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.Forecast.Types.EvaluationResult

Description

Synopsis

Documentation

data EvaluationResult Source #

The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics response.

See: newEvaluationResult smart constructor.

Constructors

EvaluationResult'
Fields algorithmArn :: Maybe Text The Amazon Resource Name (ARN) of the algorithm that was evaluated. testWindows :: Maybe [WindowSummary] The array of test windows used for evaluating the algorithm. The `NumberOfBacktestWindows` from the EvaluationParameters object determines the number of windows in the array.

Instances

Instances details

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

newEvaluationResult :: EvaluationResult Source #

Create a value of EvaluationResult 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:algorithmArn:EvaluationResult', evaluationResult_algorithmArn - The Amazon Resource Name (ARN) of the algorithm that was evaluated.

$sel:testWindows:EvaluationResult', evaluationResult_testWindows - The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows from the EvaluationParameters object determines the number of windows in the array.

evaluationResult_algorithmArn :: Lens' EvaluationResult (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm that was evaluated.

evaluationResult_testWindows :: Lens' EvaluationResult (Maybe [WindowSummary]) Source #

The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows from the EvaluationParameters object determines the number of windows in the array.