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.PredictorEvent

Description

Synopsis

data PredictorEvent = PredictorEvent' {
- datetime :: Maybe POSIX
- detail :: Maybe Text
}
newPredictorEvent :: PredictorEvent
predictorEvent_datetime :: Lens' PredictorEvent (Maybe UTCTime)
predictorEvent_detail :: Lens' PredictorEvent (Maybe Text)

Documentation

data PredictorEvent Source #

Provides details about a predictor event, such as a retraining.

See: newPredictorEvent smart constructor.

Constructors

PredictorEvent'
Fields datetime :: Maybe POSIX The timestamp for when the event occurred. detail :: Maybe Text The type of event. For example, `Retrain`. A retraining event denotes the timepoint when a predictor was retrained. Any monitor results from before the `Datetime` are from the previous predictor. Any new metrics are for the newly retrained predictor.

Instances

Instances details

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

newPredictorEvent :: PredictorEvent Source #

Create a value of PredictorEvent 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:datetime:PredictorEvent', predictorEvent_datetime - The timestamp for when the event occurred.

$sel:detail:PredictorEvent', predictorEvent_detail - The type of event. For example, Retrain. A retraining event denotes the timepoint when a predictor was retrained. Any monitor results from before the Datetime are from the previous predictor. Any new metrics are for the newly retrained predictor.

predictorEvent_datetime :: Lens' PredictorEvent (Maybe UTCTime) Source #

The timestamp for when the event occurred.

predictorEvent_detail :: Lens' PredictorEvent (Maybe Text) Source #

The type of event. For example, Retrain. A retraining event denotes the timepoint when a predictor was retrained. Any monitor results from before the Datetime are from the previous predictor. Any new metrics are for the newly retrained predictor.