amazonka-frauddetector-2.0: Amazon Fraud Detector SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Description

 
Synopsis

Documentation

data AggregatedVariablesImportanceMetrics Source #

The details of the relative importance of the aggregated variables.

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: newAggregatedVariablesImportanceMetrics smart constructor.

Constructors

AggregatedVariablesImportanceMetrics' 

Fields

Instances

Instances details
FromJSON AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

parseJSON :: Value -> Parser AggregatedVariablesImportanceMetrics #

parseJSONList :: Value -> Parser [AggregatedVariablesImportanceMetrics] #

Generic AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Associated Types

type Rep AggregatedVariablesImportanceMetrics :: Type -> Type #

Methods

from :: AggregatedVariablesImportanceMetrics -> Rep AggregatedVariablesImportanceMetrics x #

to :: Rep AggregatedVariablesImportanceMetrics x -> AggregatedVariablesImportanceMetrics #

Read AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

readsPrec :: Int -> ReadS AggregatedVariablesImportanceMetrics #

readList :: ReadS [AggregatedVariablesImportanceMetrics] #

readPrec :: ReadPrec AggregatedVariablesImportanceMetrics #

readListPrec :: ReadPrec [AggregatedVariablesImportanceMetrics] #

Show AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

showsPrec :: Int -> AggregatedVariablesImportanceMetrics -> ShowS #

show :: AggregatedVariablesImportanceMetrics -> String #

showList :: [AggregatedVariablesImportanceMetrics] -> ShowS #

NFData AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

rnf :: AggregatedVariablesImportanceMetrics -> () #

Eq AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

(==) :: AggregatedVariablesImportanceMetrics -> AggregatedVariablesImportanceMetrics -> Bool #

(/=) :: AggregatedVariablesImportanceMetrics -> AggregatedVariablesImportanceMetrics -> Bool #

Hashable AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

Methods

hashWithSalt :: Int -> AggregatedVariablesImportanceMetrics -> Int #

hash :: AggregatedVariablesImportanceMetrics -> Int #

type Rep AggregatedVariablesImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics

type Rep AggregatedVariablesImportanceMetrics = D1 ('MetaData "AggregatedVariablesImportanceMetrics" "Amazonka.FraudDetector.Types.AggregatedVariablesImportanceMetrics" "amazonka-frauddetector-2.0-CdXFXtLV8DgKo4Kta7Jw61" 'False) (C1 ('MetaCons "AggregatedVariablesImportanceMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "logOddsMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AggregatedLogOddsMetric]))))

newAggregatedVariablesImportanceMetrics :: AggregatedVariablesImportanceMetrics Source #

Create a value of AggregatedVariablesImportanceMetrics 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:logOddsMetrics:AggregatedVariablesImportanceMetrics', aggregatedVariablesImportanceMetrics_logOddsMetrics - List of variables' metrics.

aggregatedVariablesImportanceMetrics_logOddsMetrics :: Lens' AggregatedVariablesImportanceMetrics (Maybe [AggregatedLogOddsMetric]) Source #

List of variables' metrics.