libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.SageMakerA2IRuntime.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2019-11-07 of the Amazon Augmented AI Runtime SDK configuration.

Errors

_ValidationException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The request isn't valid. Check the syntax and try again.

_ConflictException :: AsError a => Getting (First ServiceError) a ServiceError Source #

Your request has the same name as another active human loop but has different input data. You cannot start two human loops with the same name and different input data.

_ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #

You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of service resources or operations for your AWS account. For a list of Amazon A2I service quotes, see Amazon Augmented AI Service Quotes. Delete some resources or request an increase in your service quota. You can request a quota increase using Service Quotas or the AWS Support Center. To request an increase, see AWS Service Quotas in the AWS General Reference.

_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError Source #

You exceeded the maximum number of requests.

_InternalServerException :: AsError a => Getting (First ServiceError) a ServiceError Source #

We couldn't process your request because of an issue with the server. Try again later.

_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

We couldn't find the requested resource. Check that your resources exists and were created in the same AWS Region as your request, and try your request again.

ContentClassifier

newtype ContentClassifier Source #

Instances

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Eq ContentClassifier Source # 
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Ord ContentClassifier Source # 
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Read ContentClassifier Source # 
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Show ContentClassifier Source # 
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Generic ContentClassifier Source # 
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Associated Types

type Rep ContentClassifier :: Type -> Type #

NFData ContentClassifier Source # 
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Methods

rnf :: ContentClassifier -> () #

Hashable ContentClassifier Source # 
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ToJSON ContentClassifier Source # 
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ToJSONKey ContentClassifier Source # 
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FromJSON ContentClassifier Source # 
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FromJSONKey ContentClassifier Source # 
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ToLog ContentClassifier Source # 
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ToHeader ContentClassifier Source # 
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ToQuery ContentClassifier Source # 
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FromXML ContentClassifier Source # 
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ToXML ContentClassifier Source # 
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ToByteString ContentClassifier Source # 
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FromText ContentClassifier Source # 
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ToText ContentClassifier Source # 
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type Rep ContentClassifier Source # 
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type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.SageMakerA2IRuntime.Types.ContentClassifier" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'True) (C1 ('MetaCons "ContentClassifier'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentClassifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HumanLoopStatus

newtype HumanLoopStatus Source #

Constructors

HumanLoopStatus' 

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Eq HumanLoopStatus Source # 
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Ord HumanLoopStatus Source # 
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Read HumanLoopStatus Source # 
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Show HumanLoopStatus Source # 
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Generic HumanLoopStatus Source # 
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type Rep HumanLoopStatus :: Type -> Type #

NFData HumanLoopStatus Source # 
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Methods

rnf :: HumanLoopStatus -> () #

Hashable HumanLoopStatus Source # 
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ToJSON HumanLoopStatus Source # 
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ToJSONKey HumanLoopStatus Source # 
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FromJSON HumanLoopStatus Source # 
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FromJSONKey HumanLoopStatus Source # 
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ToLog HumanLoopStatus Source # 
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ToHeader HumanLoopStatus Source # 
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ToQuery HumanLoopStatus Source # 
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FromXML HumanLoopStatus Source # 
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ToXML HumanLoopStatus Source # 
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Methods

toXML :: HumanLoopStatus -> XML #

ToByteString HumanLoopStatus Source # 
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FromText HumanLoopStatus Source # 
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ToText HumanLoopStatus Source # 
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type Rep HumanLoopStatus Source # 
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type Rep HumanLoopStatus = D1 ('MetaData "HumanLoopStatus" "Amazonka.SageMakerA2IRuntime.Types.HumanLoopStatus" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'True) (C1 ('MetaCons "HumanLoopStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHumanLoopStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortOrder

newtype SortOrder Source #

Constructors

SortOrder' 

Fields

Bundled Patterns

pattern SortOrder_Ascending :: SortOrder 
pattern SortOrder_Descending :: SortOrder 

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Eq SortOrder Source # 
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Ord SortOrder Source # 
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Read SortOrder Source # 
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Show SortOrder Source # 
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Generic SortOrder Source # 
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type Rep SortOrder :: Type -> Type #

