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
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.
S3 path where you want Amazon SageMaker to store the results of the transform job.