aws sagemaker create-transform-job

Starts a transform job. AWS CLI reference

14 options Its page in the AWS CLI reference

Options

14 in the AWS CLI reference

--batch-strategySpecifies the number of records to include in a mini-batch for an HTTP inference request.

--data-capture-configConfiguration to control how SageMaker captures inference data.

--data-processingThe 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.

--environmentThe environment variables to set in the Docker container.

--experiment-configAssociates a SageMaker job as a trial component with an experiment and trial.

--max-concurrent-transformsThe maximum number of parallel requests that can be sent to each instance in a transform job.

--max-payload-in-mbThe maximum allowed size of the payload, in MB.

--model-client-configConfigures the timeout and maximum number of retries for processing a transform job invocation.

--model-nameThe name of the model that you want to use for the transform job.

--tags(Optional) An array of key-value pairs.

--transform-inputDescribes the input source and the way the transform job consumes it.

--transform-job-nameThe name of the transform job.

--transform-outputDescribes the results of the transform job.

--transform-resourcesDescribes the resources, including ML instance types and ML instance count, to use for the transform job.