Class: Aws::SageMaker::Types::OutputDataConfig

Inherits:

Struct

Object
Struct
Aws::SageMaker::Types::OutputDataConfig

show all

Defined in:: gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

Note:

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.

Returns:

(String)

# 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.