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 |
Documentation
data OutputDataConfig Source #
Provides information about how to store model training results (model artifacts).
See: newOutputDataConfig
smart constructor.
OutputDataConfig' | |
|
Instances
Create a value of OutputDataConfig
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:kmsKeyId:OutputDataConfig'
, outputDataConfig_kmsKeyId
- The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption. The KmsKeyId
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"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon
SageMaker execution role must include permissions to call kms:Encrypt
.
If you don't provide a KMS key ID, Amazon SageMaker uses the default
KMS key for Amazon S3 for your role's account. Amazon SageMaker uses
server-side encryption with KMS-managed keys for OutputDataConfig
. If
you use a bucket policy with an s3:PutObject
permission that only
allows objects with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS-Managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you
specify in your CreateTrainingJob
, CreateTransformJob
, or
CreateHyperParameterTuningJob
requests. For more information, see
Using Key Policies in Amazon Web Services KMS
in the Amazon Web Services Key Management Service Developer Guide.
$sel:s3OutputPath:OutputDataConfig'
, outputDataConfig_s3OutputPath
- Identifies the S3 path where you want Amazon SageMaker to store the
model artifacts. For example, s3://bucket-name/key-name-prefix
.
outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text) Source #
The Amazon Web Services Key Management Service (Amazon Web Services KMS)
key that Amazon SageMaker uses to encrypt the model artifacts at rest
using Amazon S3 server-side encryption. The KmsKeyId
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"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon
SageMaker execution role must include permissions to call kms:Encrypt
.
If you don't provide a KMS key ID, Amazon SageMaker uses the default
KMS key for Amazon S3 for your role's account. Amazon SageMaker uses
server-side encryption with KMS-managed keys for OutputDataConfig
. If
you use a bucket policy with an s3:PutObject
permission that only
allows objects with server-side encryption, set the condition key of
s3:x-amz-server-side-encryption
to "aws:kms"
. For more
information, see
KMS-Managed Encryption Keys
in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you
specify in your CreateTrainingJob
, CreateTransformJob
, or
CreateHyperParameterTuningJob
requests. For more information, see
Using Key Policies in Amazon Web Services KMS
in the Amazon Web Services Key Management Service Developer Guide.
outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text Source #
Identifies the S3 path where you want Amazon SageMaker to store the
model artifacts. For example, s3://bucket-name/key-name-prefix
.