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.PredictorBaseline

Description

Synopsis

data PredictorBaseline = PredictorBaseline' {
- baselineMetrics :: Maybe [BaselineMetric]
}
newPredictorBaseline :: PredictorBaseline
predictorBaseline_baselineMetrics :: Lens' PredictorBaseline (Maybe [BaselineMetric])

Documentation

data PredictorBaseline Source #

Metrics you can use as a baseline for comparison purposes. Use these metrics when you interpret monitoring results for an auto predictor.

See: newPredictorBaseline smart constructor.

Constructors

PredictorBaseline'
Fields baselineMetrics :: Maybe [BaselineMetric] The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

Instances

Instances details

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

newPredictorBaseline :: PredictorBaseline Source #

Create a value of PredictorBaseline 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:baselineMetrics:PredictorBaseline', predictorBaseline_baselineMetrics - The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

predictorBaseline_baselineMetrics :: Lens' PredictorBaseline (Maybe [BaselineMetric]) Source #

The initial accuracy metrics for the predictor. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.