libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.FraudDetector.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2019-11-15 of the Amazon Fraud Detector SDK configuration.

Errors

_ValidationException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating a specified value is not allowed.

_AccessDeniedException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating Amazon Fraud Detector does not have the needed permissions. This can occur if you submit a request, such as PutExternalModel, that specifies a role that is not in your account.

_ResourceUnavailableException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating that the attached customer-owned (external) model threw an exception when Amazon Fraud Detector invoked the model.

_ConflictException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating there was a conflict during a delete operation.

_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating a throttling error.

_InternalServerException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating an internal server error.

_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

An exception indicating the specified resource was not found.

AsyncJobStatus

newtype AsyncJobStatus Source #

Constructors

AsyncJobStatus' 

Instances

Instances details
Eq AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Ord AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Read AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Show AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Generic AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Associated Types

type Rep AsyncJobStatus :: Type -> Type #

NFData AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Methods

rnf :: AsyncJobStatus -> () #

Hashable AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToJSON AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToJSONKey AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

FromJSON AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

FromJSONKey AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToLog AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToHeader AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToQuery AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

FromXML AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToXML AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

Methods

toXML :: AsyncJobStatus -> XML #

ToByteString AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

FromText AsyncJobStatus Source # 
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Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

ToText AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

type Rep AsyncJobStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.AsyncJobStatus

type Rep AsyncJobStatus = D1 ('MetaData "AsyncJobStatus" "Amazonka.FraudDetector.Types.AsyncJobStatus" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "AsyncJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAsyncJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DataSource

newtype DataSource Source #

Constructors

DataSource' 

Fields

Instances

Instances details
Eq DataSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataSource

Ord DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

Read DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

Show DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

Generic DataSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataSource

Associated Types

type Rep DataSource :: Type -> Type #

NFData DataSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataSource

Methods

rnf :: DataSource -> () #

Hashable DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

ToJSON DataSource Source # 
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ToJSONKey DataSource Source # 
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FromJSON DataSource Source # 
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FromJSONKey DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

ToLog DataSource Source # 
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ToHeader DataSource Source # 
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ToQuery DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

FromXML DataSource Source # 
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ToXML DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

Methods

toXML :: DataSource -> XML #

ToByteString DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

FromText DataSource Source # 
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ToText DataSource Source # 
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Defined in Amazonka.FraudDetector.Types.DataSource

Methods

toText :: DataSource -> Text #

type Rep DataSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataSource

type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.FraudDetector.Types.DataSource" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DataType

newtype DataType Source #

Constructors

DataType' 

Fields

Bundled Patterns

pattern DataType_BOOLEAN :: DataType 
pattern DataType_FLOAT :: DataType 
pattern DataType_INTEGER :: DataType 
pattern DataType_STRING :: DataType 

Instances

Instances details
Eq DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

Ord DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

Read DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

Show DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

Generic DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Associated Types

type Rep DataType :: Type -> Type #

Methods

from :: DataType -> Rep DataType x #

to :: Rep DataType x -> DataType #

NFData DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Methods

rnf :: DataType -> () #

Hashable DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Methods

hashWithSalt :: Int -> DataType -> Int #

hash :: DataType -> Int #

ToJSON DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

ToJSONKey DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

FromJSON DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

FromJSONKey DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

ToLog DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

ToHeader DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

Methods

toHeader :: HeaderName -> DataType -> [Header] #

ToQuery DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

FromXML DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

ToXML DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Methods

toXML :: DataType -> XML #

ToByteString DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Methods

toBS :: DataType -> ByteString #

FromText DataType Source # 
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Defined in Amazonka.FraudDetector.Types.DataType

ToText DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

Methods

toText :: DataType -> Text #

type Rep DataType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataType

type Rep DataType = D1 ('MetaData "DataType" "Amazonka.FraudDetector.Types.DataType" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetectorVersionStatus

newtype DetectorVersionStatus Source #

Instances

Instances details
Eq DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Ord DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Read DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Show DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Generic DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Associated Types

type Rep DetectorVersionStatus :: Type -> Type #

NFData DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

Methods

rnf :: DetectorVersionStatus -> () #

Hashable DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToJSON DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToJSONKey DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

FromJSON DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

FromJSONKey DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToLog DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToHeader DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToQuery DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

FromXML DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToXML DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToByteString DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

FromText DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

ToText DetectorVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

type Rep DetectorVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionStatus

type Rep DetectorVersionStatus = D1 ('MetaData "DetectorVersionStatus" "Amazonka.FraudDetector.Types.DetectorVersionStatus" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "DetectorVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetectorVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EventIngestion

newtype EventIngestion Source #

Constructors

EventIngestion' 

Instances

Instances details
Eq EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

Ord EventIngestion Source # 
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Defined in Amazonka.FraudDetector.Types.EventIngestion

Read EventIngestion Source # 
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Defined in Amazonka.FraudDetector.Types.EventIngestion

Show EventIngestion Source # 
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Defined in Amazonka.FraudDetector.Types.EventIngestion

Generic EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

Associated Types

type Rep EventIngestion :: Type -> Type #

NFData EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

Methods

rnf :: EventIngestion -> () #

Hashable EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToJSON EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToJSONKey EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

FromJSON EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

FromJSONKey EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToLog EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToHeader EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToQuery EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

FromXML EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToXML EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

Methods

toXML :: EventIngestion -> XML #

ToByteString EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

FromText EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

ToText EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

type Rep EventIngestion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventIngestion

type Rep EventIngestion = D1 ('MetaData "EventIngestion" "Amazonka.FraudDetector.Types.EventIngestion" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "EventIngestion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEventIngestion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Language

newtype Language Source #

Constructors

Language' 

Fields

Bundled Patterns

pattern Language_DETECTORPL :: Language 

Instances

Instances details
Eq Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Ord Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Read Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Show Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Generic Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Associated Types

type Rep Language :: Type -> Type #

Methods

from :: Language -> Rep Language x #

to :: Rep Language x -> Language #

NFData Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

rnf :: Language -> () #

Hashable Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

hashWithSalt :: Int -> Language -> Int #

hash :: Language -> Int #

ToJSON Language Source # 
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Defined in Amazonka.FraudDetector.Types.Language

ToJSONKey Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

FromJSON Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

FromJSONKey Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

ToLog Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

ToHeader Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

toHeader :: HeaderName -> Language -> [Header] #

ToQuery Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

FromXML Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

ToXML Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

toXML :: Language -> XML #

ToByteString Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

toBS :: Language -> ByteString #

FromText Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

ToText Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

Methods

toText :: Language -> Text #

type Rep Language Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Language

type Rep Language = D1 ('MetaData "Language" "Amazonka.FraudDetector.Types.Language" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "Language'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLanguage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelEndpointStatus

newtype ModelEndpointStatus Source #

Instances

Instances details
Eq ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Ord ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Read ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Show ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Generic ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Associated Types

type Rep ModelEndpointStatus :: Type -> Type #

NFData ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

Methods

rnf :: ModelEndpointStatus -> () #

Hashable ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToJSON ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToJSONKey ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

FromJSON ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

FromJSONKey ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToLog ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToHeader ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToQuery ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

FromXML ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToXML ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToByteString ModelEndpointStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

FromText ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

ToText ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

type Rep ModelEndpointStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointStatus

type Rep ModelEndpointStatus = D1 ('MetaData "ModelEndpointStatus" "Amazonka.FraudDetector.Types.ModelEndpointStatus" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelEndpointStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelEndpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelInputDataFormat

newtype ModelInputDataFormat Source #

Instances

Instances details
Eq ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Ord ModelInputDataFormat Source # 
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Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Read ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Show ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Generic ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Associated Types

type Rep ModelInputDataFormat :: Type -> Type #

NFData ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

Methods

rnf :: ModelInputDataFormat -> () #

Hashable ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToJSON ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToJSONKey ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

FromJSON ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

FromJSONKey ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToLog ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToHeader ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToQuery ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

FromXML ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToXML ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToByteString ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

FromText ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

ToText ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

type Rep ModelInputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputDataFormat

type Rep ModelInputDataFormat = D1 ('MetaData "ModelInputDataFormat" "Amazonka.FraudDetector.Types.ModelInputDataFormat" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelInputDataFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelInputDataFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelOutputDataFormat

newtype ModelOutputDataFormat Source #

Instances

Instances details
Eq ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Ord ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Read ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Show ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Generic ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Associated Types

type Rep ModelOutputDataFormat :: Type -> Type #

NFData ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

Methods

rnf :: ModelOutputDataFormat -> () #

Hashable ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToJSON ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToJSONKey ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

FromJSON ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

FromJSONKey ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToLog ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToHeader ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToQuery ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

FromXML ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToXML ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToByteString ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

FromText ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

ToText ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

type Rep ModelOutputDataFormat Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputDataFormat

type Rep ModelOutputDataFormat = D1 ('MetaData "ModelOutputDataFormat" "Amazonka.FraudDetector.Types.ModelOutputDataFormat" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelOutputDataFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelOutputDataFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelSource

newtype ModelSource Source #

Constructors

ModelSource' 

Bundled Patterns

pattern ModelSource_SAGEMAKER :: ModelSource 

Instances

Instances details
Eq ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Ord ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Read ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Show ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Generic ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Associated Types

type Rep ModelSource :: Type -> Type #

NFData ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

Methods

rnf :: ModelSource -> () #

Hashable ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

ToJSON ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

ToJSONKey ModelSource Source # 
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Defined in Amazonka.FraudDetector.Types.ModelSource

FromJSON ModelSource Source # 
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Defined in Amazonka.FraudDetector.Types.ModelSource

FromJSONKey ModelSource Source # 
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ToLog ModelSource Source # 
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ToHeader ModelSource Source # 
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ToQuery ModelSource Source # 
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FromXML ModelSource Source # 
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ToXML ModelSource Source # 
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Defined in Amazonka.FraudDetector.Types.ModelSource

Methods

toXML :: ModelSource -> XML #

ToByteString ModelSource Source # 
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Defined in Amazonka.FraudDetector.Types.ModelSource

FromText ModelSource Source # 
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ToText ModelSource Source # 
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Defined in Amazonka.FraudDetector.Types.ModelSource

Methods

toText :: ModelSource -> Text #

type Rep ModelSource Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelSource

type Rep ModelSource = D1 ('MetaData "ModelSource" "Amazonka.FraudDetector.Types.ModelSource" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelTypeEnum

newtype ModelTypeEnum Source #

Constructors

ModelTypeEnum' 

Instances

Instances details
Eq ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Ord ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Read ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Show ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Generic ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Associated Types

type Rep ModelTypeEnum :: Type -> Type #

NFData ModelTypeEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Methods

rnf :: ModelTypeEnum -> () #

Hashable ModelTypeEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToJSON ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToJSONKey ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

FromJSON ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

FromJSONKey ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToLog ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToHeader ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToQuery ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

FromXML ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToXML ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Methods

toXML :: ModelTypeEnum -> XML #

ToByteString ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

FromText ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

ToText ModelTypeEnum Source # 
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Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

Methods

toText :: ModelTypeEnum -> Text #

type Rep ModelTypeEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelTypeEnum

type Rep ModelTypeEnum = D1 ('MetaData "ModelTypeEnum" "Amazonka.FraudDetector.Types.ModelTypeEnum" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelTypeEnum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelTypeEnum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelVersionStatus

newtype ModelVersionStatus Source #

Instances

Instances details
Eq ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Ord ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Read ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Show ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Generic ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Associated Types

type Rep ModelVersionStatus :: Type -> Type #

NFData ModelVersionStatus Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

Methods

rnf :: ModelVersionStatus -> () #

Hashable ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToJSON ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToJSONKey ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

