Struct aws_sdk_sagemaker::model::processing_job::Builder

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

A builder for ProcessingJob

Implementations

impl Builder

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.

List of input configurations for the processing job.

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

List of input configurations for the processing job.

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

Configuration for uploading output from the processing container.

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

Configuration for uploading output from the processing container.

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

The name of the processing job.

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

The name of the processing job.

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

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.

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

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.

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

Configuration to run a processing job in a specified container image.

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

Configuration to run a processing job in 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.

Sets the environment variables in the Docker container.

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

Sets the environment variables in the Docker container.

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

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.

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

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.

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

The ARN of the role used to create the processing job.

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

The ARN of the role used to create the processing job.

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

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

• CreateProcessingJob

• CreateTrainingJob

• CreateTransformJob

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

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

• CreateProcessingJob

• CreateTrainingJob

• CreateTransformJob

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

The ARN of the processing job.

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

The ARN of the processing job.

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

The status of the processing job.

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

The status of the processing job.

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

A 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

A 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 that the processing job ended.

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

The time that the processing job ended.

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

The time that the processing job started.

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

The time that the processing job started.

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

The time the processing job was last modified.

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

The time the processing job was last modified.

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

The time the processing job was created.

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

The time 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 Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

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

The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

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

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

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

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

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

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.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

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.

pub fn build(self) -> ProcessingJob

Consumes the builder and constructs a ProcessingJob

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

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

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

This method tests for !=.

impl StructuralPartialEq for Builder