| 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.HumanLoopActivationConditionsConfig
Description
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 
  | |
Instances
newHumanLoopActivationConditionsConfig Source #
Arguments
| :: Text | 
  | 
| -> 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.