FromJSON ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

FromJSONKey ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToLog ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToHeader ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToQuery ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

FromXML ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToXML ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

ToByteString ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

FromText ModelVersionStatus Source # 
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ToText ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

type Rep ModelVersionStatus Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionStatus

type Rep ModelVersionStatus = D1 ('MetaData "ModelVersionStatus" "Amazonka.FraudDetector.Types.ModelVersionStatus" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "ModelVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RuleExecutionMode

newtype RuleExecutionMode Source #

Instances

Instances details
Eq RuleExecutionMode Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Ord RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Read RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Show RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Generic RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Associated Types

type Rep RuleExecutionMode :: Type -> Type #

NFData RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

Methods

rnf :: RuleExecutionMode -> () #

Hashable RuleExecutionMode Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToJSON RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToJSONKey RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

FromJSON RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

FromJSONKey RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToLog RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToHeader RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToQuery RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

FromXML RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToXML RuleExecutionMode Source # 
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ToByteString RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

FromText RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

ToText RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

type Rep RuleExecutionMode Source # 
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Defined in Amazonka.FraudDetector.Types.RuleExecutionMode

type Rep RuleExecutionMode = D1 ('MetaData "RuleExecutionMode" "Amazonka.FraudDetector.Types.RuleExecutionMode" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "RuleExecutionMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRuleExecutionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingDataSourceEnum

newtype TrainingDataSourceEnum Source #

Instances

Instances details
Eq TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Ord TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Read TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Show TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Generic TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Associated Types

type Rep TrainingDataSourceEnum :: Type -> Type #

NFData TrainingDataSourceEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

Methods

rnf :: TrainingDataSourceEnum -> () #

Hashable TrainingDataSourceEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToJSON TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToJSONKey TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

FromJSON TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

FromJSONKey TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToLog TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToHeader TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToQuery TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

FromXML TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToXML TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToByteString TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

FromText TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

ToText TrainingDataSourceEnum Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

type Rep TrainingDataSourceEnum Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSourceEnum

type Rep TrainingDataSourceEnum = D1 ('MetaData "TrainingDataSourceEnum" "Amazonka.FraudDetector.Types.TrainingDataSourceEnum" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "TrainingDataSourceEnum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingDataSourceEnum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

UnlabeledEventsTreatment

newtype UnlabeledEventsTreatment Source #

Instances

Instances details
Eq UnlabeledEventsTreatment Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Ord UnlabeledEventsTreatment Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Read UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Show UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Generic UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Associated Types

type Rep UnlabeledEventsTreatment :: Type -> Type #

NFData UnlabeledEventsTreatment Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

Hashable UnlabeledEventsTreatment Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToJSON UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToJSONKey UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

FromJSON UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

FromJSONKey UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToLog UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToHeader UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToQuery UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

FromXML UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToXML UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToByteString UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

FromText UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

ToText UnlabeledEventsTreatment Source # 
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Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

type Rep UnlabeledEventsTreatment Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.UnlabeledEventsTreatment

type Rep UnlabeledEventsTreatment = D1 ('MetaData "UnlabeledEventsTreatment" "Amazonka.FraudDetector.Types.UnlabeledEventsTreatment" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'True) (C1 ('MetaCons "UnlabeledEventsTreatment'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromUnlabeledEventsTreatment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BatchCreateVariableError

data BatchCreateVariableError Source #

Provides the error of the batch create variable API.

See: newBatchCreateVariableError smart constructor.

Constructors

BatchCreateVariableError' 

Fields

Instances

Instances details
Eq BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

Read BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

Show BatchCreateVariableError Source # 
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Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

Generic BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

Associated Types

type Rep BatchCreateVariableError :: Type -> Type #

NFData BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

Hashable BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

FromJSON BatchCreateVariableError Source # 
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Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

type Rep BatchCreateVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchCreateVariableError

type Rep BatchCreateVariableError = D1 ('MetaData "BatchCreateVariableError" "Amazonka.FraudDetector.Types.BatchCreateVariableError" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "BatchCreateVariableError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "code") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newBatchCreateVariableError :: BatchCreateVariableError Source #

Create a value of BatchCreateVariableError 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:name:BatchCreateVariableError', batchCreateVariableError_name - The name.

$sel:code:BatchCreateVariableError', batchCreateVariableError_code - The error code.

$sel:message:BatchCreateVariableError', batchCreateVariableError_message - The error message.

BatchGetVariableError

data BatchGetVariableError Source #

Provides the error of the batch get variable API.

See: newBatchGetVariableError smart constructor.

Constructors

BatchGetVariableError' 

Fields

Instances

Instances details
Eq BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

Read BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

Show BatchGetVariableError Source # 
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Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

Generic BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

Associated Types

type Rep BatchGetVariableError :: Type -> Type #

NFData BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

Methods

rnf :: BatchGetVariableError -> () #

Hashable BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

FromJSON BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

type Rep BatchGetVariableError Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchGetVariableError

type Rep BatchGetVariableError = D1 ('MetaData "BatchGetVariableError" "Amazonka.FraudDetector.Types.BatchGetVariableError" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "BatchGetVariableError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "code") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newBatchGetVariableError :: BatchGetVariableError Source #

Create a value of BatchGetVariableError 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:name:BatchGetVariableError', batchGetVariableError_name - The error name.

$sel:code:BatchGetVariableError', batchGetVariableError_code - The error code.

$sel:message:BatchGetVariableError', batchGetVariableError_message - The error message.

BatchImport

data BatchImport Source #

The batch import job details.

See: newBatchImport smart constructor.

Constructors

BatchImport' 

Fields

Instances

Instances details
Eq BatchImport Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchImport

Read BatchImport Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchImport

Show BatchImport Source # 
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Defined in Amazonka.FraudDetector.Types.BatchImport

Generic BatchImport Source # 
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Defined in Amazonka.FraudDetector.Types.BatchImport

Associated Types

type Rep BatchImport :: Type -> Type #

NFData BatchImport Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchImport

Methods

rnf :: BatchImport -> () #

Hashable BatchImport Source # 
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Defined in Amazonka.FraudDetector.Types.BatchImport

FromJSON BatchImport Source # 
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Defined in Amazonka.FraudDetector.Types.BatchImport

type Rep BatchImport Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchImport

type Rep BatchImport = D1 ('MetaData "BatchImport" "Amazonka.FraudDetector.Types.BatchImport" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "BatchImport'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "iamRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncJobStatus)))) :*: (S1 ('MetaSel ('Just "processedRecordsCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: (S1 ('MetaSel ('Just "totalRecordsCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "eventTypeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "completionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "inputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "failedRecordsCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))))

newBatchImport :: BatchImport Source #

Create a value of BatchImport 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:failureReason:BatchImport', batchImport_failureReason - The reason batch import job failed.

$sel:iamRoleArn:BatchImport', batchImport_iamRoleArn - The ARN of the IAM role to use for this job request.

$sel:status:BatchImport', batchImport_status - The status of the batch import job.

$sel:processedRecordsCount:BatchImport', batchImport_processedRecordsCount - The number of records processed by batch import job.

$sel:totalRecordsCount:BatchImport', batchImport_totalRecordsCount - The total number of records in the batch import job.

$sel:jobId:BatchImport', batchImport_jobId - The ID of the batch import job.

$sel:arn:BatchImport', batchImport_arn - The ARN of the batch import job.

$sel:startTime:BatchImport', batchImport_startTime - Timestamp of when the batch import job started.

$sel:eventTypeName:BatchImport', batchImport_eventTypeName - The name of the event type.

$sel:completionTime:BatchImport', batchImport_completionTime - Timestamp of when batch import job completed.

$sel:outputPath:BatchImport', batchImport_outputPath - The Amazon S3 location of your output file.

$sel:inputPath:BatchImport', batchImport_inputPath - The Amazon S3 location of your data file for batch import.

$sel:failedRecordsCount:BatchImport', batchImport_failedRecordsCount - The number of records that failed to import.

batchImport_failureReason :: Lens' BatchImport (Maybe Text) Source #

The reason batch import job failed.

batchImport_iamRoleArn :: Lens' BatchImport (Maybe Text) Source #

The ARN of the IAM role to use for this job request.

batchImport_status :: Lens' BatchImport (Maybe AsyncJobStatus) Source #

The status of the batch import job.

batchImport_processedRecordsCount :: Lens' BatchImport (Maybe Int) Source #

The number of records processed by batch import job.

batchImport_totalRecordsCount :: Lens' BatchImport (Maybe Int) Source #

The total number of records in the batch import job.

batchImport_jobId :: Lens' BatchImport (Maybe Text) Source #

The ID of the batch import job.

batchImport_arn :: Lens' BatchImport (Maybe Text) Source #

The ARN of the batch import job.

batchImport_startTime :: Lens' BatchImport (Maybe Text) Source #

Timestamp of when the batch import job started.

batchImport_eventTypeName :: Lens' BatchImport (Maybe Text) Source #

The name of the event type.

batchImport_completionTime :: Lens' BatchImport (Maybe Text) Source #

Timestamp of when batch import job completed.

batchImport_outputPath :: Lens' BatchImport (Maybe Text) Source #

The Amazon S3 location of your output file.

batchImport_inputPath :: Lens' BatchImport (Maybe Text) Source #

The Amazon S3 location of your data file for batch import.

batchImport_failedRecordsCount :: Lens' BatchImport (Maybe Int) Source #

The number of records that failed to import.

BatchPrediction

data BatchPrediction Source #

The batch prediction details.

See: newBatchPrediction smart constructor.

Constructors

BatchPrediction' 

Fields

Instances

Instances details
Eq BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

Read BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

Show BatchPrediction Source # 
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Defined in Amazonka.FraudDetector.Types.BatchPrediction

Generic BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

Associated Types

type Rep BatchPrediction :: Type -> Type #

NFData BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

Methods

rnf :: BatchPrediction -> () #

Hashable BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

FromJSON BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

type Rep BatchPrediction Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.BatchPrediction

type Rep BatchPrediction = D1 ('MetaData "BatchPrediction" "Amazonka.FraudDetector.Types.BatchPrediction" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "BatchPrediction'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "iamRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncJobStatus)))) :*: ((S1 ('MetaSel ('Just "processedRecordsCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "totalRecordsCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :*: (S1 ('MetaSel ('Just "lastHeartbeatTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: (((S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "eventTypeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "completionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "outputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "detectorName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "detectorVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "inputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newBatchPrediction :: BatchPrediction Source #

Create a value of BatchPrediction 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:failureReason:BatchPrediction', batchPrediction_failureReason - The reason a batch prediction job failed.

$sel:iamRoleArn:BatchPrediction', batchPrediction_iamRoleArn - The ARN of the IAM role to use for this job request.

$sel:status:BatchPrediction', batchPrediction_status - The batch prediction status.

$sel:processedRecordsCount:BatchPrediction', batchPrediction_processedRecordsCount - The number of records processed by the batch prediction job.

$sel:totalRecordsCount:BatchPrediction', batchPrediction_totalRecordsCount - The total number of records in the batch prediction job.

$sel:lastHeartbeatTime:BatchPrediction', batchPrediction_lastHeartbeatTime - Timestamp of most recent heartbeat indicating the batch prediction job was making progress.

$sel:jobId:BatchPrediction', batchPrediction_jobId - The job ID for the batch prediction.

