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.SageMaker.Types.TimeSeriesForecastingSettings

Description

Documentation

data TimeSeriesForecastingSettings Source #

Time series forecast settings for the SageMaker Canvas app.

See: newTimeSeriesForecastingSettings smart constructor.

Constructors

TimeSeriesForecastingSettings'

Fields

amazonForecastRoleArn :: Maybe Text
The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.
status :: Maybe FeatureStatus
Describes whether time series forecasting is enabled or disabled in the Canvas app.

Instances

Instances details

FromJSON TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods parseJSON :: Value -> Parser TimeSeriesForecastingSettings # parseJSONList :: Value -> Parser [TimeSeriesForecastingSettings] #
ToJSON TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods toJSON :: TimeSeriesForecastingSettings -> Value # toEncoding :: TimeSeriesForecastingSettings -> Encoding # toJSONList :: [TimeSeriesForecastingSettings] -> Value # toEncodingList :: [TimeSeriesForecastingSettings] -> Encoding #
Generic TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Associated Types type Rep TimeSeriesForecastingSettings :: Type -> Type # Methods from :: TimeSeriesForecastingSettings -> Rep TimeSeriesForecastingSettings x # to :: Rep TimeSeriesForecastingSettings x -> TimeSeriesForecastingSettings #
Read TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods readsPrec :: Int -> ReadS TimeSeriesForecastingSettings # readList :: ReadS [TimeSeriesForecastingSettings] # readPrec :: ReadPrec TimeSeriesForecastingSettings # readListPrec :: ReadPrec [TimeSeriesForecastingSettings] #
Show TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods showsPrec :: Int -> TimeSeriesForecastingSettings -> ShowS # show :: TimeSeriesForecastingSettings -> String # showList :: [TimeSeriesForecastingSettings] -> ShowS #
NFData TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods rnf :: TimeSeriesForecastingSettings -> () #
Eq TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods (==) :: TimeSeriesForecastingSettings -> TimeSeriesForecastingSettings -> Bool # (/=) :: TimeSeriesForecastingSettings -> TimeSeriesForecastingSettings -> Bool #
Hashable TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings Methods hashWithSalt :: Int -> TimeSeriesForecastingSettings -> Int # hash :: TimeSeriesForecastingSettings -> Int #
type Rep TimeSeriesForecastingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings type Rep TimeSeriesForecastingSettings = D1 ('MetaData "TimeSeriesForecastingSettings" "Amazonka.SageMaker.Types.TimeSeriesForecastingSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TimeSeriesForecastingSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "amazonForecastRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureStatus))))

newTimeSeriesForecastingSettings :: TimeSeriesForecastingSettings Source #

Create a value of TimeSeriesForecastingSettings 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:amazonForecastRoleArn:TimeSeriesForecastingSettings', timeSeriesForecastingSettings_amazonForecastRoleArn - The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

$sel:status:TimeSeriesForecastingSettings', timeSeriesForecastingSettings_status - Describes whether time series forecasting is enabled or disabled in the Canvas app.

timeSeriesForecastingSettings_amazonForecastRoleArn :: Lens' TimeSeriesForecastingSettings (Maybe Text) Source #

The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

timeSeriesForecastingSettings_status :: Lens' TimeSeriesForecastingSettings (Maybe FeatureStatus) Source #

Describes whether time series forecasting is enabled or disabled in the Canvas app.