libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker
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.SageMaker.Types.AutoMLPartialFailureReason

Description

 
Synopsis

Documentation

data AutoMLPartialFailureReason Source #

The reason for a partial failure of an AutoML job.

See: newAutoMLPartialFailureReason smart constructor.

Constructors

AutoMLPartialFailureReason' 

Fields

Instances

Instances details
Eq AutoMLPartialFailureReason Source # 
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Read AutoMLPartialFailureReason Source # 
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Show AutoMLPartialFailureReason Source # 
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Generic AutoMLPartialFailureReason Source # 
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Associated Types

type Rep AutoMLPartialFailureReason :: Type -> Type #

NFData AutoMLPartialFailureReason Source # 
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Hashable AutoMLPartialFailureReason Source # 
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FromJSON AutoMLPartialFailureReason Source # 
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type Rep AutoMLPartialFailureReason Source # 
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type Rep AutoMLPartialFailureReason = D1 ('MetaData "AutoMLPartialFailureReason" "Amazonka.SageMaker.Types.AutoMLPartialFailureReason" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLPartialFailureReason'" 'PrefixI 'True) (S1 ('MetaSel ('Just "partialFailureMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLPartialFailureReason :: AutoMLPartialFailureReason Source #

Create a value of AutoMLPartialFailureReason 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:partialFailureMessage:AutoMLPartialFailureReason', autoMLPartialFailureReason_partialFailureMessage - The message containing the reason for a partial failure of an AutoML job.

autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text) Source #

The message containing the reason for a partial failure of an AutoML job.