$sel:arn:BatchPrediction', batchPrediction_arn - The ARN of batch prediction job.

$sel:startTime:BatchPrediction', batchPrediction_startTime - Timestamp of when the batch prediction job started.

$sel:eventTypeName:BatchPrediction', batchPrediction_eventTypeName - The name of the event type.

$sel:completionTime:BatchPrediction', batchPrediction_completionTime - Timestamp of when the batch prediction job completed.

$sel:outputPath:BatchPrediction', batchPrediction_outputPath - The Amazon S3 location of your output file.

$sel:detectorName:BatchPrediction', batchPrediction_detectorName - The name of the detector.

$sel:detectorVersion:BatchPrediction', batchPrediction_detectorVersion - The detector version.

$sel:inputPath:BatchPrediction', batchPrediction_inputPath - The Amazon S3 location of your training file.

batchPrediction_failureReason :: Lens' BatchPrediction (Maybe Text) Source #

The reason a batch prediction job failed.

batchPrediction_iamRoleArn :: Lens' BatchPrediction (Maybe Text) Source #

The ARN of the IAM role to use for this job request.

batchPrediction_processedRecordsCount :: Lens' BatchPrediction (Maybe Int) Source #

The number of records processed by the batch prediction job.

batchPrediction_totalRecordsCount :: Lens' BatchPrediction (Maybe Int) Source #

The total number of records in the batch prediction job.

batchPrediction_lastHeartbeatTime :: Lens' BatchPrediction (Maybe Text) Source #

Timestamp of most recent heartbeat indicating the batch prediction job was making progress.

batchPrediction_jobId :: Lens' BatchPrediction (Maybe Text) Source #

The job ID for the batch prediction.

batchPrediction_arn :: Lens' BatchPrediction (Maybe Text) Source #

The ARN of batch prediction job.

batchPrediction_startTime :: Lens' BatchPrediction (Maybe Text) Source #

Timestamp of when the batch prediction job started.

batchPrediction_completionTime :: Lens' BatchPrediction (Maybe Text) Source #

Timestamp of when the batch prediction job completed.

batchPrediction_outputPath :: Lens' BatchPrediction (Maybe Text) Source #

The Amazon S3 location of your output file.

batchPrediction_inputPath :: Lens' BatchPrediction (Maybe Text) Source #

The Amazon S3 location of your training file.

DataValidationMetrics

data DataValidationMetrics Source #

The model training validation messages.

See: newDataValidationMetrics smart constructor.

Constructors

DataValidationMetrics' 

Fields

Instances

Instances details
Eq DataValidationMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

Read DataValidationMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

Show DataValidationMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

Generic DataValidationMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

Associated Types

type Rep DataValidationMetrics :: Type -> Type #

NFData DataValidationMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

Methods

rnf :: DataValidationMetrics -> () #

Hashable DataValidationMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

FromJSON DataValidationMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

type Rep DataValidationMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DataValidationMetrics

type Rep DataValidationMetrics = D1 ('MetaData "DataValidationMetrics" "Amazonka.FraudDetector.Types.DataValidationMetrics" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "DataValidationMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fieldLevelMessages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FieldValidationMessage])) :*: S1 ('MetaSel ('Just "fileLevelMessages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FileValidationMessage]))))

newDataValidationMetrics :: DataValidationMetrics Source #

Create a value of DataValidationMetrics 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:fieldLevelMessages:DataValidationMetrics', dataValidationMetrics_fieldLevelMessages - The field-specific model training validation messages.

$sel:fileLevelMessages:DataValidationMetrics', dataValidationMetrics_fileLevelMessages - The file-specific model training validation messages.

dataValidationMetrics_fieldLevelMessages :: Lens' DataValidationMetrics (Maybe [FieldValidationMessage]) Source #

The field-specific model training validation messages.

dataValidationMetrics_fileLevelMessages :: Lens' DataValidationMetrics (Maybe [FileValidationMessage]) Source #

The file-specific model training validation messages.

Detector

data Detector Source #

The detector.

See: newDetector smart constructor.

Constructors

Detector' 

Fields

Instances

Instances details
Eq Detector Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Detector

Read Detector Source # 
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Defined in Amazonka.FraudDetector.Types.Detector

Show Detector Source # 
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Defined in Amazonka.FraudDetector.Types.Detector

Generic Detector Source # 
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Defined in Amazonka.FraudDetector.Types.Detector

Associated Types

type Rep Detector :: Type -> Type #

Methods

from :: Detector -> Rep Detector x #

to :: Rep Detector x -> Detector #

NFData Detector Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Detector

Methods

rnf :: Detector -> () #

Hashable Detector Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Detector

Methods

hashWithSalt :: Int -> Detector -> Int #

hash :: Detector -> Int #

FromJSON Detector Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Detector

type Rep Detector Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Detector

type Rep Detector = D1 ('MetaData "Detector" "Amazonka.FraudDetector.Types.Detector" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Detector'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "createdTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "eventTypeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "detectorId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDetector :: Detector Source #

Create a value of Detector 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:lastUpdatedTime:Detector', detector_lastUpdatedTime - Timestamp of when the detector was last updated.

$sel:arn:Detector', detector_arn - The detector ARN.

$sel:createdTime:Detector', detector_createdTime - Timestamp of when the detector was created.

$sel:eventTypeName:Detector', detector_eventTypeName - The name of the event type.

$sel:detectorId:Detector', detector_detectorId - The detector ID.

$sel:description:Detector', detector_description - The detector description.

detector_lastUpdatedTime :: Lens' Detector (Maybe Text) Source #

Timestamp of when the detector was last updated.

detector_arn :: Lens' Detector (Maybe Text) Source #

The detector ARN.

detector_createdTime :: Lens' Detector (Maybe Text) Source #

Timestamp of when the detector was created.

detector_eventTypeName :: Lens' Detector (Maybe Text) Source #

The name of the event type.

detector_description :: Lens' Detector (Maybe Text) Source #

The detector description.

DetectorVersionSummary

data DetectorVersionSummary Source #

The summary of the detector version.

See: newDetectorVersionSummary smart constructor.

Constructors

DetectorVersionSummary' 

Fields

Instances

Instances details
Eq DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

Read DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

Show DetectorVersionSummary Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

Generic DetectorVersionSummary Source # 
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Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

Associated Types

type Rep DetectorVersionSummary :: Type -> Type #

NFData DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

Methods

rnf :: DetectorVersionSummary -> () #

Hashable DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

FromJSON DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

type Rep DetectorVersionSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.DetectorVersionSummary

type Rep DetectorVersionSummary = D1 ('MetaData "DetectorVersionSummary" "Amazonka.FraudDetector.Types.DetectorVersionSummary" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "DetectorVersionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DetectorVersionStatus)) :*: S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "detectorVersionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDetectorVersionSummary :: DetectorVersionSummary Source #

Create a value of DetectorVersionSummary 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:status:DetectorVersionSummary', detectorVersionSummary_status - The detector version status.

$sel:lastUpdatedTime:DetectorVersionSummary', detectorVersionSummary_lastUpdatedTime - Timestamp of when the detector version was last updated.

$sel:detectorVersionId:DetectorVersionSummary', detectorVersionSummary_detectorVersionId - The detector version ID.

$sel:description:DetectorVersionSummary', detectorVersionSummary_description - The detector version description.

detectorVersionSummary_lastUpdatedTime :: Lens' DetectorVersionSummary (Maybe Text) Source #

Timestamp of when the detector version was last updated.

Entity

data Entity Source #

The entity details.

See: newEntity smart constructor.

Constructors

Entity' 

Fields

  • entityType :: Text

    The entity type.

  • entityId :: Text

    The entity ID. If you do not know the entityId, you can pass unknown, which is areserved string literal.

Instances

Instances details
Eq Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

Methods

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

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

Show Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

Generic Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

Associated Types

type Rep Entity :: Type -> Type #

Methods

from :: Entity -> Rep Entity x #

to :: Rep Entity x -> Entity #

NFData Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

Methods

rnf :: Entity -> () #

Hashable Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

Methods

hashWithSalt :: Int -> Entity -> Int #

hash :: Entity -> Int #

ToJSON Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

FromJSON Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

type Rep Entity Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Entity

type Rep Entity = D1 ('MetaData "Entity" "Amazonka.FraudDetector.Types.Entity" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Entity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "entityType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "entityId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newEntity Source #

Create a value of Entity 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:entityType:Entity', entity_entityType - The entity type.

$sel:entityId:Entity', entity_entityId - The entity ID. If you do not know the entityId, you can pass unknown, which is areserved string literal.

entity_entityId :: Lens' Entity Text Source #

The entity ID. If you do not know the entityId, you can pass unknown, which is areserved string literal.

EntityType

data EntityType Source #

The entity type details.

See: newEntityType smart constructor.

Constructors

EntityType' 

Fields

Instances

Instances details
Eq EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

Read EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

Show EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

Generic EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

Associated Types

type Rep EntityType :: Type -> Type #

NFData EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

Methods

rnf :: EntityType -> () #

Hashable EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

FromJSON EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

type Rep EntityType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EntityType

type Rep EntityType = D1 ('MetaData "EntityType" "Amazonka.FraudDetector.Types.EntityType" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "EntityType'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "createdTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newEntityType :: EntityType Source #

Create a value of EntityType 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:lastUpdatedTime:EntityType', entityType_lastUpdatedTime - Timestamp of when the entity type was last updated.

$sel:arn:EntityType', entityType_arn - The entity type ARN.

$sel:createdTime:EntityType', entityType_createdTime - Timestamp of when the entity type was created.

$sel:name:EntityType', entityType_name - The entity type name.

$sel:description:EntityType', entityType_description - The entity type description.

entityType_lastUpdatedTime :: Lens' EntityType (Maybe Text) Source #

Timestamp of when the entity type was last updated.

entityType_arn :: Lens' EntityType (Maybe Text) Source #

The entity type ARN.

entityType_createdTime :: Lens' EntityType (Maybe Text) Source #

Timestamp of when the entity type was created.

entityType_name :: Lens' EntityType (Maybe Text) Source #

The entity type name.

entityType_description :: Lens' EntityType (Maybe Text) Source #

The entity type description.

Event

data Event Source #

The event details.

See: newEvent smart constructor.

Constructors

Event' 

Fields

Instances

Instances details
Eq Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

Methods

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

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

Show Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

Methods

showsPrec :: Int -> Event -> ShowS #

show :: Event -> String #

showList :: [Event] -> ShowS #

Generic Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

Associated Types

type Rep Event :: Type -> Type #

Methods

from :: Event -> Rep Event x #

to :: Rep Event x -> Event #

NFData Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

Methods

rnf :: Event -> () #

Hashable Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

Methods

hashWithSalt :: Int -> Event -> Int #

hash :: Event -> Int #

FromJSON Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

type Rep Event Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Event

type Rep Event = D1 ('MetaData "Event" "Amazonka.FraudDetector.Types.Event" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Event'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "eventTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "entities") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Sensitive Entity])) :*: S1 ('MetaSel ('Just "labelTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "eventTypeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "eventVariables") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text (Sensitive Text))))) :*: (S1 ('MetaSel ('Just "currentLabel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "eventId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newEvent :: Event Source #

Create a value of Event 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:eventTimestamp:Event', event_eventTimestamp - The timestamp that defines when the event under evaluation occurred. The timestamp must be specified using ISO 8601 standard in UTC.

$sel:entities:Event', event_entities - The event entities.

$sel:labelTimestamp:Event', event_labelTimestamp - The timestamp associated with the label to update. The timestamp must be specified using ISO 8601 standard in UTC.

