Struct aws_sdk_sagemaker::operation::create_processing_job::builders::CreateProcessingJobInputBuilder

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

A builder for CreateProcessingJobInput.

Implementations

impl CreateProcessingJobInputBuilder

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.

An array of inputs configuring the data to download into the processing container.

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

An array of inputs configuring the data to download into the processing container.

pub fn get_processing_inputs(&self) -> &Option<Vec<ProcessingInput>>

An array of inputs configuring the data to download into the processing container.

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 get_processing_output_config(&self) -> &Option<ProcessingOutputConfig>

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.

This field is required.

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 get_processing_job_name(&self) -> &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.

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.

This field is required.

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 get_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.

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 get_stopping_condition(&self) -> &Option<ProcessingStoppingCondition>

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 Docker container image.

This field is required.

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

Configures the processing job to run a specified Docker container image.

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

Configures the processing job to run a specified Docker 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 to set in the Docker container. Up to 100 key and values entries in the map are supported.

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

The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.

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

The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.

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

Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.

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

Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.

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

Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.

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.

This field is required.

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 get_role_arn(&self) -> &Option<String>

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

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

Appends an item to tags.

To override the contents of this collection use set_tags.

(Optional) 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

(Optional) 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 get_tags(&self) -> &Option<Vec<Tag>>

(Optional) 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 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 get_experiment_config(&self) -> &Option<ExperimentConfig>

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 build(self) -> Result<CreateProcessingJobInput, BuildError>

Consumes the builder and constructs a CreateProcessingJobInput.

impl CreateProcessingJobInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateProcessingJobOutput, SdkError<CreateProcessingJobError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateProcessingJobInputBuilder

fn clone(&self) -> CreateProcessingJobInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateProcessingJobInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateProcessingJobInputBuilder

fn default() -> CreateProcessingJobInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateProcessingJobInputBuilder

fn eq(&self, other: &CreateProcessingJobInputBuilder) -> 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 CreateProcessingJobInputBuilder