ProcessingJob
An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.
Types
Properties
Configuration to run a processing job in a specified container image.
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
The time the processing job was created.
Sets the environment variables in the Docker container.
A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
The time the processing job was last modified.
The ARN of a monitoring schedule for an endpoint associated with this processing job.
Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
The time that the processing job ended.
List of input configurations for the processing job.
The ARN of the processing job.
The name of the processing job.
The status of the processing job.
Configuration for uploading output from the processing container.
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.
The time that the processing job started.
Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.
An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
The ARN of the training job associated with this processing job.