$sel:eventTypeName:Event', event_eventTypeName - The event type.

$sel:eventVariables:Event', event_eventVariables - Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation.

$sel:currentLabel:Event', event_currentLabel - The label associated with the event.

$sel:eventId:Event', event_eventId - The event ID.

event_eventTimestamp :: Lens' Event (Maybe Text) Source #

The timestamp that defines when the event under evaluation occurred. The timestamp must be specified using ISO 8601 standard in UTC.

event_entities :: Lens' Event (Maybe [Entity]) Source #

The event entities.

event_labelTimestamp :: Lens' Event (Maybe Text) Source #

The timestamp associated with the label to update. The timestamp must be specified using ISO 8601 standard in UTC.

event_eventVariables :: Lens' Event (Maybe (HashMap Text Text)) Source #

Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation.

event_currentLabel :: Lens' Event (Maybe Text) Source #

The label associated with the event.

EventType

data EventType Source #

The event type details.

See: newEventType smart constructor.

Constructors

EventType' 

Fields

Instances

Instances details
Eq EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

Show EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

Generic EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

Associated Types

type Rep EventType :: Type -> Type #

NFData EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

Methods

rnf :: EventType -> () #

Hashable EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

FromJSON EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

type Rep EventType Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.EventType

newEventType :: EventType Source #

Create a value of EventType 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:lastUpdatedTime:EventType', eventType_lastUpdatedTime - Timestamp of when the event type was last updated.

$sel:arn:EventType', eventType_arn - The entity type ARN.

$sel:createdTime:EventType', eventType_createdTime - Timestamp of when the event type was created.

$sel:entityTypes:EventType', eventType_entityTypes - The event type entity types.

$sel:eventVariables:EventType', eventType_eventVariables - The event type event variables.

$sel:name:EventType', eventType_name - The event type name.

$sel:ingestedEventStatistics:EventType', eventType_ingestedEventStatistics - Data about the stored events.

$sel:labels:EventType', eventType_labels - The event type labels.

$sel:eventIngestion:EventType', eventType_eventIngestion - If Enabled, Amazon Fraud Detector stores event data when you generate a prediction and uses that data to update calculated variables in near real-time. Amazon Fraud Detector uses this data, known as INGESTED_EVENTS, to train your model and improve fraud predictions.

$sel:description:EventType', eventType_description - The event type description.

eventType_lastUpdatedTime :: Lens' EventType (Maybe Text) Source #

Timestamp of when the event type was last updated.

eventType_arn :: Lens' EventType (Maybe Text) Source #

The entity type ARN.

eventType_createdTime :: Lens' EventType (Maybe Text) Source #

Timestamp of when the event type was created.

eventType_entityTypes :: Lens' EventType (Maybe (NonEmpty Text)) Source #

The event type entity types.

eventType_eventVariables :: Lens' EventType (Maybe [Text]) Source #

The event type event variables.

eventType_name :: Lens' EventType (Maybe Text) Source #

The event type name.

eventType_labels :: Lens' EventType (Maybe [Text]) Source #

The event type labels.

eventType_eventIngestion :: Lens' EventType (Maybe EventIngestion) Source #

If Enabled, Amazon Fraud Detector stores event data when you generate a prediction and uses that data to update calculated variables in near real-time. Amazon Fraud Detector uses this data, known as INGESTED_EVENTS, to train your model and improve fraud predictions.

eventType_description :: Lens' EventType (Maybe Text) Source #

The event type description.

ExternalEventsDetail

data ExternalEventsDetail Source #

Details for the external events data used for model version training.

See: newExternalEventsDetail smart constructor.

Constructors

ExternalEventsDetail' 

Fields

Instances

Instances details
Eq ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

Read ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

Show ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

Generic ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

Associated Types

type Rep ExternalEventsDetail :: Type -> Type #

NFData ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

Methods

rnf :: ExternalEventsDetail -> () #

Hashable ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

ToJSON ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

FromJSON ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

type Rep ExternalEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalEventsDetail

type Rep ExternalEventsDetail = D1 ('MetaData "ExternalEventsDetail" "Amazonka.FraudDetector.Types.ExternalEventsDetail" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ExternalEventsDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "dataAccessRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newExternalEventsDetail Source #

Create a value of ExternalEventsDetail 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:dataLocation:ExternalEventsDetail', externalEventsDetail_dataLocation - The Amazon S3 bucket location for the data.

$sel:dataAccessRoleArn:ExternalEventsDetail', externalEventsDetail_dataAccessRoleArn - The ARN of the role that provides Amazon Fraud Detector access to the data location.

externalEventsDetail_dataLocation :: Lens' ExternalEventsDetail Text Source #

The Amazon S3 bucket location for the data.

externalEventsDetail_dataAccessRoleArn :: Lens' ExternalEventsDetail Text Source #

The ARN of the role that provides Amazon Fraud Detector access to the data location.

ExternalModel

data ExternalModel Source #

The Amazon SageMaker model.

See: newExternalModel smart constructor.

Constructors

ExternalModel' 

Fields

Instances

Instances details
Eq ExternalModel Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModel

Read ExternalModel Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModel

Show ExternalModel Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModel

Generic ExternalModel Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModel

Associated Types

type Rep ExternalModel :: Type -> Type #

NFData ExternalModel Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModel

Methods

rnf :: ExternalModel -> () #

Hashable ExternalModel Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModel

FromJSON ExternalModel Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModel

type Rep ExternalModel Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModel

newExternalModel :: ExternalModel Source #

Create a value of ExternalModel 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:modelEndpoint:ExternalModel', externalModel_modelEndpoint - The Amazon SageMaker model endpoints.

$sel:modelSource:ExternalModel', externalModel_modelSource - The source of the model.

$sel:lastUpdatedTime:ExternalModel', externalModel_lastUpdatedTime - Timestamp of when the model was last updated.

$sel:arn:ExternalModel', externalModel_arn - The model ARN.

$sel:createdTime:ExternalModel', externalModel_createdTime - Timestamp of when the model was last created.

$sel:modelEndpointStatus:ExternalModel', externalModel_modelEndpointStatus - The Amazon Fraud Detector status for the external model endpoint

$sel:outputConfiguration:ExternalModel', externalModel_outputConfiguration - The output configuration.

$sel:invokeModelEndpointRoleArn:ExternalModel', externalModel_invokeModelEndpointRoleArn - The role used to invoke the model.

$sel:inputConfiguration:ExternalModel', externalModel_inputConfiguration - The input configuration.

externalModel_modelEndpoint :: Lens' ExternalModel (Maybe Text) Source #

The Amazon SageMaker model endpoints.

externalModel_lastUpdatedTime :: Lens' ExternalModel (Maybe Text) Source #

Timestamp of when the model was last updated.

externalModel_createdTime :: Lens' ExternalModel (Maybe Text) Source #

Timestamp of when the model was last created.

externalModel_modelEndpointStatus :: Lens' ExternalModel (Maybe ModelEndpointStatus) Source #

The Amazon Fraud Detector status for the external model endpoint

ExternalModelOutputs

data ExternalModelOutputs Source #

The fraud prediction scores from Amazon SageMaker model.

See: newExternalModelOutputs smart constructor.

Constructors

ExternalModelOutputs' 

Fields

Instances

Instances details
Eq ExternalModelOutputs Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

Read ExternalModelOutputs Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

Show ExternalModelOutputs Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

Generic ExternalModelOutputs Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

Associated Types

type Rep ExternalModelOutputs :: Type -> Type #

NFData ExternalModelOutputs Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

Methods

rnf :: ExternalModelOutputs -> () #

Hashable ExternalModelOutputs Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

FromJSON ExternalModelOutputs Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

type Rep ExternalModelOutputs Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModelOutputs

type Rep ExternalModelOutputs = D1 ('MetaData "ExternalModelOutputs" "Amazonka.FraudDetector.Types.ExternalModelOutputs" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ExternalModelOutputs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "externalModel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExternalModelSummary)) :*: S1 ('MetaSel ('Just "outputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))

newExternalModelOutputs :: ExternalModelOutputs Source #

Create a value of ExternalModelOutputs 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:externalModel:ExternalModelOutputs', externalModelOutputs_externalModel - The Amazon SageMaker model.

$sel:outputs:ExternalModelOutputs', externalModelOutputs_outputs - The fraud prediction scores from Amazon SageMaker model.

externalModelOutputs_outputs :: Lens' ExternalModelOutputs (Maybe (HashMap Text Text)) Source #

The fraud prediction scores from Amazon SageMaker model.

ExternalModelSummary

data ExternalModelSummary Source #

The Amazon SageMaker model.

See: newExternalModelSummary smart constructor.

Constructors

ExternalModelSummary' 

Fields

Instances

Instances details
Eq ExternalModelSummary Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelSummary

Read ExternalModelSummary Source # 
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Show ExternalModelSummary Source # 
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Generic ExternalModelSummary Source # 
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Associated Types

type Rep ExternalModelSummary :: Type -> Type #

NFData ExternalModelSummary Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelSummary

Methods

rnf :: ExternalModelSummary -> () #

Hashable ExternalModelSummary Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelSummary

FromJSON ExternalModelSummary Source # 
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Defined in Amazonka.FraudDetector.Types.ExternalModelSummary

type Rep ExternalModelSummary Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ExternalModelSummary

type Rep ExternalModelSummary = D1 ('MetaData "ExternalModelSummary" "Amazonka.FraudDetector.Types.ExternalModelSummary" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ExternalModelSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelSource))))

newExternalModelSummary :: ExternalModelSummary Source #

Create a value of ExternalModelSummary 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:modelEndpoint:ExternalModelSummary', externalModelSummary_modelEndpoint - The endpoint of the Amazon SageMaker model.

$sel:modelSource:ExternalModelSummary', externalModelSummary_modelSource - The source of the model.

externalModelSummary_modelEndpoint :: Lens' ExternalModelSummary (Maybe Text) Source #

The endpoint of the Amazon SageMaker model.

FieldValidationMessage

data FieldValidationMessage Source #

The message details.

See: newFieldValidationMessage smart constructor.

Constructors

FieldValidationMessage' 

Fields

Instances

Instances details
Eq FieldValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

Read FieldValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

Show FieldValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

Generic FieldValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

Associated Types

type Rep FieldValidationMessage :: Type -> Type #

NFData FieldValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

Methods

rnf :: FieldValidationMessage -> () #

Hashable FieldValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

FromJSON FieldValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

type Rep FieldValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FieldValidationMessage

type Rep FieldValidationMessage = D1 ('MetaData "FieldValidationMessage" "Amazonka.FraudDetector.Types.FieldValidationMessage" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "FieldValidationMessage'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "identifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "fieldName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "title") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFieldValidationMessage :: FieldValidationMessage Source #

Create a value of FieldValidationMessage 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:identifier:FieldValidationMessage', fieldValidationMessage_identifier - The message ID.

$sel:content:FieldValidationMessage', fieldValidationMessage_content - The message content.

$sel:fieldName:FieldValidationMessage', fieldValidationMessage_fieldName - The field name.

$sel:title:FieldValidationMessage', fieldValidationMessage_title - The message title.

$sel:type':FieldValidationMessage', fieldValidationMessage_type - The message type.

FileValidationMessage

data FileValidationMessage Source #

The message details.

See: newFileValidationMessage smart constructor.

