Struct DescribeProcessingJobResponse

pub struct DescribeProcessingJobResponse {

    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.

Trait Implementations

impl Clone for DescribeProcessingJobResponse

fn clone(&self) -> DescribeProcessingJobResponse

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeProcessingJobResponse

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

Formats the value using the given formatter.

impl Default for DescribeProcessingJobResponse

fn default() -> DescribeProcessingJobResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DescribeProcessingJobResponse

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DescribeProcessingJobResponse

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DescribeProcessingJobResponse