#[non_exhaustive]pub struct ProcessingJob {Show 22 fields
pub processing_inputs: Option<Vec<ProcessingInput>>,
pub processing_output_config: Option<ProcessingOutputConfig>,
pub processing_job_name: Option<String>,
pub processing_resources: Option<ProcessingResources>,
pub stopping_condition: Option<ProcessingStoppingCondition>,
pub app_specification: Option<AppSpecification>,
pub environment: Option<HashMap<String, String>>,
pub network_config: Option<NetworkConfig>,
pub role_arn: Option<String>,
pub experiment_config: Option<ExperimentConfig>,
pub processing_job_arn: Option<String>,
pub processing_job_status: Option<ProcessingJobStatus>,
pub exit_message: Option<String>,
pub failure_reason: Option<String>,
pub processing_end_time: Option<DateTime>,
pub processing_start_time: Option<DateTime>,
pub last_modified_time: Option<DateTime>,
pub creation_time: Option<DateTime>,
pub monitoring_schedule_arn: Option<String>,
pub auto_ml_job_arn: Option<String>,
pub training_job_arn: Option<String>,
pub tags: Option<Vec<Tag>>,
}Expand description
An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.processing_inputs: Option<Vec<ProcessingInput>>List of input configurations for the processing job.
processing_output_config: Option<ProcessingOutputConfig>Configuration for uploading output from the processing container.
processing_job_name: Option<String>The name of the processing job.
processing_resources: Option<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.
stopping_condition: Option<ProcessingStoppingCondition>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.
app_specification: Option<AppSpecification>Configuration to run a processing job in a specified container image.
environment: Option<HashMap<String, String>>Sets the environment variables in the Docker container.
network_config: Option<NetworkConfig>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.
role_arn: Option<String>The ARN of the role used to create the processing job.
experiment_config: Option<ExperimentConfig>Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
processing_job_arn: Option<String>The ARN of the processing job.
processing_job_status: Option<ProcessingJobStatus>The status of the processing job.
exit_message: Option<String>A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
failure_reason: Option<String>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
processing_end_time: Option<DateTime>The time that the processing job ended.
processing_start_time: Option<DateTime>The time that the processing job started.
last_modified_time: Option<DateTime>The time the processing job was last modified.
creation_time: Option<DateTime>The time the processing job was created.
monitoring_schedule_arn: Option<String>The ARN of a monitoring schedule for an endpoint associated with this processing job.
auto_ml_job_arn: Option<String>The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
training_job_arn: Option<String>The ARN of the training job associated with this processing job.
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.
Implementations§
Source§impl ProcessingJob
impl ProcessingJob
Sourcepub fn processing_inputs(&self) -> &[ProcessingInput]
pub fn processing_inputs(&self) -> &[ProcessingInput]
List of input configurations for the processing job.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .processing_inputs.is_none().
Sourcepub fn processing_output_config(&self) -> Option<&ProcessingOutputConfig>
pub fn processing_output_config(&self) -> Option<&ProcessingOutputConfig>
Configuration for uploading output from the processing container.
Sourcepub fn processing_job_name(&self) -> Option<&str>
pub fn processing_job_name(&self) -> Option<&str>
The name of the processing job.
Sourcepub fn processing_resources(&self) -> Option<&ProcessingResources>
pub fn processing_resources(&self) -> Option<&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.
Sourcepub fn stopping_condition(&self) -> Option<&ProcessingStoppingCondition>
pub fn stopping_condition(&self) -> Option<&ProcessingStoppingCondition>
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.
Sourcepub fn app_specification(&self) -> Option<&AppSpecification>
pub fn app_specification(&self) -> Option<&AppSpecification>
Configuration to run a processing job in a specified container image.
Sourcepub fn environment(&self) -> Option<&HashMap<String, String>>
pub fn environment(&self) -> Option<&HashMap<String, String>>
Sets the environment variables in the Docker container.
Sourcepub fn network_config(&self) -> Option<&NetworkConfig>
pub fn network_config(&self) -> Option<&NetworkConfig>
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.
Sourcepub fn experiment_config(&self) -> Option<&ExperimentConfig>
pub fn experiment_config(&self) -> Option<&ExperimentConfig>
Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
Sourcepub fn processing_job_arn(&self) -> Option<&str>
pub fn processing_job_arn(&self) -> Option<&str>
The ARN of the processing job.
Sourcepub fn processing_job_status(&self) -> Option<&ProcessingJobStatus>
pub fn processing_job_status(&self) -> Option<&ProcessingJobStatus>
The status of the processing job.
Sourcepub fn exit_message(&self) -> Option<&str>
pub fn exit_message(&self) -> Option<&str>
A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
Sourcepub fn failure_reason(&self) -> Option<&str>
pub fn failure_reason(&self) -> Option<&str>
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
Sourcepub fn processing_end_time(&self) -> Option<&DateTime>
pub fn processing_end_time(&self) -> Option<&DateTime>
The time that the processing job ended.
Sourcepub fn processing_start_time(&self) -> Option<&DateTime>
pub fn processing_start_time(&self) -> Option<&DateTime>
The time that the processing job started.
Sourcepub fn last_modified_time(&self) -> Option<&DateTime>
pub fn last_modified_time(&self) -> Option<&DateTime>
The time the processing job was last modified.
Sourcepub fn creation_time(&self) -> Option<&DateTime>
pub fn creation_time(&self) -> Option<&DateTime>
The time the processing job was created.
Sourcepub fn monitoring_schedule_arn(&self) -> Option<&str>
pub fn monitoring_schedule_arn(&self) -> Option<&str>
The ARN of a monitoring schedule for an endpoint associated with this processing job.
Sourcepub fn auto_ml_job_arn(&self) -> Option<&str>
pub fn auto_ml_job_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
Sourcepub fn training_job_arn(&self) -> Option<&str>
pub fn training_job_arn(&self) -> Option<&str>
The ARN of the training job associated with this processing job.
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.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().
Source§impl ProcessingJob
impl ProcessingJob
Sourcepub fn builder() -> ProcessingJobBuilder
pub fn builder() -> ProcessingJobBuilder
Creates a new builder-style object to manufacture ProcessingJob.
Trait Implementations§
Source§impl Clone for ProcessingJob
impl Clone for ProcessingJob
Source§fn clone(&self) -> ProcessingJob
fn clone(&self) -> ProcessingJob
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for ProcessingJob
impl Debug for ProcessingJob
Source§impl PartialEq for ProcessingJob
impl PartialEq for ProcessingJob
impl StructuralPartialEq for ProcessingJob
Auto Trait Implementations§
impl Freeze for ProcessingJob
impl RefUnwindSafe for ProcessingJob
impl Send for ProcessingJob
impl Sync for ProcessingJob
impl Unpin for ProcessingJob
impl UnwindSafe for ProcessingJob
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