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.LabelingJobResourceConfig

Description

Synopsis

data LabelingJobResourceConfig = LabelingJobResourceConfig' {
- volumeKmsKeyId :: Maybe Text
}
newLabelingJobResourceConfig :: LabelingJobResourceConfig
labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text)

Documentation

data LabelingJobResourceConfig Source #

Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.

See: newLabelingJobResourceConfig smart constructor.

Constructors

LabelingJobResourceConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.
You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.
The VolumeKmsKeyId can be any of the following formats:
- KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```
- Amazon Resource Name (ARN) of a KMS Key
```
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
```

Instances

Instances details

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

newLabelingJobResourceConfig :: LabelingJobResourceConfig Source #

Create a value of LabelingJobResourceConfig 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:volumeKmsKeyId:LabelingJobResourceConfig', labelingJobResourceConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"