sagemaker/aws.sdk.kotlin.services.sagemaker.model/TransformJob/Builder

Builder

Properties

The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

creationTime

var creationTime: Instant?

A timestamp that shows when the transform Job was created.

dataCaptureConfig

var dataCaptureConfig: BatchDataCaptureConfig?

Configuration to control how SageMaker captures inference data for batch transform jobs.

dataProcessing

var dataProcessing: DataProcessing?

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

environment

var environment: Map<String, String>?

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

experimentConfig

var experimentConfig: ExperimentConfig?

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

failureReason

var failureReason: String?

If the transform job failed, the reason it failed.

labelingJobArn

var labelingJobArn: String?

The Amazon Resource Name (ARN) of the labeling job that created the transform job.

maxConcurrentTransforms

var maxConcurrentTransforms: Int?

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

maxPayloadInMb

var maxPayloadInMb: Int?

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

modelClientConfig

var modelClientConfig: ModelClientConfig?

Configures the timeout and maximum number of retries for processing a transform job invocation.

modelName

var modelName: String?

The name of the model associated with the transform job.