Class: Aws::SageMaker::Types::OutputDataConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::OutputDataConfig
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Provides information about how to store model training results (model artifacts).
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#compression_type ⇒ String
The model output compression type.
-
#kms_key_id ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that 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 SageMaker to store the model artifacts.
Instance Attribute Details
#compression_type ⇒ String
The model output compression type. Select None to output an uncompressed model, recommended for large model outputs. Defaults to gzip.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 41533 class OutputDataConfig < Struct.new( :kms_key_id, :s3_output_path, :compression_type) SENSITIVE = [] include Aws::Structure end |
#kms_key_id ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that 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 SageMaker execution role must include permissions to call kms:Encrypt. If you don’t provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role’s account. For more information, see
- KMS-Managed Encryption Keys][1
-
in the *Amazon Simple Storage
Service Developer Guide*. If the output data is stored in Amazon S3 Express One Zone, it is encrypted with server-side encryption with Amazon S3 managed keys (SSE-S3). KMS key is not supported for Amazon S3 Express One Zone
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][2
-
in the *Amazon
Web Services Key Management Service Developer Guide*.
[1]: docs.aws.amazon.com/AmazonS3/latest/userguide/UsingKMSEncryption.html [2]: docs.aws.amazon.com/kms/latest/developerguide/key-policies.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 41533 class OutputDataConfig < Struct.new( :kms_key_id, :s3_output_path, :compression_type) SENSITIVE = [] include Aws::Structure end |
#s3_output_path ⇒ String
Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 41533 class OutputDataConfig < Struct.new( :kms_key_id, :s3_output_path, :compression_type) SENSITIVE = [] include Aws::Structure end |