Constructors

FileValidationMessage' 

Fields

Instances

Instances details
Eq FileValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FileValidationMessage

Read FileValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FileValidationMessage

Show FileValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FileValidationMessage

Generic FileValidationMessage Source # 
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Defined in Amazonka.FraudDetector.Types.FileValidationMessage

Associated Types

type Rep FileValidationMessage :: Type -> Type #

NFData FileValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FileValidationMessage

Methods

rnf :: FileValidationMessage -> () #

Hashable FileValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FileValidationMessage

FromJSON FileValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FileValidationMessage

type Rep FileValidationMessage Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.FileValidationMessage

type Rep FileValidationMessage = D1 ('MetaData "FileValidationMessage" "Amazonka.FraudDetector.Types.FileValidationMessage" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "FileValidationMessage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "title") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newFileValidationMessage :: FileValidationMessage Source #

Create a value of FileValidationMessage 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:content:FileValidationMessage', fileValidationMessage_content - The message content.

$sel:title:FileValidationMessage', fileValidationMessage_title - The message title.

$sel:type':FileValidationMessage', fileValidationMessage_type - The message type.

IngestedEventStatistics

data IngestedEventStatistics Source #

Data about the stored events.

See: newIngestedEventStatistics smart constructor.

Constructors

IngestedEventStatistics' 

Fields

Instances

Instances details
Eq IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

Read IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

Show IngestedEventStatistics Source # 
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Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

Generic IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

Associated Types

type Rep IngestedEventStatistics :: Type -> Type #

NFData IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

Methods

rnf :: IngestedEventStatistics -> () #

Hashable IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

FromJSON IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

type Rep IngestedEventStatistics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventStatistics

type Rep IngestedEventStatistics = D1 ('MetaData "IngestedEventStatistics" "Amazonka.FraudDetector.Types.IngestedEventStatistics" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "IngestedEventStatistics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "eventDataSizeInBytes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "mostRecentEvent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "numberOfEvents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "leastRecentEvent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newIngestedEventStatistics :: IngestedEventStatistics Source #

Create a value of IngestedEventStatistics 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:eventDataSizeInBytes:IngestedEventStatistics', ingestedEventStatistics_eventDataSizeInBytes - The total size of the stored events.

$sel:mostRecentEvent:IngestedEventStatistics', ingestedEventStatistics_mostRecentEvent - The newest stored event.

$sel:lastUpdatedTime:IngestedEventStatistics', ingestedEventStatistics_lastUpdatedTime - Timestamp of when the stored event was last updated.

$sel:numberOfEvents:IngestedEventStatistics', ingestedEventStatistics_numberOfEvents - The number of stored events.

$sel:leastRecentEvent:IngestedEventStatistics', ingestedEventStatistics_leastRecentEvent - The oldest stored event.

ingestedEventStatistics_lastUpdatedTime :: Lens' IngestedEventStatistics (Maybe Text) Source #

Timestamp of when the stored event was last updated.

IngestedEventsDetail

data IngestedEventsDetail Source #

The details of the ingested event.

See: newIngestedEventsDetail smart constructor.

Constructors

IngestedEventsDetail' 

Fields

Instances

Instances details
Eq IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

Read IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

Show IngestedEventsDetail Source # 
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Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

Generic IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

Associated Types

type Rep IngestedEventsDetail :: Type -> Type #

NFData IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

Methods

rnf :: IngestedEventsDetail -> () #

Hashable IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

ToJSON IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

FromJSON IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

type Rep IngestedEventsDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsDetail

type Rep IngestedEventsDetail = D1 ('MetaData "IngestedEventsDetail" "Amazonka.FraudDetector.Types.IngestedEventsDetail" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "IngestedEventsDetail'" 'PrefixI 'True) (S1 ('MetaSel ('Just "ingestedEventsTimeWindow") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 IngestedEventsTimeWindow)))

newIngestedEventsDetail Source #

Create a value of IngestedEventsDetail 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:ingestedEventsTimeWindow:IngestedEventsDetail', ingestedEventsDetail_ingestedEventsTimeWindow - The start and stop time of the ingested events.

IngestedEventsTimeWindow

data IngestedEventsTimeWindow Source #

The start and stop time of the ingested events.

See: newIngestedEventsTimeWindow smart constructor.

Constructors

IngestedEventsTimeWindow' 

Fields

Instances

Instances details
Eq IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

Read IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

Show IngestedEventsTimeWindow Source # 
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Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

Generic IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

Associated Types

type Rep IngestedEventsTimeWindow :: Type -> Type #

NFData IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

Hashable IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

ToJSON IngestedEventsTimeWindow Source # 
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Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

FromJSON IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

type Rep IngestedEventsTimeWindow Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.IngestedEventsTimeWindow

type Rep IngestedEventsTimeWindow = D1 ('MetaData "IngestedEventsTimeWindow" "Amazonka.FraudDetector.Types.IngestedEventsTimeWindow" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "IngestedEventsTimeWindow'" 'PrefixI 'True) (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newIngestedEventsTimeWindow Source #

Create a value of IngestedEventsTimeWindow 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:startTime:IngestedEventsTimeWindow', ingestedEventsTimeWindow_startTime - Timestamp of the first ingensted event.

$sel:endTime:IngestedEventsTimeWindow', ingestedEventsTimeWindow_endTime - Timestamp of the final ingested event.

KMSKey

data KMSKey Source #

The KMS key details.

See: newKMSKey smart constructor.

Constructors

KMSKey' 

Fields

Instances

Instances details
Eq KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

Methods

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

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

Read KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

Show KMSKey Source # 
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Defined in Amazonka.FraudDetector.Types.KMSKey

Generic KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

Associated Types

type Rep KMSKey :: Type -> Type #

Methods

from :: KMSKey -> Rep KMSKey x #

to :: Rep KMSKey x -> KMSKey #

NFData KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

Methods

rnf :: KMSKey -> () #

Hashable KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

Methods

hashWithSalt :: Int -> KMSKey -> Int #

hash :: KMSKey -> Int #

FromJSON KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

type Rep KMSKey Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.KMSKey

type Rep KMSKey = D1 ('MetaData "KMSKey" "Amazonka.FraudDetector.Types.KMSKey" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "KMSKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsEncryptionKeyArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newKMSKey :: KMSKey Source #

Create a value of KMSKey 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:kmsEncryptionKeyArn:KMSKey', kmsKey_kmsEncryptionKeyArn - The encryption key ARN.

Label

data Label Source #

The label details.

See: newLabel smart constructor.

Constructors

Label' 

Fields

Instances

Instances details
Eq Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Methods

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

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

Read Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Show Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Methods

showsPrec :: Int -> Label -> ShowS #

show :: Label -> String #

showList :: [Label] -> ShowS #

Generic Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Associated Types

type Rep Label :: Type -> Type #

Methods

from :: Label -> Rep Label x #

to :: Rep Label x -> Label #

NFData Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Methods

rnf :: Label -> () #

Hashable Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

Methods

hashWithSalt :: Int -> Label -> Int #

hash :: Label -> Int #

FromJSON Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

type Rep Label Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Label

type Rep Label = D1 ('MetaData "Label" "Amazonka.FraudDetector.Types.Label" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Label'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "createdTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newLabel :: Label Source #

Create a value of Label 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:lastUpdatedTime:Label', label_lastUpdatedTime - Timestamp of when the label was last updated.

$sel:arn:Label', label_arn - The label ARN.

$sel:createdTime:Label', label_createdTime - Timestamp of when the event type was created.

$sel:name:Label', label_name - The label name.

$sel:description:Label', label_description - The label description.

label_lastUpdatedTime :: Lens' Label (Maybe Text) Source #

Timestamp of when the label was last updated.

label_arn :: Lens' Label (Maybe Text) Source #

The label ARN.

label_createdTime :: Lens' Label (Maybe Text) Source #

Timestamp of when the event type was created.

label_name :: Lens' Label (Maybe Text) Source #

The label name.

label_description :: Lens' Label (Maybe Text) Source #

The label description.

LabelSchema

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

Read LabelSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LabelSchema

Show LabelSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LabelSchema

Generic LabelSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LabelSchema

Associated Types

type Rep LabelSchema :: Type -> Type #

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

ToJSON LabelSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LabelSchema

FromJSON LabelSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.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_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.

LogOddsMetric

data LogOddsMetric Source #

The log odds metric details.

See: newLogOddsMetric smart constructor.

Constructors

LogOddsMetric' 

Fields

Instances

Instances details
Eq LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

Read LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

Show LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

Generic LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

Associated Types

type Rep LogOddsMetric :: Type -> Type #

NFData LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

Methods

rnf :: LogOddsMetric -> () #

Hashable LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

FromJSON LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

type Rep LogOddsMetric Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.LogOddsMetric

type Rep LogOddsMetric = D1 ('MetaData "LogOddsMetric" "Amazonka.FraudDetector.Types.LogOddsMetric" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "LogOddsMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "variableName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "variableType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "variableImportance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

newLogOddsMetric Source #

Create a value of LogOddsMetric 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:variableName:LogOddsMetric', logOddsMetric_variableName - The name of the variable.

$sel:variableType:LogOddsMetric', logOddsMetric_variableType - The type of variable.

$sel:variableImportance:LogOddsMetric', logOddsMetric_variableImportance - The relative importance of the variable. For more information, see Model variable importance.

logOddsMetric_variableImportance :: Lens' LogOddsMetric Double Source #

The relative importance of the variable. For more information, see Model variable importance.

MetricDataPoint

data MetricDataPoint Source #

Model performance metrics data points.

See: newMetricDataPoint smart constructor.

Constructors

MetricDataPoint' 

Fields

  • precision :: Maybe Double

    The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.

  • fpr :: Maybe Double

    The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.

  • threshold :: Maybe Double

    The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

  • tpr :: Maybe Double

    The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.

Instances

Instances details
Eq MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

Read MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

Show MetricDataPoint Source # 
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Defined in Amazonka.FraudDetector.Types.MetricDataPoint

Generic MetricDataPoint Source # 
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Defined in Amazonka.FraudDetector.Types.MetricDataPoint

Associated Types

type Rep MetricDataPoint :: Type -> Type #

NFData MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

Methods

rnf :: MetricDataPoint -> () #

Hashable MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

FromJSON MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

type Rep MetricDataPoint Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.MetricDataPoint

type Rep MetricDataPoint = D1 ('MetaData "MetricDataPoint" "Amazonka.FraudDetector.Types.MetricDataPoint" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "MetricDataPoint'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "precision") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "fpr") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :*: (S1 ('MetaSel ('Just "threshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "tpr") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newMetricDataPoint :: MetricDataPoint Source #

Create a value of MetricDataPoint 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:precision:MetricDataPoint', metricDataPoint_precision - The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.

$sel:fpr:MetricDataPoint', metricDataPoint_fpr - The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.

$sel:threshold:MetricDataPoint', metricDataPoint_threshold - The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

$sel:tpr:MetricDataPoint', metricDataPoint_tpr - The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.

metricDataPoint_precision :: Lens' MetricDataPoint (Maybe Double) Source #

The percentage of fraud events correctly predicted as fraudulent as compared to all events predicted as fraudulent.

metricDataPoint_fpr :: Lens' MetricDataPoint (Maybe Double) Source #

The false positive rate. This is the percentage of total legitimate events that are incorrectly predicted as fraud.

metricDataPoint_threshold :: Lens' MetricDataPoint (Maybe Double) Source #

The model threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

metricDataPoint_tpr :: Lens' MetricDataPoint (Maybe Double) Source #

The true positive rate. This is the percentage of total fraud the model detects. Also known as capture rate.

Model

data Model Source #

The model.

See: newModel smart constructor.

