libZSservicesZSamazonka-lookoutmetricsZSamazonka-lookoutmetrics
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.LookoutMetrics.Types.DimensionValueContribution

Description

 
Synopsis

Documentation

data DimensionValueContribution Source #

The severity of a value of a dimension that contributed to an anomaly.

See: newDimensionValueContribution smart constructor.

Constructors

DimensionValueContribution' 

Fields

Instances

Instances details
Eq DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

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

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

Read DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

readsPrec :: Int -> ReadS DimensionValueContribution #

readList :: ReadS [DimensionValueContribution] #

readPrec :: ReadPrec DimensionValueContribution #

readListPrec :: ReadPrec [DimensionValueContribution] #

Show DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

showsPrec :: Int -> DimensionValueContribution -> ShowS #

show :: DimensionValueContribution -> String #

showList :: [DimensionValueContribution] -> ShowS #

Generic DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Associated Types

type Rep DimensionValueContribution :: Type -> Type #

Methods

from :: DimensionValueContribution -> Rep DimensionValueContribution x #

to :: Rep DimensionValueContribution x -> DimensionValueContribution #

NFData DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

rnf :: DimensionValueContribution -> () #

Hashable DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

hashWithSalt :: Int -> DimensionValueContribution -> Int #

hash :: DimensionValueContribution -> Int #

FromJSON DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

Methods

parseJSON :: Value -> Parser DimensionValueContribution #

parseJSONList :: Value -> Parser [DimensionValueContribution] #

type Rep DimensionValueContribution Source # 
Instance details

Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution

type Rep DimensionValueContribution = D1 ('MetaData "DimensionValueContribution" "Amazonka.LookoutMetrics.Types.DimensionValueContribution" "libZSservicesZSamazonka-lookoutmetricsZSamazonka-lookoutmetrics" 'False) (C1 ('MetaCons "DimensionValueContribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dimensionValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "contributionScore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newDimensionValueContribution :: DimensionValueContribution Source #

Create a value of DimensionValueContribution 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:dimensionValue:DimensionValueContribution', dimensionValueContribution_dimensionValue - The value of the dimension.

$sel:contributionScore:DimensionValueContribution', dimensionValueContribution_contributionScore - The severity score of the value.

dimensionValueContribution_dimensionValue :: Lens' DimensionValueContribution (Maybe Text) Source #

The value of the dimension.

dimensionValueContribution_contributionScore :: Lens' DimensionValueContribution (Maybe Double) Source #

The severity score of the value.