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.Baseline

Description

Synopsis

data Baseline = Baseline' {
- predictorBaseline :: Maybe PredictorBaseline
}
newBaseline :: Baseline
baseline_predictorBaseline :: Lens' Baseline (Maybe PredictorBaseline)

Documentation

data Baseline Source #

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

See: newBaseline smart constructor.

Constructors

Baseline'
Fields predictorBaseline :: Maybe PredictorBaseline The initial accuracy metrics for the predictor you are monitoring. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

Instances

Instances details

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

newBaseline :: Baseline Source #

Create a value of Baseline 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:predictorBaseline:Baseline', baseline_predictorBaseline - The initial accuracy metrics for the predictor you are monitoring. Use these metrics as a baseline for comparison purposes as you use your predictor and the metrics change.

baseline_predictorBaseline :: Lens' Baseline (Maybe PredictorBaseline) Source #

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