Number of records to include in a mini-batch for an HTTP inference request.
An optional description for this state.
SageMakerCreateTransformJob.Builder.create(software.constructs.Construct scope,
String id)
Environment variables to set in the Docker container.
SageMakerCreateTransformJob.Builder.heartbeat(software.amazon.awscdk.core.Duration heartbeat)
Timeout for the heartbeat.
JSONPath expression to select part of the state to be the input to this state.
AWS Step Functions integrates with services directly in the Amazon States Language.
Maximum number of parallel requests that can be sent to each instance in a transform job.
SageMakerCreateTransformJob.Builder.maxPayload(software.amazon.awscdk.core.Size maxPayload)
Maximum allowed size of the payload, in MB.
Configures the timeout and maximum number of retries for processing a transform job invocation.
Name of the model that you want to use for the transform job.
JSONPath expression to select select a portion of the state output to pass to the next state.
JSONPath expression to indicate where to inject the state's output.
The JSON that will replace the state's raw result and become the effective result before ResultPath is applied.
SageMakerCreateTransformJob.Builder.role(IRole role)
Role for the Transform Job.
Tags to be applied to the train job.
SageMakerCreateTransformJob.Builder.timeout(software.amazon.awscdk.core.Duration timeout)
Timeout for the state machine.
Dataset to be transformed and the Amazon S3 location where it is stored.
S3 location where you want Amazon SageMaker to save the results from the transform job.
ML compute instances for the transform job.