#[non_exhaustive]pub struct DescribeProcessingJobOutput {Show 21 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>,
/* private fields */
}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>>The inputs for a processing job.
processing_output_config: Option<ProcessingOutputConfig>Output configuration for the processing job.
processing_job_name: Option<String>The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
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>The time limit for how long the processing job is allowed to run.
app_specification: Option<AppSpecification>Configures the processing job to run a specified container image.
environment: Option<HashMap<String, String>>The environment variables set in the Docker container.
network_config: Option<NetworkConfig>Networking options for a processing job.
role_arn: Option<String>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
experiment_config: Option<ExperimentConfig>The configuration information used to create an experiment.
processing_job_arn: Option<String>The Amazon Resource Name (ARN) of the processing job.
processing_job_status: Option<ProcessingJobStatus>Provides the status of a processing job.
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.
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 at which the processing job completed.
processing_start_time: Option<DateTime>The time at which the processing job started.
last_modified_time: Option<DateTime>The time at which the processing job was last modified.
creation_time: Option<DateTime>The time at which 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 ARN of an AutoML job associated with this processing job.
training_job_arn: Option<String>The ARN of a training job associated with this processing job.
Implementations§
Source§impl DescribeProcessingJobOutput
impl DescribeProcessingJobOutput
Sourcepub fn processing_inputs(&self) -> &[ProcessingInput]
pub fn processing_inputs(&self) -> &[ProcessingInput]
The inputs for a 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>
Output configuration for the processing job.
Sourcepub fn processing_job_name(&self) -> Option<&str>
pub fn processing_job_name(&self) -> Option<&str>
The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
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>
The time limit for how long the processing job is allowed to run.
Sourcepub fn app_specification(&self) -> Option<&AppSpecification>
pub fn app_specification(&self) -> Option<&AppSpecification>
Configures the processing job to run a specified container image.
Sourcepub fn environment(&self) -> Option<&HashMap<String, String>>
pub fn environment(&self) -> Option<&HashMap<String, String>>
The environment variables set in the Docker container.
Sourcepub fn network_config(&self) -> Option<&NetworkConfig>
pub fn network_config(&self) -> Option<&NetworkConfig>
Networking options for a processing job.
Sourcepub fn role_arn(&self) -> Option<&str>
pub fn role_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
Sourcepub fn experiment_config(&self) -> Option<&ExperimentConfig>
pub fn experiment_config(&self) -> Option<&ExperimentConfig>
The configuration information used to create an experiment.
Sourcepub fn processing_job_arn(&self) -> Option<&str>
pub fn processing_job_arn(&self) -> Option<&str>
The Amazon Resource Name (ARN) of the processing job.
Sourcepub fn processing_job_status(&self) -> Option<&ProcessingJobStatus>
pub fn processing_job_status(&self) -> Option<&ProcessingJobStatus>
Provides the status of a processing job.
Sourcepub fn exit_message(&self) -> Option<&str>
pub fn exit_message(&self) -> Option<&str>
An optional 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 at which the processing job completed.
Sourcepub fn processing_start_time(&self) -> Option<&DateTime>
pub fn processing_start_time(&self) -> Option<&DateTime>
The time at which the processing job started.
Sourcepub fn last_modified_time(&self) -> Option<&DateTime>
pub fn last_modified_time(&self) -> Option<&DateTime>
The time at which the processing job was last modified.
Sourcepub fn creation_time(&self) -> Option<&DateTime>
pub fn creation_time(&self) -> Option<&DateTime>
The time at which 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 ARN of an 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 a training job associated with this processing job.
Source§impl DescribeProcessingJobOutput
impl DescribeProcessingJobOutput
Sourcepub fn builder() -> DescribeProcessingJobOutputBuilder
pub fn builder() -> DescribeProcessingJobOutputBuilder
Creates a new builder-style object to manufacture DescribeProcessingJobOutput.
Trait Implementations§
Source§impl Clone for DescribeProcessingJobOutput
impl Clone for DescribeProcessingJobOutput
Source§fn clone(&self) -> DescribeProcessingJobOutput
fn clone(&self) -> DescribeProcessingJobOutput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreSource§impl Debug for DescribeProcessingJobOutput
impl Debug for DescribeProcessingJobOutput
Source§impl RequestId for DescribeProcessingJobOutput
impl RequestId for DescribeProcessingJobOutput
Source§fn request_id(&self) -> Option<&str>
fn request_id(&self) -> Option<&str>
None if the service could not be reached.impl StructuralPartialEq for DescribeProcessingJobOutput
Auto Trait Implementations§
impl Freeze for DescribeProcessingJobOutput
impl RefUnwindSafe for DescribeProcessingJobOutput
impl Send for DescribeProcessingJobOutput
impl Sync for DescribeProcessingJobOutput
impl Unpin for DescribeProcessingJobOutput
impl UnwindSafe for DescribeProcessingJobOutput
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