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.SageMaker.Types.HumanLoopActivationConditionsConfig

Description

Synopsis

data HumanLoopActivationConditionsConfig = HumanLoopActivationConditionsConfig' {
- humanLoopActivationConditions :: Text
}
newHumanLoopActivationConditionsConfig :: Text -> HumanLoopActivationConditionsConfig
humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text

Documentation

data HumanLoopActivationConditionsConfig Source #

Defines under what conditions SageMaker creates a human loop. Used within . See for the required format of activation conditions.

See: newHumanLoopActivationConditionsConfig smart constructor.

Constructors

HumanLoopActivationConditionsConfig'

Fields

humanLoopActivationConditions :: Text
JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

Instances

Instances details

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

newHumanLoopActivationConditionsConfig Source #

Arguments

:: Text	`$sel:humanLoopActivationConditions:HumanLoopActivationConditionsConfig'`
-> HumanLoopActivationConditionsConfig

Create a value of HumanLoopActivationConditionsConfig 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:humanLoopActivationConditions:HumanLoopActivationConditionsConfig', humanLoopActivationConditionsConfig_humanLoopActivationConditions - JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text Source #

JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.