NFData SortOrder Source # 
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Methods

rnf :: SortOrder -> () #

Hashable SortOrder Source # 
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ToJSON SortOrder Source # 
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ToJSONKey SortOrder Source # 
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FromJSON SortOrder Source # 
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FromJSONKey SortOrder Source # 
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ToLog SortOrder Source # 
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ToHeader SortOrder Source # 
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ToQuery SortOrder Source # 
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FromXML SortOrder Source # 
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ToXML SortOrder Source # 
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toXML :: SortOrder -> XML #

ToByteString SortOrder Source # 
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Methods

toBS :: SortOrder -> ByteString #

FromText SortOrder Source # 
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ToText SortOrder Source # 
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Methods

toText :: SortOrder -> Text #

type Rep SortOrder Source # 
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type Rep SortOrder = D1 ('MetaData "SortOrder" "Amazonka.SageMakerA2IRuntime.Types.SortOrder" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'True) (C1 ('MetaCons "SortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HumanLoopDataAttributes

data HumanLoopDataAttributes Source #

Attributes of the data specified by the customer. Use these to describe the data to be labeled.

See: newHumanLoopDataAttributes smart constructor.

Constructors

HumanLoopDataAttributes' 

Fields

  • contentClassifiers :: [ContentClassifier]

    Declares that your content is free of personally identifiable information or adult content.

    Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this information.

Instances

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Eq HumanLoopDataAttributes Source # 
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Defined in Amazonka.SageMakerA2IRuntime.Types.HumanLoopDataAttributes

Read HumanLoopDataAttributes Source # 
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Show HumanLoopDataAttributes Source # 
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Generic HumanLoopDataAttributes Source # 
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type Rep HumanLoopDataAttributes :: Type -> Type #

NFData HumanLoopDataAttributes Source # 
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Methods

rnf :: HumanLoopDataAttributes -> () #

Hashable HumanLoopDataAttributes Source # 
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ToJSON HumanLoopDataAttributes Source # 
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type Rep HumanLoopDataAttributes Source # 
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type Rep HumanLoopDataAttributes = D1 ('MetaData "HumanLoopDataAttributes" "Amazonka.SageMakerA2IRuntime.Types.HumanLoopDataAttributes" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'False) (C1 ('MetaCons "HumanLoopDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ContentClassifier])))

newHumanLoopDataAttributes :: HumanLoopDataAttributes Source #

Create a value of HumanLoopDataAttributes 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:contentClassifiers:HumanLoopDataAttributes', humanLoopDataAttributes_contentClassifiers - Declares that your content is free of personally identifiable information or adult content.

Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this information.

humanLoopDataAttributes_contentClassifiers :: Lens' HumanLoopDataAttributes [ContentClassifier] Source #

Declares that your content is free of personally identifiable information or adult content.

Amazon SageMaker can restrict the Amazon Mechanical Turk workers who can view your task based on this information.

HumanLoopInput

data HumanLoopInput Source #

An object containing the human loop input in JSON format.

See: newHumanLoopInput smart constructor.

Constructors

HumanLoopInput' 

Fields

  • inputContent :: Text

    Serialized input from the human loop. The input must be a string representation of a file in JSON format.

Instances

Instances details
Eq HumanLoopInput Source # 
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Defined in Amazonka.SageMakerA2IRuntime.Types.HumanLoopInput

Read HumanLoopInput Source # 
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Show HumanLoopInput Source # 
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Generic HumanLoopInput Source # 
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type Rep HumanLoopInput :: Type -> Type #

NFData HumanLoopInput Source # 
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Methods

rnf :: HumanLoopInput -> () #

Hashable HumanLoopInput Source # 
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ToJSON HumanLoopInput Source # 
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type Rep HumanLoopInput Source # 
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type Rep HumanLoopInput = D1 ('MetaData "HumanLoopInput" "Amazonka.SageMakerA2IRuntime.Types.HumanLoopInput" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'False) (C1 ('MetaCons "HumanLoopInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "inputContent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHumanLoopInput Source #

Create a value of HumanLoopInput 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:inputContent:HumanLoopInput', humanLoopInput_inputContent - Serialized input from the human loop. The input must be a string representation of a file in JSON format.

humanLoopInput_inputContent :: Lens' HumanLoopInput Text Source #

Serialized input from the human loop. The input must be a string representation of a file in JSON format.