Constructors

Model' 

Fields

Instances

Instances details
Eq Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

Methods

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

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

Read Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

Show Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

Methods

showsPrec :: Int -> Model -> ShowS #

show :: Model -> String #

showList :: [Model] -> ShowS #

Generic Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

Associated Types

type Rep Model :: Type -> Type #

Methods

from :: Model -> Rep Model x #

to :: Rep Model x -> Model #

NFData Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

Methods

rnf :: Model -> () #

Hashable Model Source # 
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Defined in Amazonka.FraudDetector.Types.Model

Methods

hashWithSalt :: Int -> Model -> Int #

hash :: Model -> Int #

FromJSON Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

type Rep Model Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Model

newModel :: Model Source #

Create a value of Model 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:modelType:Model', model_modelType - The model type.

$sel:lastUpdatedTime:Model', model_lastUpdatedTime - Timestamp of last time the model was updated.

$sel:modelId:Model', model_modelId - The model ID.

$sel:arn:Model', model_arn - The ARN of the model.

$sel:createdTime:Model', model_createdTime - Timestamp of when the model was created.

$sel:eventTypeName:Model', model_eventTypeName - The name of the event type.

$sel:description:Model', model_description - The model description.

model_lastUpdatedTime :: Lens' Model (Maybe Text) Source #

Timestamp of last time the model was updated.

model_arn :: Lens' Model (Maybe Text) Source #

The ARN of the model.

model_createdTime :: Lens' Model (Maybe Text) Source #

Timestamp of when the model was created.

model_eventTypeName :: Lens' Model (Maybe Text) Source #

The name of the event type.

model_description :: Lens' Model (Maybe Text) Source #

The model description.

ModelEndpointDataBlob

data ModelEndpointDataBlob Source #

A pre-formed Amazon SageMaker model input you can include if your detector version includes an imported Amazon SageMaker model endpoint with pass-through input configuration.

See: newModelEndpointDataBlob smart constructor.

Constructors

ModelEndpointDataBlob' 

Fields

Instances

Instances details
Eq ModelEndpointDataBlob Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

Read ModelEndpointDataBlob Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

Show ModelEndpointDataBlob Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

Generic ModelEndpointDataBlob Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

Associated Types

type Rep ModelEndpointDataBlob :: Type -> Type #

NFData ModelEndpointDataBlob Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

Methods

rnf :: ModelEndpointDataBlob -> () #

Hashable ModelEndpointDataBlob Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

ToJSON ModelEndpointDataBlob Source # 
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Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

type Rep ModelEndpointDataBlob Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelEndpointDataBlob

type Rep ModelEndpointDataBlob = D1 ('MetaData "ModelEndpointDataBlob" "Amazonka.FraudDetector.Types.ModelEndpointDataBlob" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelEndpointDataBlob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "byteBuffer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Base64)) :*: S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelEndpointDataBlob :: ModelEndpointDataBlob Source #

Create a value of ModelEndpointDataBlob 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:byteBuffer:ModelEndpointDataBlob', modelEndpointDataBlob_byteBuffer - The byte buffer of the Amazon SageMaker model endpoint input data blob.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

$sel:contentType:ModelEndpointDataBlob', modelEndpointDataBlob_contentType - The content type of the Amazon SageMaker model endpoint input data blob.

modelEndpointDataBlob_byteBuffer :: Lens' ModelEndpointDataBlob (Maybe ByteString) Source #

The byte buffer of the Amazon SageMaker model endpoint input data blob.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

modelEndpointDataBlob_contentType :: Lens' ModelEndpointDataBlob (Maybe Text) Source #

The content type of the Amazon SageMaker model endpoint input data blob.

ModelInputConfiguration

data ModelInputConfiguration Source #

The Amazon SageMaker model input configuration.

See: newModelInputConfiguration smart constructor.

Constructors

ModelInputConfiguration' 

Fields

  • format :: Maybe ModelInputDataFormat

    The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

  • eventTypeName :: Maybe Text

    The event type name.

  • csvInputTemplate :: Maybe Text

    Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

  • jsonInputTemplate :: Maybe Text

    Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

  • useEventVariables :: Bool

    The event variables.

Instances

Instances details
Eq ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

Read ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

Show ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

Generic ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

Associated Types

type Rep ModelInputConfiguration :: Type -> Type #

NFData ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

Methods

rnf :: ModelInputConfiguration -> () #

Hashable ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

ToJSON ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

FromJSON ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

type Rep ModelInputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelInputConfiguration

type Rep ModelInputConfiguration = D1 ('MetaData "ModelInputConfiguration" "Amazonka.FraudDetector.Types.ModelInputConfiguration" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelInputConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelInputDataFormat)) :*: S1 ('MetaSel ('Just "eventTypeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "csvInputTemplate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "jsonInputTemplate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "useEventVariables") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Bool)))))

newModelInputConfiguration Source #

Create a value of ModelInputConfiguration 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:format:ModelInputConfiguration', modelInputConfiguration_format - The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

$sel:eventTypeName:ModelInputConfiguration', modelInputConfiguration_eventTypeName - The event type name.

$sel:csvInputTemplate:ModelInputConfiguration', modelInputConfiguration_csvInputTemplate - Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

$sel:jsonInputTemplate:ModelInputConfiguration', modelInputConfiguration_jsonInputTemplate - Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

$sel:useEventVariables:ModelInputConfiguration', modelInputConfiguration_useEventVariables - The event variables.

modelInputConfiguration_format :: Lens' ModelInputConfiguration (Maybe ModelInputDataFormat) Source #

The format of the model input configuration. The format differs depending on if it is passed through to SageMaker or constructed by Amazon Fraud Detector.

modelInputConfiguration_csvInputTemplate :: Lens' ModelInputConfiguration (Maybe Text) Source #

Template for constructing the CSV input-data sent to SageMaker. At event-evaluation, the placeholders for variable-names in the template will be replaced with the variable values before being sent to SageMaker.

modelInputConfiguration_jsonInputTemplate :: Lens' ModelInputConfiguration (Maybe Text) Source #

Template for constructing the JSON input-data sent to SageMaker. At event-evaluation, the placeholders for variable names in the template will be replaced with the variable values before being sent to SageMaker.

ModelOutputConfiguration

data ModelOutputConfiguration Source #

Provides the Amazon Sagemaker model output configuration.

See: newModelOutputConfiguration smart constructor.

Constructors

ModelOutputConfiguration' 

Fields

Instances

Instances details
Eq ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

Read ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

Show ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

Generic ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

Associated Types

type Rep ModelOutputConfiguration :: Type -> Type #

NFData ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

Hashable ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

ToJSON ModelOutputConfiguration Source # 
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Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

FromJSON ModelOutputConfiguration Source # 
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Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

type Rep ModelOutputConfiguration Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelOutputConfiguration

type Rep ModelOutputConfiguration = D1 ('MetaData "ModelOutputConfiguration" "Amazonka.FraudDetector.Types.ModelOutputConfiguration" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelOutputConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jsonKeyToVariableMap") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "csvIndexToVariableMap") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "format") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelOutputDataFormat))))

newModelOutputConfiguration Source #

Create a value of ModelOutputConfiguration 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:jsonKeyToVariableMap:ModelOutputConfiguration', modelOutputConfiguration_jsonKeyToVariableMap - A map of JSON keys in response from SageMaker to the Amazon Fraud Detector variables.

$sel:csvIndexToVariableMap:ModelOutputConfiguration', modelOutputConfiguration_csvIndexToVariableMap - A map of CSV index values in the SageMaker response to the Amazon Fraud Detector variables.

$sel:format:ModelOutputConfiguration', modelOutputConfiguration_format - The format of the model output configuration.

modelOutputConfiguration_jsonKeyToVariableMap :: Lens' ModelOutputConfiguration (Maybe (HashMap Text Text)) Source #

A map of JSON keys in response from SageMaker to the Amazon Fraud Detector variables.

modelOutputConfiguration_csvIndexToVariableMap :: Lens' ModelOutputConfiguration (Maybe (HashMap Text Text)) Source #

A map of CSV index values in the SageMaker response to the Amazon Fraud Detector variables.

ModelScores

data ModelScores Source #

The fraud prediction scores.

See: newModelScores smart constructor.

Constructors

ModelScores' 

Fields

Instances

Instances details
Eq ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

Read ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

Show ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

Generic ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

Associated Types

type Rep ModelScores :: Type -> Type #

NFData ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

Methods

rnf :: ModelScores -> () #

Hashable ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

FromJSON ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

type Rep ModelScores Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelScores

type Rep ModelScores = D1 ('MetaData "ModelScores" "Amazonka.FraudDetector.Types.ModelScores" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelScores'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelVersion)) :*: S1 ('MetaSel ('Just "scores") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Double)))))

newModelScores :: ModelScores Source #

Create a value of ModelScores 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:modelVersion:ModelScores', modelScores_modelVersion - The model version.

$sel:scores:ModelScores', modelScores_scores - The model's fraud prediction scores.

modelScores_scores :: Lens' ModelScores (Maybe (HashMap Text Double)) Source #

The model's fraud prediction scores.

ModelVersion

data ModelVersion Source #

The model version.

See: newModelVersion smart constructor.

Constructors

ModelVersion' 

Fields

Instances

Instances details
Eq ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

Read ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

Show ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

Generic ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

Associated Types

type Rep ModelVersion :: Type -> Type #

NFData ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

Methods

rnf :: ModelVersion -> () #

Hashable ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

ToJSON ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

FromJSON ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

type Rep ModelVersion Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersion

type Rep ModelVersion = D1 ('MetaData "ModelVersion" "Amazonka.FraudDetector.Types.ModelVersion" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelVersion'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "modelType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelTypeEnum) :*: S1 ('MetaSel ('Just "modelVersionNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newModelVersion Source #

Create a value of ModelVersion 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:arn:ModelVersion', modelVersion_arn - The model version ARN.

$sel:modelId:ModelVersion', modelVersion_modelId - The model ID.

$sel:modelType:ModelVersion', modelVersion_modelType - The model type.

$sel:modelVersionNumber:ModelVersion', modelVersion_modelVersionNumber - The model version number.

modelVersion_arn :: Lens' ModelVersion (Maybe Text) Source #

The model version ARN.

ModelVersionDetail

data ModelVersionDetail Source #

The details of the model version.

See: newModelVersionDetail smart constructor.

Constructors

ModelVersionDetail' 

Fields

Instances

Instances details
Eq ModelVersionDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

Read ModelVersionDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

Show ModelVersionDetail Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

Generic ModelVersionDetail Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

Associated Types

type Rep ModelVersionDetail :: Type -> Type #

NFData ModelVersionDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

Methods

rnf :: ModelVersionDetail -> () #

Hashable ModelVersionDetail Source # 
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Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

FromJSON ModelVersionDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

type Rep ModelVersionDetail Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.ModelVersionDetail

type Rep ModelVersionDetail = D1 ('MetaData "ModelVersionDetail" "Amazonka.FraudDetector.Types.ModelVersionDetail" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "ModelVersionDetail'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelTypeEnum)) :*: S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "modelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingDataSourceEnum))))) :*: ((S1 ('MetaSel ('Just "createdTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "externalEventsDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExternalEventsDetail)) :*: S1 ('MetaSel ('Just "ingestedEventsDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe IngestedEventsDetail)))) :*: (S1 ('MetaSel ('Just "modelVersionNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trainingResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingResult)) :*: S1 ('MetaSel ('Just "trainingDataSchema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingDataSchema)))))))

newModelVersionDetail :: ModelVersionDetail Source #

Create a value of ModelVersionDetail 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:status:ModelVersionDetail', modelVersionDetail_status - The status of the model version.

