Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.LookoutMetrics.Types.DimensionValueContribution

Description

Documentation

data DimensionValueContribution Source #

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

See: newDimensionValueContribution smart constructor.

Constructors

DimensionValueContribution'
Fields contributionScore :: Maybe Double The severity score of the value. dimensionValue :: Maybe Text The value of the dimension.

Instances

Instances details

FromJSON DimensionValueContribution Source #
Instance details Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution Methods parseJSON :: Value -> Parser DimensionValueContribution # parseJSONList :: Value -> Parser [DimensionValueContribution] #
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 #
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 #
NFData DimensionValueContribution Source #
Instance details Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution Methods rnf :: DimensionValueContribution -> () #
Eq DimensionValueContribution Source #
Instance details Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution Methods (==) :: DimensionValueContribution -> DimensionValueContribution -> Bool # (/=) :: DimensionValueContribution -> DimensionValueContribution -> Bool #
Hashable DimensionValueContribution Source #
Instance details Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution Methods hashWithSalt :: Int -> DimensionValueContribution -> Int # hash :: DimensionValueContribution -> Int #
type Rep DimensionValueContribution Source #
Instance details Defined in Amazonka.LookoutMetrics.Types.DimensionValueContribution type Rep DimensionValueContribution = D1 ('MetaData "DimensionValueContribution" "Amazonka.LookoutMetrics.Types.DimensionValueContribution" "amazonka-lookoutmetrics-2.0-5gJoMWEA4GrGsqHAPh1b9h" 'False) (C1 ('MetaCons "DimensionValueContribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contributionScore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "dimensionValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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

$sel:dimensionValue:DimensionValueContribution', dimensionValueContribution_dimensionValue - The value of the dimension.

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

The severity score of the value.

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

The value of the dimension.