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AWS::SageMaker::TrainingJob OutputDataConfig
Provides information about how to store model training results (model artifacts).
Syntax
To declare this entity in your CloudFormation template, use the following syntax:
JSON
{ "CompressionType" :String, "KmsKeyId" :String, "S3OutputPath" :String}
YAML
CompressionType:StringKmsKeyId:StringS3OutputPath:String
Properties
CompressionType-
The model output compression type. Select
Noneto output an uncompressed model, recommended for large model outputs. Defaults to gzip.Required: No
Type: String
Allowed values:
GZIP | NONEUpdate requires: Replacement
KmsKeyId-
The AWS Key Management Service (AWS KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The
KmsKeyIdcan 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 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 ZoneThe KMS key policy must grant permission to the IAM role that you specify in your
CreateTrainingJob,CreateTransformJob, orCreateHyperParameterTuningJobrequests. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.Required: No
Type: String
Pattern:
.*Maximum:
2048Update requires: Replacement
-
S3OutputPath-
Identifies the S3 path where you want SageMaker to store the model artifacts. For example,
s3://bucket-name/key-name-prefix.Required: Yes
Type: String
Pattern:
^(https|s3)://([^/]+)/?(.*)$Maximum:
1024Update requires: Replacement