Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Forecast.Types.ErrorMetric

Description

Synopsis

data ErrorMetric = ErrorMetric' {
- mase :: Maybe Double
- wape :: Maybe Double
- mape :: Maybe Double
- rmse :: Maybe Double
- forecastType :: Maybe Text
}
newErrorMetric :: ErrorMetric
errorMetric_mase :: Lens' ErrorMetric (Maybe Double)
errorMetric_wape :: Lens' ErrorMetric (Maybe Double)
errorMetric_mape :: Lens' ErrorMetric (Maybe Double)
errorMetric_rmse :: Lens' ErrorMetric (Maybe Double)
errorMetric_forecastType :: Lens' ErrorMetric (Maybe Text)

Documentation

data ErrorMetric Source #

Provides detailed error metrics to evaluate the performance of a predictor. This object is part of the Metrics object.

See: newErrorMetric smart constructor.

Constructors

ErrorMetric'
Fields mase :: Maybe Double The Mean Absolute Scaled Error (MASE) wape :: Maybe Double The weighted absolute percentage error (WAPE). mape :: Maybe Double The Mean Absolute Percentage Error (MAPE) rmse :: Maybe Double The root-mean-square error (RMSE). forecastType :: Maybe Text The Forecast type used to compute WAPE, MAPE, MASE, and RMSE.

Instances

Instances details

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

newErrorMetric :: ErrorMetric Source #

Create a value of ErrorMetric 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:mase:ErrorMetric', errorMetric_mase - The Mean Absolute Scaled Error (MASE)

$sel:wape:ErrorMetric', errorMetric_wape - The weighted absolute percentage error (WAPE).

$sel:mape:ErrorMetric', errorMetric_mape - The Mean Absolute Percentage Error (MAPE)

$sel:rmse:ErrorMetric', errorMetric_rmse - The root-mean-square error (RMSE).

$sel:forecastType:ErrorMetric', errorMetric_forecastType - The Forecast type used to compute WAPE, MAPE, MASE, and RMSE.

errorMetric_mase :: Lens' ErrorMetric (Maybe Double) Source #

The Mean Absolute Scaled Error (MASE)

errorMetric_wape :: Lens' ErrorMetric (Maybe Double) Source #

The weighted absolute percentage error (WAPE).

errorMetric_mape :: Lens' ErrorMetric (Maybe Double) Source #

The Mean Absolute Percentage Error (MAPE)

errorMetric_rmse :: Lens' ErrorMetric (Maybe Double) Source #

The root-mean-square error (RMSE).

errorMetric_forecastType :: Lens' ErrorMetric (Maybe Text) Source #

The Forecast type used to compute WAPE, MAPE, MASE, and RMSE.