Struct aws_sdk_sagemaker::operation::describe_processing_job::builders::DescribeProcessingJobOutputBuilder

#[non_exhaustive]
pub struct DescribeProcessingJobOutputBuilder { /* private fields */ }

A builder for DescribeProcessingJobOutput.

Implementations

impl DescribeProcessingJobOutputBuilder

pub fn processing_inputs(self, input: ProcessingInput) -> Self

Appends an item to processing_inputs.

To override the contents of this collection use set_processing_inputs.

The inputs for a processing job.

pub fn set_processing_inputs(self, input: Option<Vec<ProcessingInput>>) -> Self

The inputs for a processing job.

pub fn processing_output_config(self, input: ProcessingOutputConfig) -> Self

Output configuration for the processing job.

pub fn set_processing_output_config( self, input: Option<ProcessingOutputConfig> ) -> Self

Output configuration for the processing job.

pub fn processing_job_name(self, input: impl Into<String>) -> Self

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

pub fn set_processing_job_name(self, input: Option<String>) -> Self

The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

pub fn processing_resources(self, input: ProcessingResources) -> Self

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.

pub fn set_processing_resources( self, input: Option<ProcessingResources> ) -> Self

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.

pub fn stopping_condition(self, input: ProcessingStoppingCondition) -> Self

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

pub fn set_stopping_condition( self, input: Option<ProcessingStoppingCondition> ) -> Self

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

pub fn app_specification(self, input: AppSpecification) -> Self

Configures the processing job to run a specified container image.

pub fn set_app_specification(self, input: Option<AppSpecification>) -> Self

Configures the processing job to run a specified container image.

pub fn environment(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to environment.

To override the contents of this collection use set_environment.

The environment variables set in the Docker container.

pub fn set_environment(self, input: Option<HashMap<String, String>>) -> Self

The environment variables set in the Docker container.

pub fn network_config(self, input: NetworkConfig) -> Self

Networking options for a processing job.

pub fn set_network_config(self, input: Option<NetworkConfig>) -> Self

Networking options for a processing job.

pub fn role_arn(self, input: impl Into<String>) -> Self

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

pub fn set_role_arn(self, input: Option<String>) -> Self

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

pub fn experiment_config(self, input: ExperimentConfig) -> Self

The configuration information used to create an experiment.

pub fn set_experiment_config(self, input: Option<ExperimentConfig>) -> Self

The configuration information used to create an experiment.

pub fn processing_job_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the processing job.

pub fn set_processing_job_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the processing job.

pub fn processing_job_status(self, input: ProcessingJobStatus) -> Self

Provides the status of a processing job.

pub fn set_processing_job_status( self, input: Option<ProcessingJobStatus> ) -> Self

Provides the status of a processing job.

pub fn exit_message(self, input: impl Into<String>) -> Self

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

pub fn set_exit_message(self, input: Option<String>) -> Self

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

pub fn failure_reason(self, input: impl Into<String>) -> Self

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

pub fn set_failure_reason(self, input: Option<String>) -> Self

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

pub fn processing_end_time(self, input: DateTime) -> Self

The time at which the processing job completed.

pub fn set_processing_end_time(self, input: Option<DateTime>) -> Self

The time at which the processing job completed.

pub fn processing_start_time(self, input: DateTime) -> Self

The time at which the processing job started.

pub fn set_processing_start_time(self, input: Option<DateTime>) -> Self

The time at which the processing job started.

pub fn last_modified_time(self, input: DateTime) -> Self

The time at which the processing job was last modified.

pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

The time at which the processing job was last modified.

pub fn creation_time(self, input: DateTime) -> Self

The time at which the processing job was created.

pub fn set_creation_time(self, input: Option<DateTime>) -> Self

The time at which the processing job was created.

pub fn monitoring_schedule_arn(self, input: impl Into<String>) -> Self

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

pub fn set_monitoring_schedule_arn(self, input: Option<String>) -> Self

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

pub fn auto_ml_job_arn(self, input: impl Into<String>) -> Self

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

pub fn set_auto_ml_job_arn(self, input: Option<String>) -> Self

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

pub fn training_job_arn(self, input: impl Into<String>) -> Self

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

pub fn set_training_job_arn(self, input: Option<String>) -> Self

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

pub fn build(self) -> DescribeProcessingJobOutput

Consumes the builder and constructs a DescribeProcessingJobOutput.

Trait Implementations

impl Clone for DescribeProcessingJobOutputBuilder

fn clone(&self) -> DescribeProcessingJobOutputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeProcessingJobOutputBuilder

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

Formats the value using the given formatter.

impl Default for DescribeProcessingJobOutputBuilder

fn default() -> DescribeProcessingJobOutputBuilder

Returns the “default value” for a type.

impl PartialEq<DescribeProcessingJobOutputBuilder> for DescribeProcessingJobOutputBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for DescribeProcessingJobOutputBuilder