aws sagemaker create-processing-job

Creates a processing job

Options

NameDescription
--processing-inputs <list>An array of inputs configuring the data to download into the processing container
--processing-output-config <structure>Output configuration for the processing job
--processing-job-name <string>The name of the processing job. The name must be unique within an AWS Region in the AWS account
--processing-resources <structure>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance
--stopping-condition <structure>The time limit for how long the processing job is allowed to run
--app-specification <structure>Configures the processing job to run a specified Docker container image
--environment <map>The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported
--network-config <structure>Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs
--role-arn <string>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf
--tags <list>(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide
--experiment-config <structure>Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs: CreateProcessingJob CreateTrainingJob CreateTransformJob
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally
--generate-cli-skeleton <string>Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command