AWS CDK Reference

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v2.273.0

OutputDataConfig Struct ​

Configures the S3 bucket where SageMaker will save the result of model training.

Source
aws-stepfunctions-tasks/lib/sagemaker/base-types.ts

Example ​

ts
new tasks.SageMakerCreateTrainingJob(this, 'TrainSagemaker', {
  trainingJobName: sfn.JsonPath.stringAt('$.JobName'),
  algorithmSpecification: {
    algorithmName: 'BlazingText',
    trainingInputMode: tasks.InputMode.FILE,
  },
  inputDataConfig: [{
    channelName: 'train',
    dataSource: {
      s3DataSource: {
        s3DataType: tasks.S3DataType.S3_PREFIX,
        s3Location: tasks.S3Location.fromJsonExpression('$.S3Bucket'),
      },
    },
  }],
  outputDataConfig: {
    s3OutputLocation: tasks.S3Location.fromBucket(s3.Bucket.fromBucketName(this, 'Bucket', 'amzn-s3-demo-bucket'), 'myoutputpath'),
  },
  resourceConfig: {
    instanceCount: 1,
    instanceType: new ec2.InstanceType(sfn.JsonPath.stringAt('$.InstanceType')),
    volumeSize: Size.gibibytes(50),
  }, // optional: default is 1 instance of EC2 `M4.XLarge` with `10GB` volume
  stoppingCondition: {
    maxRuntime: Duration.hours(2),
  }, // optional: default is 1 hour
});

Properties ​

encryptionKeyIKeyencryption_keyIKeyencryptionKeyIKeyEncryptionKeyIKeyEncryptionKeyIKey= Amazon SageMaker uses the defaul…#
Optional KMS encryption key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
default

Default: Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account

s3OutputLocationS3Locations3_output_locationS3Locations3OutputLocationS3LocationS3OutputLocationS3LocationS3OutputLocationS3Locationrequired#
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts.