Struct aws_sdk_sagemaker::output::DescribeProcessingJobOutput

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#[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>,
}

Fields (Non-exhaustive)

This struct is marked as non-exhaustive

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional 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.

Struct aws_sdk_sagemaker::output::DescribeProcessingJobOutput

Fields (Non-exhaustive)

Implementations

impl DescribeProcessingJobOutput

pub fn processing_inputs(&self) -> Option<&[ProcessingInput]>

pub fn processing_output_config(&self) -> Option<&ProcessingOutputConfig>

pub fn processing_job_name(&self) -> Option<&str>

pub fn processing_resources(&self) -> Option<&ProcessingResources>

pub fn stopping_condition(&self) -> Option<&ProcessingStoppingCondition>

pub fn app_specification(&self) -> Option<&AppSpecification>

pub fn environment(&self) -> Option<&HashMap<String, String>>

pub fn network_config(&self) -> Option<&NetworkConfig>

pub fn role_arn(&self) -> Option<&str>

pub fn experiment_config(&self) -> Option<&ExperimentConfig>

pub fn processing_job_arn(&self) -> Option<&str>

pub fn processing_job_status(&self) -> Option<&ProcessingJobStatus>

pub fn exit_message(&self) -> Option<&str>

pub fn failure_reason(&self) -> Option<&str>

pub fn processing_end_time(&self) -> Option<&DateTime>

pub fn processing_start_time(&self) -> Option<&DateTime>

pub fn last_modified_time(&self) -> Option<&DateTime>

pub fn creation_time(&self) -> Option<&DateTime>

pub fn monitoring_schedule_arn(&self) -> Option<&str>

pub fn auto_ml_job_arn(&self) -> Option<&str>

pub fn training_job_arn(&self) -> Option<&str>

impl DescribeProcessingJobOutput

pub fn builder() -> Builder

Trait Implementations

impl Clone for DescribeProcessingJobOutput

fn clone(&self) -> DescribeProcessingJobOutput

fn clone_from(&mut self, source: &Self)

impl Debug for DescribeProcessingJobOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

impl PartialEq<DescribeProcessingJobOutput> for DescribeProcessingJobOutput

fn eq(&self, other: &DescribeProcessingJobOutput) -> bool

fn ne(&self, other: &DescribeProcessingJobOutput) -> bool

impl StructuralPartialEq for DescribeProcessingJobOutput

Auto Trait Implementations

impl RefUnwindSafe for DescribeProcessingJobOutput

impl Send for DescribeProcessingJobOutput

impl Sync for DescribeProcessingJobOutput

impl Unpin for DescribeProcessingJobOutput

impl UnwindSafe for DescribeProcessingJobOutput

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

pub fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

pub fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

pub fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

pub fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for T where U: From<T>,

pub fn into(self) -> U

impl<T> ToOwned for T where T: Clone,

type Owned = T

pub fn to_owned(&self) -> T

pub fn clone_into(&self, target: &mut T)

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<T> WithSubscriber for T

fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where S: Into<Dispatch>,

fn with_current_subscriber(self) -> WithDispatch<Self>

pub fn processing_inputs(&self) -> Option<&[ProcessingInput ]>

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T, U> Into<U> for T where
U: From<T>,

impl<T> ToOwned for T where
T: Clone,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,