Class: Aws::SageMaker::Types::OutputDataConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::OutputDataConfig
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
When making an API call, you may pass OutputDataConfig data as a hash:
{
kms_key_id: "KmsKeyId",
s3_output_path: "S3Uri", # required
}
Provides information about how to store model training results (model artifacts).
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#kms_key_id ⇒ String
The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
-
#s3_output_path ⇒ String
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.
Instance Attribute Details
#kms_key_id ⇒ String
The AWS Key Management Service (AWS 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 master 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 AWS KMS in the AWS Key Management
Service Developer Guide.
27267 27268 27269 27270 27271 27272 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 27267 class OutputDataConfig < Struct.new( :kms_key_id, :s3_output_path) SENSITIVE = [] include Aws::Structure end |
#s3_output_path ⇒ String
Identifies the S3 path where you want Amazon SageMaker to store the
model artifacts. For example, s3://bucket-name/key-name-prefix
.
27267 27268 27269 27270 27271 27272 |
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 27267 class OutputDataConfig < Struct.new( :kms_key_id, :s3_output_path) SENSITIVE = [] include Aws::Structure end |