HumanLoopOutput

data HumanLoopOutput Source #

Information about where the human output will be stored.

See: newHumanLoopOutput smart constructor.

Constructors

HumanLoopOutput' 

Fields

  • outputS3Uri :: Text

    The location of the Amazon S3 object where Amazon Augmented AI stores your human loop output.

Instances

Instances details
Eq HumanLoopOutput Source # 
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Defined in Amazonka.SageMakerA2IRuntime.Types.HumanLoopOutput

Read HumanLoopOutput Source # 
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Show HumanLoopOutput Source # 
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Generic HumanLoopOutput Source # 
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type Rep HumanLoopOutput :: Type -> Type #

NFData HumanLoopOutput Source # 
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Methods

rnf :: HumanLoopOutput -> () #

Hashable HumanLoopOutput Source # 
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FromJSON HumanLoopOutput Source # 
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type Rep HumanLoopOutput Source # 
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type Rep HumanLoopOutput = D1 ('MetaData "HumanLoopOutput" "Amazonka.SageMakerA2IRuntime.Types.HumanLoopOutput" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'False) (C1 ('MetaCons "HumanLoopOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "outputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHumanLoopOutput Source #

Create a value of HumanLoopOutput 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:outputS3Uri:HumanLoopOutput', humanLoopOutput_outputS3Uri - The location of the Amazon S3 object where Amazon Augmented AI stores your human loop output.

humanLoopOutput_outputS3Uri :: Lens' HumanLoopOutput Text Source #

The location of the Amazon S3 object where Amazon Augmented AI stores your human loop output.

HumanLoopSummary

data HumanLoopSummary Source #

Summary information about the human loop.

See: newHumanLoopSummary smart constructor.

Constructors

HumanLoopSummary' 

Fields

Instances

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Eq HumanLoopSummary Source # 
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Defined in Amazonka.SageMakerA2IRuntime.Types.HumanLoopSummary

Read HumanLoopSummary Source # 
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Show HumanLoopSummary Source # 
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Generic HumanLoopSummary Source # 
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type Rep HumanLoopSummary :: Type -> Type #

NFData HumanLoopSummary Source # 
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Methods

rnf :: HumanLoopSummary -> () #

Hashable HumanLoopSummary Source # 
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FromJSON HumanLoopSummary Source # 
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type Rep HumanLoopSummary Source # 
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type Rep HumanLoopSummary = D1 ('MetaData "HumanLoopSummary" "Amazonka.SageMakerA2IRuntime.Types.HumanLoopSummary" "libZSservicesZSamazonka-sagemaker-a2i-runtimeZSamazonka-sagemaker-a2i-runtime" 'False) (C1 ('MetaCons "HumanLoopSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "humanLoopStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HumanLoopStatus)) :*: (S1 ('MetaSel ('Just "humanLoopName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "flowDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newHumanLoopSummary :: HumanLoopSummary Source #

Create a value of HumanLoopSummary 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:creationTime:HumanLoopSummary', humanLoopSummary_creationTime - When Amazon Augmented AI created the human loop.

$sel:failureReason:HumanLoopSummary', humanLoopSummary_failureReason - The reason why the human loop failed. A failure reason is returned when the status of the human loop is Failed.

$sel:humanLoopStatus:HumanLoopSummary', humanLoopSummary_humanLoopStatus - The status of the human loop.

$sel:humanLoopName:HumanLoopSummary', humanLoopSummary_humanLoopName - The name of the human loop.

$sel:flowDefinitionArn:HumanLoopSummary', humanLoopSummary_flowDefinitionArn - The Amazon Resource Name (ARN) of the flow definition used to configure the human loop.

humanLoopSummary_creationTime :: Lens' HumanLoopSummary (Maybe UTCTime) Source #

When Amazon Augmented AI created the human loop.

humanLoopSummary_failureReason :: Lens' HumanLoopSummary (Maybe Text) Source #

The reason why the human loop failed. A failure reason is returned when the status of the human loop is Failed.

humanLoopSummary_flowDefinitionArn :: Lens' HumanLoopSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the flow definition used to configure the human loop.