$sel:modelType:ModelVersionDetail', modelVersionDetail_modelType - The model type.

$sel:lastUpdatedTime:ModelVersionDetail', modelVersionDetail_lastUpdatedTime - The timestamp when the model was last updated.

$sel:modelId:ModelVersionDetail', modelVersionDetail_modelId - The model ID.

$sel:arn:ModelVersionDetail', modelVersionDetail_arn - The model version ARN.

$sel:trainingDataSource:ModelVersionDetail', modelVersionDetail_trainingDataSource - The model version training data source.

$sel:createdTime:ModelVersionDetail', modelVersionDetail_createdTime - The timestamp when the model was created.

$sel:externalEventsDetail:ModelVersionDetail', modelVersionDetail_externalEventsDetail - The external events data details. This will be populated if the trainingDataSource for the model version is specified as EXTERNAL_EVENTS.

$sel:ingestedEventsDetail:ModelVersionDetail', modelVersionDetail_ingestedEventsDetail - The ingested events data details. This will be populated if the trainingDataSource for the model version is specified as INGESTED_EVENTS.

$sel:modelVersionNumber:ModelVersionDetail', modelVersionDetail_modelVersionNumber - The model version number.

$sel:trainingResult:ModelVersionDetail', modelVersionDetail_trainingResult - The training results.

$sel:trainingDataSchema:ModelVersionDetail', modelVersionDetail_trainingDataSchema - The training data schema.

modelVersionDetail_status :: Lens' ModelVersionDetail (Maybe Text) Source #

The status of the model version.

modelVersionDetail_lastUpdatedTime :: Lens' ModelVersionDetail (Maybe Text) Source #

The timestamp when the model was last updated.

modelVersionDetail_createdTime :: Lens' ModelVersionDetail (Maybe Text) Source #

The timestamp when the model was created.

modelVersionDetail_externalEventsDetail :: Lens' ModelVersionDetail (Maybe ExternalEventsDetail) Source #

The external events data details. This will be populated if the trainingDataSource for the model version is specified as EXTERNAL_EVENTS.

modelVersionDetail_ingestedEventsDetail :: Lens' ModelVersionDetail (Maybe IngestedEventsDetail) Source #

The ingested events data details. This will be populated if the trainingDataSource for the model version is specified as INGESTED_EVENTS.

Outcome

data Outcome Source #

The outcome.

See: newOutcome smart constructor.

Constructors

Outcome' 

Fields

Instances

Instances details
Eq Outcome Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Outcome

Methods

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

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

Read Outcome Source # 
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Defined in Amazonka.FraudDetector.Types.Outcome

Show Outcome Source # 
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Defined in Amazonka.FraudDetector.Types.Outcome

Generic Outcome Source # 
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Defined in Amazonka.FraudDetector.Types.Outcome

Associated Types

type Rep Outcome :: Type -> Type #

Methods

from :: Outcome -> Rep Outcome x #

to :: Rep Outcome x -> Outcome #

NFData Outcome Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Outcome

Methods

rnf :: Outcome -> () #

Hashable Outcome Source # 
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Defined in Amazonka.FraudDetector.Types.Outcome

Methods

hashWithSalt :: Int -> Outcome -> Int #

hash :: Outcome -> Int #

FromJSON Outcome Source # 
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Defined in Amazonka.FraudDetector.Types.Outcome

type Rep Outcome Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Outcome

type Rep Outcome = D1 ('MetaData "Outcome" "Amazonka.FraudDetector.Types.Outcome" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Outcome'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastUpdatedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "createdTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newOutcome :: Outcome Source #

Create a value of Outcome 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:lastUpdatedTime:Outcome', outcome_lastUpdatedTime - The timestamp when the outcome was last updated.

$sel:arn:Outcome', outcome_arn - The outcome ARN.

$sel:createdTime:Outcome', outcome_createdTime - The timestamp when the outcome was created.

$sel:name:Outcome', outcome_name - The outcome name.

$sel:description:Outcome', outcome_description - The outcome description.

outcome_lastUpdatedTime :: Lens' Outcome (Maybe Text) Source #

The timestamp when the outcome was last updated.

outcome_arn :: Lens' Outcome (Maybe Text) Source #

The outcome ARN.

outcome_createdTime :: Lens' Outcome (Maybe Text) Source #

The timestamp when the outcome was created.

outcome_name :: Lens' Outcome (Maybe Text) Source #

The outcome name.

outcome_description :: Lens' Outcome (Maybe Text) Source #

The outcome description.

Rule

data Rule Source #

A rule.

See: newRule smart constructor.

Constructors

Rule' 

Fields

Instances

Instances details
Eq Rule Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Rule

Methods

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

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

Read Rule Source # 
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Show Rule Source # 
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Methods

showsPrec :: Int -> Rule -> ShowS #

show :: Rule -> String #

showList :: [Rule] -> ShowS #

Generic Rule Source # 
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Defined in Amazonka.FraudDetector.Types.Rule

Associated Types

type Rep Rule :: Type -> Type #

Methods

from :: Rule -> Rep Rule x #

to :: Rep Rule x -> Rule #

NFData Rule Source # 
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Defined in Amazonka.FraudDetector.Types.Rule

Methods

rnf :: Rule -> () #

Hashable Rule Source # 
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Methods

hashWithSalt :: Int -> Rule -> Int #

hash :: Rule -> Int #

ToJSON Rule Source # 
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Defined in Amazonka.FraudDetector.Types.Rule

FromJSON Rule Source # 
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Defined in Amazonka.FraudDetector.Types.Rule

type Rep Rule Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Rule

type Rep Rule = D1 ('MetaData "Rule" "Amazonka.FraudDetector.Types.Rule" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Rule'" 'PrefixI 'True) (S1 ('MetaSel ('Just "detectorId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "ruleId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "ruleVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newRule Source #

Create a value of Rule 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:detectorId:Rule', rule_detectorId - The detector for which the rule is associated.

$sel:ruleId:Rule', rule_ruleId - The rule ID.

$sel:ruleVersion:Rule', rule_ruleVersion - The rule version.

rule_detectorId :: Lens' Rule Text Source #

The detector for which the rule is associated.

rule_ruleVersion :: Lens' Rule Text Source #

The rule version.

RuleDetail

data RuleDetail Source #

The details of the rule.

See: newRuleDetail smart constructor.

Constructors

RuleDetail' 

Fields

Instances

Instances details
Eq RuleDetail Source # 
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Defined in Amazonka.FraudDetector.Types.RuleDetail

Show RuleDetail Source # 
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Generic RuleDetail Source # 
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Defined in Amazonka.FraudDetector.Types.RuleDetail

Associated Types

type Rep RuleDetail :: Type -> Type #

NFData RuleDetail Source # 
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Methods

rnf :: RuleDetail -> () #

Hashable RuleDetail Source # 
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Defined in Amazonka.FraudDetector.Types.RuleDetail

FromJSON RuleDetail Source # 
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Defined in Amazonka.FraudDetector.Types.RuleDetail

type Rep RuleDetail Source # 
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Defined in Amazonka.FraudDetector.Types.RuleDetail

newRuleDetail :: RuleDetail Source #

Create a value of RuleDetail 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:ruleVersion:RuleDetail', ruleDetail_ruleVersion - The rule version.

$sel:lastUpdatedTime:RuleDetail', ruleDetail_lastUpdatedTime - Timestamp of the last time the rule was updated.

$sel:arn:RuleDetail', ruleDetail_arn - The rule ARN.

$sel:createdTime:RuleDetail', ruleDetail_createdTime - The timestamp of when the rule was created.

$sel:ruleId:RuleDetail', ruleDetail_ruleId - The rule ID.

$sel:outcomes:RuleDetail', ruleDetail_outcomes - The rule outcomes.

$sel:detectorId:RuleDetail', ruleDetail_detectorId - The detector for which the rule is associated.

$sel:expression:RuleDetail', ruleDetail_expression - The rule expression.

$sel:language:RuleDetail', ruleDetail_language - The rule language.

$sel:description:RuleDetail', ruleDetail_description - The rule description.

ruleDetail_lastUpdatedTime :: Lens' RuleDetail (Maybe Text) Source #

Timestamp of the last time the rule was updated.

ruleDetail_createdTime :: Lens' RuleDetail (Maybe Text) Source #

The timestamp of when the rule was created.

ruleDetail_detectorId :: Lens' RuleDetail (Maybe Text) Source #

The detector for which the rule is associated.

RuleResult

data RuleResult Source #

The rule results.

See: newRuleResult smart constructor.

Constructors

RuleResult' 

Fields

  • ruleId :: Maybe Text

    The rule ID that was matched, based on the rule execution mode.

  • outcomes :: Maybe [Text]

    The outcomes of the matched rule, based on the rule execution mode.

Instances

Instances details
Eq RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

Read RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

Show RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

Generic RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

Associated Types

type Rep RuleResult :: Type -> Type #

NFData RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

Methods

rnf :: RuleResult -> () #

Hashable RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

FromJSON RuleResult Source # 
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Defined in Amazonka.FraudDetector.Types.RuleResult

type Rep RuleResult Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.RuleResult

type Rep RuleResult = D1 ('MetaData "RuleResult" "Amazonka.FraudDetector.Types.RuleResult" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "RuleResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "ruleId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outcomes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newRuleResult :: RuleResult Source #

Create a value of RuleResult 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:ruleId:RuleResult', ruleResult_ruleId - The rule ID that was matched, based on the rule execution mode.

$sel:outcomes:RuleResult', ruleResult_outcomes - The outcomes of the matched rule, based on the rule execution mode.

ruleResult_ruleId :: Lens' RuleResult (Maybe Text) Source #

The rule ID that was matched, based on the rule execution mode.

ruleResult_outcomes :: Lens' RuleResult (Maybe [Text]) Source #

The outcomes of the matched rule, based on the rule execution mode.

Tag

data Tag Source #

A key and value pair.

See: newTag smart constructor.

Constructors

Tag' 

Fields

Instances

Instances details
Eq Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

Methods

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

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

Read Tag Source # 
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Defined in Amazonka.FraudDetector.Types.Tag

Show Tag Source # 
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Defined in Amazonka.FraudDetector.Types.Tag

Methods

showsPrec :: Int -> Tag -> ShowS #

show :: Tag -> String #

showList :: [Tag] -> ShowS #

Generic Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

Associated Types

type Rep Tag :: Type -> Type #

Methods

from :: Tag -> Rep Tag x #

to :: Rep Tag x -> Tag #

NFData Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

Methods

rnf :: Tag -> () #

Hashable Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

Methods

hashWithSalt :: Int -> Tag -> Int #

hash :: Tag -> Int #

ToJSON Tag Source # 
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Defined in Amazonka.FraudDetector.Types.Tag

FromJSON Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

type Rep Tag Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Tag

type Rep Tag = D1 ('MetaData "Tag" "Amazonka.FraudDetector.Types.Tag" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTag Source #

Create a value of Tag 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:key:Tag', tag_key - A tag key.

$sel:value:Tag', tag_value - A value assigned to a tag key.

tag_key :: Lens' Tag Text Source #

A tag key.

tag_value :: Lens' Tag Text Source #

A value assigned to a tag key.

TrainingDataSchema

data TrainingDataSchema Source #

The training data schema.

See: newTrainingDataSchema smart constructor.

