aws-cdk-lib.aws_stepfunctions_tasks.TransformInput

TransformInput Struct

Dataset to be transformed and the Amazon S3 location where it is stored.

Source

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

Example

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

compressionTypeCompressionTypecompression_typeCompressionTypecompressionTypeCompressionTypeCompressionTypeCompressionTypeCompressionTypeCompressionType= NONE#

The compression type of the transform data.

contentTypestringcontent_typestrcontentTypeStringContentTypestringContentType*string= None#

Multipurpose internet mail extension (MIME) type of the data.

splitTypeSplitTypesplit_typeSplitTypesplitTypeSplitTypeSplitTypeSplitTypeSplitTypeSplitType= NONE#

Method to use to split the transform job's data files into smaller batches.

transformDataSourceTransformDataSourcetransform_data_sourceTransformDataSourcetransformDataSourceTransformDataSourceTransformDataSourceTransformDataSourceTransformDataSourceTransformDataSourcerequired#

S3 location of the channel data.