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pub struct DescribeProcessingJobResponse {
Show 21 fields pub app_specification: AppSpecification, pub auto_ml_job_arn: Option<String>, pub creation_time: f64, pub environment: Option<HashMap<String, String>>, pub exit_message: Option<String>, pub experiment_config: Option<ExperimentConfig>, pub failure_reason: Option<String>, pub last_modified_time: Option<f64>, pub monitoring_schedule_arn: Option<String>, pub network_config: Option<NetworkConfig>, pub processing_end_time: Option<f64>, pub processing_inputs: Option<Vec<ProcessingInput>>, pub processing_job_arn: String, pub processing_job_name: String, pub processing_job_status: String, pub processing_output_config: Option<ProcessingOutputConfig>, pub processing_resources: ProcessingResources, pub processing_start_time: Option<f64>, pub role_arn: Option<String>, pub stopping_condition: Option<ProcessingStoppingCondition>, pub training_job_arn: Option<String>,
}

Fields

app_specification: AppSpecification

Configures the processing job to run a specified container image.

auto_ml_job_arn: Option<String>

The ARN of an AutoML job associated with this processing job.

creation_time: f64

The time at which the processing job was created.

environment: Option<HashMap<String, String>>

The environment variables set in the Docker container.

exit_message: Option<String>

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

experiment_config: Option<ExperimentConfig>

The configuration information used to create an experiment.

failure_reason: Option<String>

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

last_modified_time: Option<f64>

The time at which the processing job was last modified.

monitoring_schedule_arn: Option<String>

The ARN of a monitoring schedule for an endpoint associated with this processing job.

network_config: Option<NetworkConfig>

Networking options for a processing job.

processing_end_time: Option<f64>

The time at which the processing job completed.

processing_inputs: Option<Vec<ProcessingInput>>

The inputs for a processing job.

processing_job_arn: String

The Amazon Resource Name (ARN) of 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_job_status: String

Provides the status of a processing job.

processing_output_config: Option<ProcessingOutputConfig>

Output configuration for the processing job.

processing_resources: ProcessingResources

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.

processing_start_time: Option<f64>

The time at which the processing job started.

role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

stopping_condition: Option<ProcessingStoppingCondition>

The time limit for how long the processing job is allowed to run.

training_job_arn: Option<String>

The ARN of a training job associated with this processing job.

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