Lens' AggregatedLogOddsMetric [Text] Source #

The names of all the variables.

aggregatedLogOddsMetric_aggregatedVariablesImportance :: Lens' AggregatedLogOddsMetric Double Source #

The relative importance of the variables in the list to the other event variable.