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v2.273.0

TransformOutput Struct ​

S3 location where you want Amazon SageMaker to save the results from the transform job.

Example ​

ts
new tasks.SageMakerCreateTransformJob(this, 'Batch Inference', {
  transformJobName: 'MyTransformJob',
  modelName: 'MyModelName',
  modelClientOptions: {
    invocationsMaxRetries: 3,  // default is 0
    invocationsTimeout: Duration.minutes(5),  // default is 60 seconds
  },
  transformInput: {
    transformDataSource: {
      s3DataSource: {
        s3Uri: 's3://inputbucket/train',
        s3DataType: tasks.S3DataType.S3_PREFIX,
      }
    }
  },
  transformOutput: {
    s3OutputPath: 's3://outputbucket/TransformJobOutputPath',
  },
  transformResources: {
    instanceCount: 1,
    instanceType: ec2.InstanceType.of(ec2.InstanceClass.M4, ec2.InstanceSize.XLARGE),
  }
});

Properties ​

acceptstringacceptstracceptStringAcceptstringAccept*string= None#
MIME type used to specify the output data.
assembleWithAssembleWithassemble_withAssembleWithassembleWithAssembleWithAssembleWithAssembleWithAssembleWithAssembleWith= None#
Defines how to assemble the results of the transform job as a single S3 object.
encryptionKeyIKeyRefencryption_keyIKeyRefencryptionKeyIKeyRefEncryptionKeyIKeyRefEncryptionKeyIKeyRef= default KMS key for Amazon S3 fo…#
AWS KMS key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
default

Default: default KMS key for Amazon S3 for your role's account.

s3OutputPathstrings3_output_pathstrs3OutputPathStringS3OutputPathstringS3OutputPath*stringrequired#
S3 path where you want Amazon SageMaker to store the results of the transform job.