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

Inherits:
Struct
  • Object
show all
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

Instance Attribute Details

#compression_typeString

The model output compression type. Select ‘None` to output an uncompressed model, recommended for large model outputs. Defaults to gzip.

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 31683

class OutputDataConfig < Struct.new(
  :kms_key_id,
  :s3_output_path,
  :compression_type)
  SENSITIVE = []
  include Aws::Structure
end

#kms_key_idString

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. 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][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

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 31683

class OutputDataConfig < Struct.new(
  :kms_key_id,
  :s3_output_path,
  :compression_type)
  SENSITIVE = []
  include Aws::Structure
end

#s3_output_pathString

Identifies the S3 path where you want SageMaker to store the model artifacts. For example, ‘s3://bucket-name/key-name-prefix`.

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 31683

class OutputDataConfig < Struct.new(
  :kms_key_id,
  :s3_output_path,
  :compression_type)
  SENSITIVE = []
  include Aws::Structure
end