Constructors

TrainingDataSchema' 

Fields

Instances

Instances details
Eq TrainingDataSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

Read TrainingDataSchema Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

Show TrainingDataSchema Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

Generic TrainingDataSchema Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

Associated Types

type Rep TrainingDataSchema :: Type -> Type #

NFData TrainingDataSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

Methods

rnf :: TrainingDataSchema -> () #

Hashable TrainingDataSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

ToJSON TrainingDataSchema Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

FromJSON TrainingDataSchema Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

type Rep TrainingDataSchema Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingDataSchema

type Rep TrainingDataSchema = D1 ('MetaData "TrainingDataSchema" "Amazonka.FraudDetector.Types.TrainingDataSchema" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "TrainingDataSchema'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelVariables") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text]) :*: S1 ('MetaSel ('Just "labelSchema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelSchema)))

newTrainingDataSchema Source #

Create a value of TrainingDataSchema 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:modelVariables:TrainingDataSchema', trainingDataSchema_modelVariables - The training data schema variables.

$sel:labelSchema:TrainingDataSchema', trainingDataSchema_labelSchema - Undocumented member.

trainingDataSchema_modelVariables :: Lens' TrainingDataSchema [Text] Source #

The training data schema variables.

TrainingMetrics

data TrainingMetrics Source #

The training metric details.

See: newTrainingMetrics smart constructor.

Constructors

TrainingMetrics' 

Fields

  • auc :: Maybe Double

    The area under the curve. This summarizes true positive rate (TPR) and false positive rate (FPR) across all possible model score thresholds. A model with no predictive power has an AUC of 0.5, whereas a perfect model has a score of 1.0.

  • metricDataPoints :: Maybe [MetricDataPoint]

    The data points details.

Instances

Instances details
Eq TrainingMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingMetrics

Read TrainingMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingMetrics

Show TrainingMetrics Source # 
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Generic TrainingMetrics Source # 
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Associated Types

type Rep TrainingMetrics :: Type -> Type #

NFData TrainingMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingMetrics

Methods

rnf :: TrainingMetrics -> () #

Hashable TrainingMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingMetrics

FromJSON TrainingMetrics Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingMetrics

type Rep TrainingMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingMetrics

type Rep TrainingMetrics = D1 ('MetaData "TrainingMetrics" "Amazonka.FraudDetector.Types.TrainingMetrics" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "TrainingMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "auc") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "metricDataPoints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDataPoint]))))

newTrainingMetrics :: TrainingMetrics Source #

Create a value of TrainingMetrics 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:auc:TrainingMetrics', trainingMetrics_auc - The area under the curve. This summarizes true positive rate (TPR) and false positive rate (FPR) across all possible model score thresholds. A model with no predictive power has an AUC of 0.5, whereas a perfect model has a score of 1.0.

$sel:metricDataPoints:TrainingMetrics', trainingMetrics_metricDataPoints - The data points details.

trainingMetrics_auc :: Lens' TrainingMetrics (Maybe Double) Source #

The area under the curve. This summarizes true positive rate (TPR) and false positive rate (FPR) across all possible model score thresholds. A model with no predictive power has an AUC of 0.5, whereas a perfect model has a score of 1.0.

TrainingResult

data TrainingResult Source #

The training result details.

See: newTrainingResult smart constructor.

Constructors

TrainingResult' 

Fields

Instances

Instances details
Eq TrainingResult Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingResult

Read TrainingResult Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingResult

Show TrainingResult Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingResult

Generic TrainingResult Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingResult

Associated Types

type Rep TrainingResult :: Type -> Type #

NFData TrainingResult Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

rnf :: TrainingResult -> () #

Hashable TrainingResult Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingResult

FromJSON TrainingResult Source # 
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Defined in Amazonka.FraudDetector.Types.TrainingResult

type Rep TrainingResult Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.TrainingResult

type Rep TrainingResult = D1 ('MetaData "TrainingResult" "Amazonka.FraudDetector.Types.TrainingResult" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "TrainingResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataValidationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataValidationMetrics)) :*: (S1 ('MetaSel ('Just "trainingMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingMetrics)) :*: S1 ('MetaSel ('Just "variableImportanceMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VariableImportanceMetrics)))))

newTrainingResult :: TrainingResult Source #

Create a value of TrainingResult 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:dataValidationMetrics:TrainingResult', trainingResult_dataValidationMetrics - The validation metrics.

$sel:trainingMetrics:TrainingResult', trainingResult_trainingMetrics - The training metric details.

$sel:variableImportanceMetrics:TrainingResult', trainingResult_variableImportanceMetrics - The variable importance metrics.

Variable

data Variable Source #

The variable.

See: newVariable smart constructor.

Constructors

Variable' 

Fields

  • lastUpdatedTime :: Maybe Text

    The time when variable was last updated.

  • arn :: Maybe Text

    The ARN of the variable.

  • createdTime :: Maybe Text

    The time when the variable was created.

  • name :: Maybe Text

    The name of the variable.

  • dataSource :: Maybe DataSource

    The data source of the variable.

  • dataType :: Maybe DataType

    The data type of the variable. For more information see Variable types.

  • defaultValue :: Maybe Text

    The default value of the variable.

  • variableType :: Maybe Text

    The variable type of the variable.

    Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

  • description :: Maybe Text

    The description of the variable.

Instances

Instances details
Eq Variable Source # 
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Defined in Amazonka.FraudDetector.Types.Variable

Read Variable Source # 
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Show Variable Source # 
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Defined in Amazonka.FraudDetector.Types.Variable

Generic Variable Source # 
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Defined in Amazonka.FraudDetector.Types.Variable

Associated Types

type Rep Variable :: Type -> Type #

Methods

from :: Variable -> Rep Variable x #

to :: Rep Variable x -> Variable #

NFData Variable Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Variable

Methods

rnf :: Variable -> () #

Hashable Variable Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Variable

Methods

hashWithSalt :: Int -> Variable -> Int #

hash :: Variable -> Int #

FromJSON Variable Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Variable

type Rep Variable Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.Variable

newVariable :: Variable Source #

Create a value of Variable 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:lastUpdatedTime:Variable', variable_lastUpdatedTime - The time when variable was last updated.

$sel:arn:Variable', variable_arn - The ARN of the variable.

$sel:createdTime:Variable', variable_createdTime - The time when the variable was created.

$sel:name:Variable', variable_name - The name of the variable.

$sel:dataSource:Variable', variable_dataSource - The data source of the variable.

$sel:dataType:Variable', variable_dataType - The data type of the variable. For more information see Variable types.

$sel:defaultValue:Variable', variable_defaultValue - The default value of the variable.

$sel:variableType:Variable', variable_variableType - The variable type of the variable.

Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

$sel:description:Variable', variable_description - The description of the variable.

variable_lastUpdatedTime :: Lens' Variable (Maybe Text) Source #

The time when variable was last updated.

variable_arn :: Lens' Variable (Maybe Text) Source #

The ARN of the variable.

variable_createdTime :: Lens' Variable (Maybe Text) Source #

The time when the variable was created.

variable_name :: Lens' Variable (Maybe Text) Source #

The name of the variable.

variable_dataSource :: Lens' Variable (Maybe DataSource) Source #

The data source of the variable.

variable_dataType :: Lens' Variable (Maybe DataType) Source #

The data type of the variable. For more information see Variable types.

variable_defaultValue :: Lens' Variable (Maybe Text) Source #

The default value of the variable.

variable_variableType :: Lens' Variable (Maybe Text) Source #

The variable type of the variable.

Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

variable_description :: Lens' Variable (Maybe Text) Source #

The description of the variable.

VariableEntry

data VariableEntry Source #

A variable in the list of variables for the batch create variable request.

See: newVariableEntry smart constructor.

Constructors

VariableEntry' 

Fields

  • name :: Maybe Text

    The name of the variable.

  • dataSource :: Maybe Text

    The data source of the variable.

  • dataType :: Maybe Text

    The data type of the variable.

  • defaultValue :: Maybe Text

    The default value of the variable.

  • variableType :: Maybe Text

    The type of the variable. For more information see Variable types.

    Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

  • description :: Maybe Text

    The description of the variable.

Instances

Instances details
Eq VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

Read VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

Show VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

Generic VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

Associated Types

type Rep VariableEntry :: Type -> Type #

NFData VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

Methods

rnf :: VariableEntry -> () #

Hashable VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

ToJSON VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

type Rep VariableEntry Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableEntry

type Rep VariableEntry = D1 ('MetaData "VariableEntry" "Amazonka.FraudDetector.Types.VariableEntry" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "VariableEntry'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "defaultValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "variableType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newVariableEntry :: VariableEntry Source #

Create a value of VariableEntry 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:name:VariableEntry', variableEntry_name - The name of the variable.

$sel:dataSource:VariableEntry', variableEntry_dataSource - The data source of the variable.

$sel:dataType:VariableEntry', variableEntry_dataType - The data type of the variable.

$sel:defaultValue:VariableEntry', variableEntry_defaultValue - The default value of the variable.

$sel:variableType:VariableEntry', variableEntry_variableType - The type of the variable. For more information see Variable types.

Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

$sel:description:VariableEntry', variableEntry_description - The description of the variable.

variableEntry_name :: Lens' VariableEntry (Maybe Text) Source #

The name of the variable.

variableEntry_dataSource :: Lens' VariableEntry (Maybe Text) Source #

The data source of the variable.

variableEntry_dataType :: Lens' VariableEntry (Maybe Text) Source #

The data type of the variable.

variableEntry_defaultValue :: Lens' VariableEntry (Maybe Text) Source #

The default value of the variable.

variableEntry_variableType :: Lens' VariableEntry (Maybe Text) Source #

The type of the variable. For more information see Variable types.

Valid Values: AUTH_CODE | AVS | BILLING_ADDRESS_L1 | BILLING_ADDRESS_L2 | BILLING_CITY | BILLING_COUNTRY | BILLING_NAME | BILLING_PHONE | BILLING_STATE | BILLING_ZIP | CARD_BIN | CATEGORICAL | CURRENCY_CODE | EMAIL_ADDRESS | FINGERPRINT | FRAUD_LABEL | FREE_FORM_TEXT | IP_ADDRESS | NUMERIC | ORDER_ID | PAYMENT_TYPE | PHONE_NUMBER | PRICE | PRODUCT_CATEGORY | SHIPPING_ADDRESS_L1 | SHIPPING_ADDRESS_L2 | SHIPPING_CITY | SHIPPING_COUNTRY | SHIPPING_NAME | SHIPPING_PHONE | SHIPPING_STATE | SHIPPING_ZIP | USERAGENT

variableEntry_description :: Lens' VariableEntry (Maybe Text) Source #

The description of the variable.

VariableImportanceMetrics

data VariableImportanceMetrics Source #

The variable importance metrics details.

See: newVariableImportanceMetrics smart constructor.

Constructors

VariableImportanceMetrics' 

Fields

Instances

Instances details
Eq VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

Read VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

Show VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

Generic VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

Associated Types

type Rep VariableImportanceMetrics :: Type -> Type #

NFData VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

Hashable VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

FromJSON VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

type Rep VariableImportanceMetrics Source # 
Instance details

Defined in Amazonka.FraudDetector.Types.VariableImportanceMetrics

type Rep VariableImportanceMetrics = D1 ('MetaData "VariableImportanceMetrics" "Amazonka.FraudDetector.Types.VariableImportanceMetrics" "libZSservicesZSamazonka-frauddetectorZSamazonka-frauddetector" 'False) (C1 ('MetaCons "VariableImportanceMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "logOddsMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LogOddsMetric]))))

newVariableImportanceMetrics :: VariableImportanceMetrics Source #

Create a value of VariableImportanceMetrics 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:VariableImportanceMetrics', variableImportanceMetrics_logOddsMetrics - List of variable metrics.