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.

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.

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.

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.

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<CreateProcessingJobInputBuilder> 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